www.insightssuccess.com MARCH 2018
10
THE
MOST
INNOVATIVE ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2018
A.I. TECH:
AMALGAMATING A.I. WITH HUMAN LIFE
Editor’s Note
www.insightssuccess.com MARCH 2018
Artificial Intelligence (AI): World of Infinite Possibilities 10
THE
MOST
INNOVATIVE ARTIFICIAL
INTELLIGENCE
SOLUTION PROVIDERS
2018
A.I. TECH:
AMALGAMATING A.I. WITH HUMAN LIFE
T
oday, Artificial Intelligence (AI) is involved in every aspect of human life. Beginning with browsing the web, placing an order or even using social media platforms, every move made on the internet is being enabled with AI. Also, AI is revolutionizing the sectors such as healthcare, logistics, defense, manufacturing, education, IT, politics, and many more with its efficient, highly productive, cost-effective and time-saving alternatives. The popularity of AI has increased due to its ability to minimize human effort, attention and involvement in the respective activity. In the last few years, it has been observed that Google, Tesla, Amazon, Uber, and many of such big giants are investing their huge resources in the AI space. The recent development has made it clear that AI is the future of mankind and one who possesses the highest AI capabilities will lead the respective space. Self-driving vehicles have become the current trending topic. Presently, this technology is in the testing phase and will be available in the near future. Driverless vehicles doesn’t demand the presence of a physical driver as it uses an AI-based architecture that allows riders to do some useful work or get relaxed instead of fatigue driving. In this decade, Apple, Waymo, Tesla, Ford, Honda, BMW, Nissan, Intel, Uber, and more are continuously working on their autonomous vehicles and testing each and every aspect of comfort and safety. AI technology is also transforming the defense sector with their highly useful products. These AI enabled products can be utilized where a human can’t withstand. These can also be useful for disaster relief also. Thus we observed that AI is having an influence everywhere and this made us go to the issue, The 10 Most Innovative Artificial Intelligence Solution Providers 2018. This issue will highlight the extraordinary efforts, contribution, and innovation done by different organizations in the AI field.
On the cover of this issue, we have, A.I. Tech: Amalgamating A.I. with Human Life. Generally, when we talk about security the first and foremost thing that comes to our mind is “Surveillance Camera”, But again here a question arises; are traditional surveillance cameras self-sufficient to provide us the optimum level security? The answer is no! So to provide a solution to the above mention dilemma A.I. Tech came into the picture. A.I. Tech is an outstanding company, where they strive to conceive, design and make systems realize as well as enable them to produce intelligent surveillance cameras. Indeed, they transform the way in which a camera sees the objects. At A.I. Tech they produce video analytic plugins that can be installed on board of surveillance cameras that not only observe the scene, but also they are able to discover what it is happening through the recognition of the objects and the analysis of their behavior. After doing in-depth research, we have enlisted companies who responsibly transforming human life with the incorporation of AI. App Orchid: A Specialist in the Science of Artificial Intelligence and Cognitive Computing, Dotin: Tapping into Subconscious Behaviors of Human to Provide Accurate and Powerful Business Outcomes, FogHorn SystemsTM: Delivering Business Outcomes for Industrial IoT, Kono.ai: Your Advanced Scheduling Partner, Robin Media: Your Personal Concierge for Live Experiences, and Tanjo: Improving Businesses, Industries, and People’s Lives by Bringing Machine Learning and Automation to the World. Also, Insights Success has interviewed Josh Ziegler: A Curious Entrepreneur Defining the Boundaries of Innovation. Josh is the Founder and CEO of Zumata, a leading-edge technology firm that embraces and deploys the cutting-edge technology. An avid tinkerer, he seeks out new challenges and opportunities with a keen eye to ‘making things better’ whether that’s making a tastier pizza or solving complex business problems. Originally from the USA, he has called Asia home for the last 15 years. While going through our magazine, you must not miss out the articles such as; Are humans on the verge to drop their jobs?, Will Artificial Intelligence Narrow the Bridge between Humans and Machines?, and Impacts of Artificial Intelligence has Started Resonating in CRM Industry from the Editor’s Pick. How to strengthen your security posture using artificial intelligence and AI: From Artificial to Authentic from the View of some of the Successful Leaders. Hope this edition of ours will create a mark on your mind.
Suhel Mashayak
CON
10 Cover Story
TS
08 A.I. TECH: Amalgamating A.I. with Human Life
16 INTERVIEW WITH INSIGHTS SUCCESS Josh Ziegler: A Curious Entrepreneur DeďŹ ning the Boundaries of Innovation
AI: From Artificial to Authentic
18
20
30
How to strengthen your security posture using artificial intelligence
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32
28
38
22
40
34
24
DOTIN: Tapping into Subconscious Behaviors of Human to Provide Accurate and Powerful Business Outcomes
28
FOGHORN SYSTEMS™: Delivering Business Outcomes for Industrial IoT
32
KONO.AI: Your Advanced Scheduling Partner
38
ROBIN MEDIA: Your Personal Concert Doorman
42
TANJO: Improving Businesses, Industries, and People's Lives by Bringing Machine Learning and Automation to the World
42
Articles FUTURE TRENDS Are humans on the verge to drop their jobs?
18
APP ORCHID: A Specialist in the Science of Artificial Intelligence and Cognitive Computing
INDUSTRY INSIDER Impacts of Artificial Intelligence has Started Resonating in CRM Industry
EDITOR'S PICK Will Artificial Intelligence Narrow the Bridge between Humans and Machines
Pooja M. Bansal Anish Miller Suhel Mashayak Jenny Fernandes Rajarshi Chatterjee Assistant Editors Brian Smith Kaustav Roy Visualiser David King Art & Design Director Amol Kamble Associate Designer Mayur Koli Co-designer Shweta Shinde Art & Picture Editor Paul Belin Jayant Khanna Senior Sales Manager Passi D. Business Development Manager Peter Collins Marketing Manager John Matthew Business Development Executives Steve, Joe, Alan, Rohit Sales Executives David, Kevin, Mark, Vijay Technical Head Jacob Smile Technical Specialist Amar, Pratiksha Digital Marketing Manager Marry D’Souza Online Marketing Strategist Alina Sege, Shubham Mahadik, Vaibhav K SME-SMO Executives Prashant Chauhan, Uma Dhenge, Gemson, Irfan Research Analyst Chidiebere Moses Circulation Manager Robert, Tanaji Database Management Stella Andrew Technology Consultant David Stokes Editor-in-Chief Senior Editor Managing Editor Executive Editors
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March, 2018 Corporate Ofces: Insights Success Media Tech LLC 555 Metro Place North, Suite 100, Dublin, OH 43017, United States Phone - (614)-602-1754 Email: info@insightssuccess.com For Subscription: www.insightssuccess.com
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THE
10
Innovative MOST
ARTIFICIAL
INTELLIGENCE
Cover Story
SOLUTION PROVIDERS
A.I. Tech: AMALGAMATING A.I. WITH HUMAN LIFE
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‘‘
2018
W
‘
OUR PRODUCTS ARE THOUGHT TO
COVER A LARGE
AMOUNT OF MARKETS,
FROM VIDEO SURVEILLANCE TO BUSINESS
INTELLIGENCE AND TRAFFIC
MONITORING
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e all are developing at an immense pace; let it be for a business or an individual, development has become the new norm. But with development comes the most dreadful challenge of providing optimum security to one’s assets. When we generally talk about security the first and foremost thing that comes to our mind is “Surveillance Camera,” But again here a question arises; are traditional surveillance cameras self-sufficient to provide us the optimum level security? The answer is no! So to provide a solution to the above mention dilemma A.I. Tech came into the picture. A.I. Tech is an outstanding company, where they strive to conceive, design and make systems realize as well as enable them to produce intelligent surveillance cameras. Indeed, they transform the way in which a camera sees the objects. At A.I. Tech they produce video analytic plugins that can be installed on board of surveillance cameras that not only observe the scene, but also they are able to discover what it is happening through the recognition of the objects and the analysis of their behavior. An experience of more than 25 years in research in the fields of Artificial Intelligence and Artificial Vision, combined with skills in the engineering of hardware and software solutions and on designing of embedded systems, allows A.I. Tech to propose innovative and advanced solutions in the field of intelligent video analysis. The Inception Story of A.I. Tech A.I. Tech started its operations in 2010. Though the company is young, but their experience in the field of intelligent video analysis is much older. Indeed, it comes from the academic background of its founders. They were all professors and researchers of the University of Salerno, in the south of Italy, having a several-decade-long experience in A.I. Such experience guarantees to the company a very competitive advantage in terms of the reduction of both cost and time for producing innovative solutions, if compared to other companies which operate in this field and which are typically bound to collaborate with the universities or research institutions in order to innovate their products. Since its creation, the mission of A.I. Tech has been to bring innovation and to add value in all the fields where some “eyes” (the camera), combined with a “brain” (A.I. Tech’s software) could help in solving a problem: security, retail and traffic management, just to mention a couple of examples. Indeed, a camera with a video analytic plugin can help the human in accomplishing a task in less time, and also sometimes doing something that a human (alone) could not do.
Outshining Competitors with Innovative Solutions Thanks to a consolidated and deep knowledge in artificial intelligence and artificial vision methodologies, A.I. Tech has become a leader provider in video analytic solutions in several vertical markets: Security, Traffic Monitoring and Retail are the three main target markets for A.I. Tech, where the video analytic products can be really useful. Below are some glimpses of the utilization of the video analytics in the above mentioned fields: Security Market: In a traditional video surveillance system, the camera acquires the video of a given scene to be protected, the best case being a human operator visualizes the videos alerts the security if something susceptible happens. Anyway, some psychological studies confirm that “After 12 minutes of continuous video monitoring, a human operator will often miss up to 45% of screen activity. After 22 minutes of video, up to 95% is overlooked”. The aim of A.I. Tech is to help the human operator in his boring (and often not really effective due to the physiological overcharge issue mentioned above) monitoring task, by making these traditional surveillance cameras smart, with the advanced artificial intelligence and computer vision algorithm developed by its team. These AI plugins can understand what is happening in the scene. It can trace and alert whether the baggage was abandoned in the airport or in the train station; whether a person intruded into a factory or a bank; it can detect any suspicious behavior near an ATM or any emergency happened with an old member of a family whether in the hospital or in his or her own apartment. Traffic Monitoring: Video analytic plugins created by A.I. Tech are very useful also for making the roads “smart”. Traffic monitoring and accident incident detection are two important issues that the A.I. Tech plugins are able to address. Indeed, a smart camera, provided with A.I. Tech plugins, is able to track the number and typologies of vehicles crossing a road or detect the queue; can identify the vehicle taking the wrong side of the road, a pedestrian crossing a highway or a car stopping in a forbidden zone. A way to make people feel safe on the road! Retail Market and Store Optimization: “If you do not know it, you cannot manage it. And you cannot improve it.” Thus, the starting point of each retailer is to know their stores, so as to improve their performance. A.I. Tech provides the way to identify and analyze the customer behavior in a retail shop and thus enhancing the customer satisfaction and business growth: the number of persons entering a store; the time spent by a person in front
Major Contributing Factors: The A.I. Tech has several decades of experience in the field of Artificial Intelligence. The resourceful team of A.I. Tech with its splendid research ethics helps the company to produce great results and makes the products more cost-efficient and time saving. “The clients believe in our methodologies, skills, passion, dedication and integrity which make them choose us again and again”, quotes the zealous leader. Clients Speak “We are working to change the way Surveillance Camera can be used in many applications. - declares Fabio Andreoni, Country Manager for Italy and Greece for Hanwha Techwin Europe - Our new range of camera based on Wisenet X DSP plays an important role as enabling technology in this direction.” “A.I. Tech has been able to exploit at its best the powerful processing capability of our camera, developing interesting and cutting edge algorithms, for application in Security, Intrusion detection and Business Intelligence for Retail Market. Their advanced and effective video analytic applications run directly on board of the camera, demonstrating how the future of Professional Video Surveillance looks like.” “Our company - declares Andrea Hruby, CEO of HESA - has been a leader in the security sector for fifty years as the first distributor in Italy and is the reference point for all professionals in the sector who need access to the most modern and advanced equipment selected from the best manufacturers all over the world. In this scenario, we place our collaboration with A.I. Tech, which represents an excellent partner able to offer the high level that has always characterized our proposal. It is therefore a great satisfaction to celebrate and share with A.I. Tech the important goal achieved, the result of great commitment, technological innovation, research at the highest levels and team spirit.”
‘DO ‘ YOU
WANT TO
SECURE
YOUR PLANT, YOUR BANK OR YOUR
ENVIRONMENT?
A.I.
TECH HAS THE VIDEO
ANALYSIS SOLUTION THAT
‘‘
of an advertisement content shown on a monitor; the gender and the age of the persons entering the store; the time spent by a customer while waiting for paying; the number of the persons stopping in front of a product of interest in the store. To sum up, these smart video plugins act as an intelligent sensor which is proved to be beneficial for the retailers.
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CORPORATE OFFICE Insights Success Media Tech LLC 555 Metro Place North, Suite 100, Dublin, OH 43017, United States Phone - (614)-602-1754,(302)-319-9947 Email: info@insightssuccess.com For Subscription: www.insightssuccess.com
THE
10
Innovative MOST
ARTIFICIAL
INTELLIGENCE SOLUTION PROVIDERS 2018
Company Name
Management
Brief
AI tech aitech.vision
Alessia Saggese Founder & CEO Mario Vento Co-owner
A.I. Tech is an outstanding company, where they strive to conceive, design and make systems realize as well as enable them to produce intelligent surveillance cameras.
App Orchid apporchid.com
Krishna Kumar CEO & Founder
App Orchid Inc. is a Silicon Valley based software developer specializing in the science of Artificial Intelligence and Cognitive Computing.
Dotin dotin.us
Ganesh Iyer Founder
Dotin is dedicated to understanding the art of decisions made by the subconscious mind to yield powerful business outcomes
FOGHORN SYSTEMS foghorn.io
David C. King CEO
FogHorn is a developer of “edge intelligence” software for industrial and commercial IoT application solutions.
Hanalytics Pte Ltd. hanalytics.sg
Joe Wu Founder
Hanalytics is a big data analytics and artificial intelligence company that specialises in exploiting deep learning techniques such as Deep Neural Network (DNN) to uncover insights and to create predictive applications in the healthcare sector.
jumper.ai jumper.ai
Yash Kotak Founder
jumper brings shopping to where your customers are Facebook, Instagram, Twitter and Youtube - and helps you sell directly in social media and anywhere else you do business.
Kono.ai kono.ai
YJ Min CEO
Kono.ai is the most skilled assistant that would help in arranging official or personal gatherings.
Loop AI Labs loop.ai
Gm Calafiore CEO
Loop AI Labs is working to radically change how machines can autonomously learn and understand the human world, mirroring the same learning process that humans use.
Robin Media tryrobin.co
Adam McIsaac CEO
Robin helps businesses and consumers when booking tickets and reservations for amazing live events and experiences.
Richard Boyd CEO
Tanjo teaches people how Machine Learning and Automation are changing their industries, and builds solutions that achieve the right balance between humans and automation to optimize outcomes.
Tanjo tanjo.ai
Josh Ziegler: A Curious Entrepreneur Dening the Boundaries of Innovation
J
osh is the founder and CEO of Zumata, a leading-edge technology firm that embraces and deploys cutting-edge technology. An avid tinkerer, he seeks out new challenges and opportunities with a keen eye to ‘making things better’ whether that’s making a tastier pizza or solving complex business problems. Originally from the USA, he has called Asia home for the last 15 years.
the TV show Seinfeld. In one episode, George suggested the name ‘Soda’ to an expecting mother who was having a tough time choosing a name, and then congratulated himself by saying, “I solve problems. That’s just what I do.”
1) First of all, what is your definition of AI? I am reminded of a favourite line from George Costanza on
2) Ok, I know you’re using AI for complicated problems around enormous data sets, hotel pricing,
16
To me, this sums things up nicely. AI is a set of tools to solve problems.
| MARCH 2018
INTERVIEW WITH INSIGHTS SUCCESS
image recognition, etc. in order to improve operational efficiencies in hotel distribution. However, what are some consumer facing problems you’re solving that impact our readers’ daily lives? Some of our solutions solve behind-the-scenes types of issues, while others address everyday problems. In term of our daily lives, we’re automating conversations to give customers better, faster, and more relevant information to their queries. We focus our efforts on problems in a few key areas - advisory and sales as well as customer support. Let’s take an example. Assume Sally wants a new credit card. Her first stop is her bank’s website. Her problem is that the bank has 20 different cards, and each one sounds fantastic. Which one is best for her? Does she really want to read all the fine print? Nope, she just wants a card that meets her needs, gives her certain perks, and allows her to get back to her day. With the help of a chatbot, she can directly ask for what she needs, “I want a card that gives me cash back on things I buy every day and has no annual fee.” The bot can immediately answer, “The Regular Joe Card gives you 2% cash back on groceries, 1.5% back on restaurants, and 1% back on gas. The first year annual fee is waived. Would you like to apply?” In this scenario, Sally gets precisely what she wants and the bank closes a ‘sale’. This scenario can play out equally well for travel, insurance, shoes, or toothpaste…the product line doesn’t matter.
cringe at the thought of getting in touch with customer service? I know I do! From the other side, if businesses wish to improve service quality, previously the only choice was to bear significant costs of increased manpower. Customer service is typically viewed as a cost-center, and as such the dynamics are setup for a miserable customer experience. AI is changing this, and Zumata is allowing customers to get instant responses to their questions absent human involvement. Do you recall what it was like to call your stock broker for a quote? What a hassle! The web made it easy to get some information effortlessly, and now AI is filling in the rest of the gaps. Combining the ability of automation to answer customer service queries while advising on new and highly targeted products can transition customer service from cost-center to revenue driver. Better still, AI agents work 24/7, don’t take breaks, speak many languages, are always friendly, can be easily trained, and cost a fraction of traditional customer service operations. These significant business advantages materializes in vastly improved response times, better accuracy, and significantly less annoyance for the customer. Bottom line, we’re using AI to solve problems faced by both businesses and the customers they serve.
Every business has customers needing information and advice on which products fit their needs. The problem is how to best distribute information and advice at a cost that allows profitability. AI makes it possible to deliver targeted advice and sales at a fraction of the cost of traditional methods. It’s a win for the customer and a win for the business providing the product or service.
3) So, you’re saying is, “AI is a problem solver. That’s just what it does”. What role do you see AI playing in the future? AI is talked about extensively, and everyone has an opinion. What I can say for certain is that if a company is not embracing the technology, it will fall behind. As a consumer, if you’re not choosing brands, products, or services that are supported by advanced technology, you’re probably making your life harder and less enjoyable than it could be. AI is making our lives better by removing obstacles, personalizing content, and allowing us to be more productive.
Of course, customers also have post-sales servicing requirements. Customer service reps take a beating, as the current approach to service is painful for both the business and the customer. Customers wait on hold, wait for days for email replies, or deal with overworked agents tending to many simultaneous conversations on live chat. Do you
As for the future, AI is increasingly everywhere, and I don’t think we can predict the true ramifications of its use or the eventual outcomes of its application. Progress is unstoppable, and the pace of change is ever accelerating. It’s a race, and I’d definitely prefer to be at the front of the pack.
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APP ORCHID: A Specialist in the Science of Articial Intelligence and Cognitive Computing
A
pp Orchid was established in 2013 by Krishna Kumar, an entrepreneur with an extensive experience in founding and establishing successful companies. Based in the Redwood City, App Orchid has grown exponentially with a widespread customer base in healthcare, insurance, and energy verticals. Within a short span of 24 months, the company has deployed its AI technology at multiple client locations, and grown to over 70 employees with an annual revenue growth rate of over 500% and with approximately 10M in annual revenues.
App Orchid is the only company that delivers a rich template of prebuilt business procedures that support rapid test driving and deployment of AI applications. The insights delivered by the data make it easy for business leaders to determine ideas that are viable and those that don’t work. Using a unique approach based on a technology called the “semantic web;” which performs knowledge discovery, i.e. discovering relationships between the data points and knowledge acquisition, time to market and the cost of deploying the application in a production setting is dramatically reduced.
App Orchid’s product suite primarily deals with vast amounts of unstructured data (like Word documents, PowerPoints, emails etc.), structured data and IoT (Internet of Things) data. It takes on an “App based” approach allowing organizations to take smaller bites, while being able to test and try out advanced AI concepts without overwhelming their operational systems. Such a non-invasive approach allows enterprises to “test-drive” their business functions and check the viability of applying revolutionary digital technologies against their landscape.
Rendering Wide Range of Solutions that are Proving their Supremacy in AI space
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App Orchid provides a wide range of solutions from Energy Management, Insurance Risk Assessment, and Underwriting to Clinical trials for personalized medicine, and targeted therapies. Energy and Natural Resource Management: App Orchid’s AI technology helps to integrate complex wind and solar energy profiles into an electric grid. Using high performance machine learning, the AI apps can identify sections of the electric grid
that are prone to failure and fix these inconsistencies before they cripple the grid. Actuarial Analysis (Risk Management) for Insurance: App Orchid can help in combining unstructured documents like compliance, regulations, market rules, and regional mandates with risk analytics for superior risk profiling and evaluation. Catastrophe Risk and Damage Analysis for Utilities and Insurance: Incorporate historical weather patterns, news, research reports, and social media, into calculations of risk from potential catastrophes to price coverage or determine prudent levels of reinsurance. Targeted Risk Analysis: With the wealth of individual information available on people and organizations, App Orchid makes it possible to apply AI and cognitive computing principles to provide risk profiles targeted down to an individual. For example, a Facebook profile of a mountain climbing enthusiast would indicate a propensity for risk taking that might warrant a different profile than a golfer. By unifying unstructured data across historical claims, App Orchid makes it possible to establish ground rules (or quantitative metrics) across fuzzy
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THE
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Innovative MOST
ARTIFICIAL
INTELLIGENCE SOLUTION PROVIDERS 2018
baselines, which was previously not possible. Targeted Therapies in Drug Discoveries: By combining complex genomic data with electronic medical records, unstructured diagnosis reports and toxicology reports, the App Orchid AI bots can predict drug efficacies, toxicity, and viability across several conditions. Such powerful tools can dramatically help Life Science companies formulate personalized therapies thereby increasing the predictability of a success in a drug pipeline.
Krishna Kumar CEO & Founder
Future Endeavors Accomplishments in Recent Times App Orchid has over 15 enterprise customers implementing over 25 use cases with application of technologies from SAP and IBM amongst others. For these groundbreaking projects, the company has won multiple accolades such as SAP HANA Innovation award, Gartner cool Vendor for 2016, Top 15 companies to watch, Silicon Reviews’ Top 50 companies to watch amongst others. Leading Personality of App Orchid Krishna Kumar is the CEO and Founder of App Orchid. He is an entrepreneur and an innovator with proven expertise in taking concept to a market-leading industry recognized commercial product. Under his leadership, App Orchid has emerged out of stealth mode with 3 products that are set to revolutionize Cognitive Computing, Machine Learning, and the “Internet of Everything” markets.
MARCH 2018 |
App Orchid has plans to extend its platform using next generation computer technologies like GPU to gain deeper insights in healthcare, insurance, and energy. For example, App Orchid is currently working on using AI to analyze medical images and mammograms that will help in cancer detection at a very early stage. Although this type of research is already underway across several institutions, the AI platform approach is unique as it combines large volumes of unstructured and other third party contextual data sources to influence its training algorithms.
‘‘
Our mission is to create
‘apps’ that make the internet of everything think like a
‘‘
human brain
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About the Author Mr. Jay Klein drives Voyager Lab’s technology strategy and core intellectual property. He brings more than 25 years of experience in data analytics, networking and telecommunications to the Company. Before joining Voyager Labs, he served as CTO at Allot Communications where he steered Allot’s data inspection and analytics core technology offerings, and as VP Strategic Business Development at DSPG, where he was responsible for strategic technology acquisitions. He also co-founded and held the CTO position at Ensemble Communications while founding and creating WiMAX and IEEE 802.16. He also served as the CTO and VP of R&D at CTP Systems, acquired rst by DSP Communications and later by Intel. Jay Klein holds a BSc in Electronics & Electrical Engineering from Tel Aviv University as well as numerous patents in various technology elds.
AI: Artificial From
W
ith so much attention focused on Artificial Intelligence (AI), it’s worth remembering that one size does not fit all. There are specific business-related pain points in mind when a company decides to deploy AI technology, so making the right choices can be a tricky task. For example, several months ago, an AI related breakthrough was announced – a robot learned and demonstrated the ability to perform a perfect backflip. While it is well acknowledged that the invested research and development for this mission was huge and the commercial potential for some applications is enormous, it is somewhat unclear how this specific innovation or the core models and algorithms of it, can serve other industries and verticals. Herein lies the problem.
20
to Authentic
Gauging AI success in one field in many cases can be meaningless for another. To make things worse, even when trying to go deeper into the technology and attempting to evaluate, for example, which Machine Learning algorithms are utilized by the product, or what are the number of layers in the Deep Neural Network models mentioned by specific vendors, in the end it will be possibly pointless as it does not directly reflect the solution deployment ‘success’ implications. Nevertheless, it seems that the market ignores this reality and continues to evaluate AI-based products by buzzword checklists using familiar and related AI terminology (e.g.,
| MARCH 2018
Supervised, Unsupervised, Deep Learning etc.). While checklists are an effective tool for comparative analysis it still requires the ‘right’ items to be included. Unfortunately, what typically is absent are the items which are important to the customer, from a problem-solution perspective. Introducing Authentic AI Given all of this, there is a need to change the narrative around AI technology and solutions to something meaningful and authentic that reflects the real-life challenges and opportunities that businesses are facing. This is the time to introduce Authentic AI. The Merriam-Webster dictionary defines ‘Authentic’ as both ‘worthy of acceptance or belief as conforming to or based on fact’ and ‘conforming to an original so as to reproduce essential features’. This is not about ‘Fake’ to be contrasted with ‘Real’. It’s about the essential features of AI which need to be acknowledged, and hence, redefine the ‘checklist’. Often, these essential ‘authentic’ features are hidden and only surface when a CIO/CDO is faced with a new problem to be solved. This is seen especially when the AI aspects of a proposed product or solution are fully explored by asking questions such as: - Is the AI technology utilized by the product aimed specifically for my problem, optimally (e.g., performance, cost, etc.)? - Is it capable of addressing the complete problem or only a part of it? - Can it be assimilated into the existing ecosystem without imposing new demands? - Can it address the compelling environmental conditions of the problem space?
These issues can be grouped into three different ‘classes’ ‘Original’, ‘Holistic’ and ‘Pragmatic’: Original – How innovative is the solution? This can be quantified by assessing the following: - the invention of new algorithms or even new models and - the use of complex orchestration techniques or - through the capability to handle complex data formats and structures.
MARCH 2018 |
While there is no need to re-invent the wheel repetitively for any problem, there are distinctive characteristics which require optimizing. Holistic – How complete is the proposed AI technology? It takes into account the capability of handling the end-to-end aspects of the solution, the competence of harmonizing the operation of the various AI components of the solution and the ability to adapt to ever changing conditions of the AI application. Pragmatic – Can the technology solve real world problems in their actual and natural space in a commercially viable way? This means that for example the data sources can be processed in their most native format (both unstructured or structured) as well as provide insights or results matching the pragmatic needs of the specific market expectations. In addition, the ability to be quickly deployed and rapid to act are assessed. All of these elements should be used to systematically assess and evaluate AI-based products and solutions to assess their authenticity and therefore effectiveness in specific use cases. For example, many home-loan mortgage evaluation and recommendation systems utilize a somewhat isolated machine learning based applicant classification method, one of many other processes included within the solution. The AI in this solution cannot be considered Authentic AI to a high degree as it ‘scores’ low on the ‘Original’ and ‘Holistic’ classes as it isn’t innovative ‘enough’ (from an AI sense). In addition, the AI component itself does not cover on its own the end-to-end aspects of the solution (hence affecting the overall performance and precision). It could be considered to be ‘Pragmatic’ to some level if it can handle the required data sources of financial institutions or the customer applications natively, and if the solution ‘output’ are the explicit results required as a specific recommendation (e.g., loan conditions). However, the deployment timeline (time-to-market) and commercial aspects need to be evaluated as well. This is just one example of many others, covering all kinds of variations. Perfect backflips may grant you a gold medal if you are a gymnast but if you are a master chess player don’t expect a winning move.
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HUMANS
ARE
T
he coming years will spectate a time when the entire work place would look different. Half of the world has already been infused by Artificial Intelligence. In this technology driven life, people seldom have time to waste. Today there is an alternate to every problem that linger humans. Let it be about automated or smart cars being used to move around, or taking help of “Siri” ‒ the personal assistant to help with directions, make a call or for any kind of service. The auto generated texts that is received from banks, Facebook wishing birthdays, reminders or events set in calendars, email filtering spam messages are all performed through automation. Thus, AI has its influence in every aspect of one’s life.
ON THE
VERGE TO DROP THEIR JOBS?
The world today is moving in a swift manner and there is a shift at how we live, move and communicate. Time seems to be barrier here as everyone is in rush to adapt to the changes. As humans, communicating to another being is very important. There are automatic secretaries that help in arranging such gatherings with all the necessary information. Everything out in the world is just at finger tips away. Scheduling meetings, ordering grocery, making dinner plans, ordering food at work or at home anything is possible. Technology has opened up infinite opportunities and the growth of technology in such a small span of time is commendable. How much easier can life be with the help of these technologies? The answer lies in future. Considering the changes that have occurred in past few years, it can be assured that AI is growing and the scopes are infinite. Robots to live midst us The alluring thing about humans is that they are always looking for something new and they strive
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FUTURE TRENDS
to make their lives easier. It doesn’t need a genius to know that the drastic change in every ones lives and the implementation of AI is the outcome of human thinking and hence it won’t be startling if robots would actually live amongst humans. If such a thing happens then the work load on humans would be reduced to minimal. Is that a good thing or bad? However from the outside this new world that would emerge seems like effortless. Most of the hazardous tasks like defusing a bomb, working at coal mine, using heavy and dangerous machines and even at war field would become less of a nightmare. Among other things AI is playing a major role in business and other work
fields which give a possibility of robots replacing workers in the market. As a coin has two sides, this initiation could have drawbacks, but there is brighter side too. If workers are being replaced with robots then there would be higher productivity and lesser time consumption. There would be a change in the graph of economic growth too. For example automated surveillance can be a boon to the entire mankind. Improved machine tools like 360 degree video cameras, sensors that can cover all kinds of images that pass by will bring a massive change. It might even put the jobs of security guards at question but this change will
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be a turning point. It can reduce the risks of thefts and other incidents. There is another masterpiece of AI that can be called as the game changer. AI robots are replacing receptionists. Handing multiple clients can be tiring and can at times even create confusions and thus replacing humans with robots is both impressive and time saving. Imagine how it would feel like when you are entering a museum and you are welcomed by a robot who gives you a quick, precise and clear tour of all the things in that museum. How wonderful is that? Robots can even be replaced by workers at factory. This brilliant step has lots of advantages. Workers at coal mine sites or any such mineral sites are always prone to danger, the replacement of humans by robots can reduce this risk and also it will be helpful in increasing productivity. Similarly AI robots can take over works of a driver, data analyst, delivery boys, advertising salesperson, telemarketer, bookkeeping clerks and many other such strenuous and boring jobs. That is not all they can be also be useful in other high intelligent jobs like that of an accountant. A robot will never go wrong with calculations and numbers. Are humans ready for this change? The biggest fear that lingered humans since years was what will happen to humans if robot takes over? Seems like humans are about to get their answers. AI robot is not a dream anymore rather it is the hard truth that the coming generation has to face. According the reports released by McKinsey & Company, 800 million workers would be replaced by robots worldwide by the year 2030. The report also stated that the countries with advanced economies like U.S and Germany up to one-third of work force might be replaced by robots by the year 2030. Does this suggest that the workers would have to learn other skills and find other jobs? The future looks both scary and impressive and what does it has in store can only be unfolded with time.
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DOTIN:
Tapping into Subconscious Behaviors of Human to Provide Accurate and Powerful Business Outcomes
H
uman Resource and e-commerce are going through heavy inflection point and are at the door step to be disrupted. The techniques used are very traditional and outdated that is overlooking maximum data from this digital revolution which could help personalize both users and business to make informed decisions. Artificial Intelligence and Machine Learning has been in the evolution of making one’s life better. It would definitely have an impact of obsoleting some of manual jobs, but also help in creating new opportunities. One of such leading company is Dotin, which is pioneering firm, which provides an unbiased and pervasive technology that enables business outcomes benefitting both the users and business. Dotin outshines its competitors because its business-to-business AI SaaS platform capturing unbiased personality of a user (buyers or employee or applicants) using digital assets primarily images extracted through digital footprint of a user. They have come up with a unique IP of understanding the true personality of the users by analyzing the subconscious drive or motivations of users through the images. Images were users have taken positive action. Like in social media it considers images that users have uploaded. It can even consider images of products which are personal accessories and come out with
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potential business outcomes to come back with true persona and very powerful business outcomes. They also consider the conscious mind set data like clicks, user actions including CRM data to create powerful business outcomes. What makes them different from their competition is these subconscious drive along with conscious mind data is translated to a very tangible business outcomes. Such data can be leveraged by enterprise to generate sales leads, do targeted marketing, better customer segmentation, personalization in ecommerce, help with applicants find the right job or employee hiring decisions (finding the right cultural fit) and even helping with employee engagement and retention. Evolution of Dotin Dotin was founded in 2014 by Ganesh Iyer to address his personal pain point- “how do I connect with a like-minded professional” to either grow the business or career. As a part of this journey he along with handful of data scientist and psychologist started exploring the ways of understanding the true personality or motivations of the users to make better recommendations. During the course of exploration of identifying the true personality what they realized is that they need to pay closer attention to the subconscious actions of the users that captures 90% of users’ personality and decision making technique. It took 3
years to build the base model with lot of experiments with live people training the Machine learning model, where it has built an ability to predict users’ core personality and motivational instinct without asking any questions. The insights, thus created, can be used to hire the right cultural fit talent (without asking a single question), team building, employee engagement, employee career growth, e-commerce buyers personalization, targeted marketing, customer market segmentation, warm sales lead generation and many more. Helping Right Employees Meet the Right Employer & ViceVersa In the Human Resource vertical, Dotin allows applicants to find the right job and team based on their cultural fit into an organization. This also helps recruiters hire the best cultural fit without asking a single question. This helps in the time to hire the right talent which is about 2 months reduction in finding the right talent and remove up to 80% subjectivity from the hiring process. It helps in enhancing the talent engagement, there by retention. Taking online shopping experience to the next level! In the e-commerce vertical, Dotin removes the clutter and present the products and offers that resonates with the users thereby enhancing the user satisfaction and loyalty to the business or the brand. The recommendations
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that they provide is going beyond the CRM data. i.e. what else the users may buy apart from their past purchase history, tagging personality to CRM data. This eventually leads to upselling and exponentially growing the business. Dotin is still a growing venture and so far has been honest, treating team members with respect, being transparent and has enabled an environment of ‘trust’ that is bringing the best of all to make a positive dent in this world. It is a ‘Personality DNA company’. Defining itself with a new category with a mission of capturing the true personality of the users so that business outcomes derived becomes a lot more tangible. Awards, Achievements, Recognitions Received · Selected as Top 25 Innovative HR solutions for 2018 by CIO Review Magazine. · Selected as Top Startup at 2018 Silicon Valley International Entrepreneur Forum (SVIEF) AI + Big Data Conference, California. · Selected for BRIIA.IO and TECHCODE Artificial Intelligence (AI) Accelerator Program. · Top 20 Promising Cognitive Solutions for 2017” along with IBM Watson by CIO Review magazine · “National Institute of Health (NIH)” providing grant as obese users were getting healthier using our platform. · “Top 3 Hottest Start-up” Collision 2017 · “Top 3 Hottest Fintech/Insurance Industry Start-up” Silicon Valley
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Financial Technology Executive Workshop 2017. · Selected for “CES2017 Eureka Startup Program” · Selected by Google to get ‘High-Touch’ Marketing support for Free. · Featured in various articles including VentureBeat, Engadget, KR36, and World News. Footsteps towards Future Dotin is pioneering in creating a new industry category – ‘The Personality DNA Company’, by taking personalization to the next level, making ‘Search’ obsolete. i.e. To present the content to the users as they are thinking without having them even search for it. This can only be achieved if you understand the true personality and motivations for the users! It is a team of passionate technologists from Silicon Valley who are dedicated towards understanding the art of decisions made by the subconscious mind to yield powerful business outcomes.
Ganesh Iyer Founder
‘‘
Capturing the true digital
personality ngerprint of every user to yield very powerful business
‘‘
outcomes
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ROBIN MEDIA:
Your Personal Concierge for Live Experiences
M
usic is not just an art, it’s a lifestyle. There is nothing more soulful than being able to appreciate and enjoy music. For any major event, acquiring tickets is a headache. There is nothing worse than when the tickets are either not available or sold out. The feelings that rush in start with anxiety and end in disappointing heartbreak when you inevitably miss being able to watch your heroes ‘live’. But one company has solutions to all these problems: Robin Media What makes Robin different? The answer lies in two words: Artificial Intelligence. AI may make half of today’s jobs outdated in the coming twenty years. With the innovations in technology brought by startups like Robin, there are limitless possibilities of AI. AI has been redefining and strengthening to combine and run human-based businesses in a new and improved ways. Robin Media: The Inside Story Founded in 2016, Robin Media is a personal concierge for live experiences. Robin aggregates and helps customers and businesses get tickets to shows of their choice through personal data points. The man behind this refreshing thought is CEO Adam McIsaac. This technology startup mines consumption and social data from
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customers to help them discover and access the best live events and experiences that are relevant to their needs, budget and preferences. Robin provides tickets for shows including, theatre, concerts, sporting events and any other live event. Unlike many other businesses, the hassles of acquiring tickets are minimal; here the tickets are just few clicks away. Tickets can even be acquired by just dropping a text to the ‘Robin’ team and can even makes tickets available before they even go on sale.
The team at Robin Media is excited about ‘Machine Learning’ and how it can be used to match consumers and suppliers in the live experience space. They also agree that personalization would be one of the key themes for all e-commerce companies. “We think personalization is going to be a key theme for all e-commerce moving forward” says Adam. “The application of machine learning ensures that a store and its products are tailored to each individual customer’s needs and desires. New customer, new store.” Winning Titles
Embracing new opportunities and breaks, Robin has also launched Robin Professional to help SMB and larger organizations to help their employees experience live experiences for corporate entertaining, gifting and employee rewards. This was launched as a result to their discovery of need gap for business and has launched with major success. Robin partners with businesses to procure amazing live experiences for a corporate offering.
Robin’s first milestone achievement was being a part of the Techstars Music program in Los Angeles soon after their launch – ahead of more than 1,000 applicants. Adam comments on this opportunity as “an incredible experience to be able to work with the leaders in the industry”. Robin has also successfully launched an experimental project with a national professional services firm to help all their employees access amazing live experiences for clients - and also they have been selected to be a part of the SXSW accelerator program in 2018.
Embracing Technology
In Store for Future
The advancements in technology have opened a new platform to all kinds of business in the market. Like many other organizations, Robin has welcomed and accepted this change.
In the coming years Robin sees itself as an essential part of everyone’s life – including businesses - and making sure that the end needs are pulled together. They are working
Standing Apart while Outshining its Competitors
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towards eliminating the crisis of people getting bored and providing them with an easy and simple answer of ‘what should they do tonight?’ while giving businesses a simple tool for corporate benefits and entertainment. However, their long-term goal is to be the ‘Netflix’ for live experiences where no one would run out of options. The team is currently aimed at making ‘Robin’, a household name.
Adam McIsaac CEO
‘‘
Our aim to
make Robin everyone's trusted sidekick for discovering and accessing
amazing live events and experiences
‘‘
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strengthen How to posture using your security
ABOUT THE AUTHOR Chris Morales is head of security analytics at Vectra, where he advises and designs cyberattack detection and response programs for large enterprise customers. With nearly two decades of information security Chris is a widely respected expert on cybersecurity issues and technologies and has researched, written and presented numerous information security architecture programs and processes.
Artificial Intelligence O
bstacles to stronger cybersecurity The three biggest obstacles to stronger cybersecurity are all about skills and resources: lack of skilled employees, followed by lack of budget and lack of security awareness among employees.
The skills gap was not created just by a lack of proficient security professionals. The exponential growth in connected devices means the amount of work required to monitor and analyze all of them has grown in parallel. My personal experience is that we have made it too difficult for some very smart people to enter our industry while asking some very talented people who are already in cybersecurity to take on a larger amount of busy work. Investment priorities To address evolving security needs in the coming year, most organizations plan to train and certify existing IT staff to become security experts. Most cybersecurity professionals started their careers in IT and
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then migrated toward cybersecurity over time, usually due to personal interest and self-taught ability. There is something to be said about real world training. However, we can’t rely on just career professionals; we also need new recruits in truly entry-level roles. We need our schools to start building the security analysts of tomorrow. What we have discovered about AI is that it not only reduces the workload for existing security staff, but it also reduces the barrier of entry to security. Most critical security skills Attacks frequently compromise organizations, and fast response is the only hope to reduce the impact. Performing incident response effectively is a complex undertaking requiring a high level of knowledge and a lot of work. Establishing clear procedures for prioritizing the handling of incidents is critical, as is implementing effective methods of collecting, analyzing, and reporting data. Without a well-trained and capable staff, incident detection and analysis will be conducted inefficiently, and costly mistakes will be made. Augmenting existing analysts and junior staff using AI to create repeatable process and the ability to manage large volumes of data at scale is the best way to combat this problem. The trick is to understand the correct way to apply machine learning and what problem are you trying to solve. The wrong tool can increase the time to accomplish a task, waste valuable resources, or worse. Leveraging the power of machine learning is no different.
move away from the purely human based decision-making process of what is an incident. Cognito prioritizes the highest risks Prioritizing the handling of the incident is perhaps the most critical decision point in the incident handling process. Handling should be prioritized based on the relevant factors. The outcome of the combination of multiple methods of data science is the ability to instantly extract the attacks that truly matter from the rest of the noise in the organization, real or not. Machine intelligence detects events, triages those events to a single host, and then prioritizes the ones that matter most for fast analysis. Improve incident response Containment is very important. A good containment strategy provides time for the security team to develop a remediation strategy. An essential part of containment is decision-making. Such decisions are much easier to make if there are predetermined strategies and procedures for containing the incident. You need well-defined playbooks and options for response based on the type of incident. By providing the right context about an attack right when it happens, AI provides the intelligence needed to make decisions about what the right containment strategy is. The best place to perform containment is within the existing infrastructure already in place and to drive intelligence into that infrastructure to create an intelligent incident response process.
Use attack complexity to your advantage. So how does all this data science really ensure we find attackers? It boils down visibility of the entire attack lifecycle, which becomes a big data problem well suited to data science. Attacks fundamentally all perform a lot of the same behaviors as there is a certain sequence of events they must follow to succeed.
Workload reduction on analysts When AI or machine learning is the foundation behind a product, the promises that the product makes should be specific and measurable. The power of these technologies is in the numbers.
By looking for all the behaviors that an attacker could perform across the entire attack lifecycle, we dramatically increase the probability of detecting attacks.
Man + machine delivers real world efficiency The results speak for themselves. Across every type of organization, there is a measurable trend with organizations that have implemented AI to automate tedious incident response tasks to augment the SOC manpower.
The more behaviors that are detected, the better the awareness of the attack. By combining behaviors, we also
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KONO.AI: Your Advanced Scheduling Partner
I
n today’s world people hardly have time to waste on anything. Everything is moving at a breakneck speed. Let it be life, business or technology, everyday there is something new to look forward to. In today’s world the only limitation placed are at our imaginations. Call humans lazy or smart but since our existence we have been looking for easier ways to do our menial tasks. The biggest advantage that came our way was the progresses in technology. Technologies have made lives much easier and faster. Artificial Intelligence (AI) is something on which we have been working on for decades. However, the recent developments have been productive. AI has invaded into the lives of humans in every way possible. Starting from transportation, cyber technology, invention of robots, solving climatic changes, enhanced elder care and to run the business. AI is now contributing their bit into everything. Researchers and scientists have commented on this situation by saying that even though they don’t know what the future has in store, it is evident that soon enough we would be interacting with AI as our everyday activity.
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In this fast pacing world how efficiently are we successful at planning a meeting? Above all much time is being wasted to coordinate, plan, schedule and reschedule. Let it be for a personal meeting or business meetings or any kind of gathering, we tend to plan it quickly and effortlessly. Practically none of us is able to manage and plan things without missing any crucial information to be mentioned or person to be invited. The chaos that follows is well-known. The good news is that Kono.ai; an artificial intelligence secretary service provider will now be the savior. Not Just Any Secretary Kono.ai is the most skilled assistant that would help in arranging official or personal gatherings. The procedure is painless, and all that needs to be done is to hire the ‘Kono.ai’ assistant and add the ‘Kono.ai’ mail id. This assistant will later select and share the Google calendar synced with your mail with guests. Once the time is conformed Kono would then circulate the calendar invite. The concerns regarding sharing your business or personal calendar with an outsider is not convincing at it sounds it to be. Contrarily, Kono is willing to work at
a rough time frame. Apparently, if the customer just sends a mail that says, “Let’s find some time early next week”. Kono would work with this uneven timeline and find a proper time to schedule the meetings. For any gathering to be successful it is important that the guest confirms their arrival and also that the time slot selected suits them too. In case of amendments or any suggestions regarding the time from the guests side is also taken care off. Kono accepts retorts from the invitees too. They have programmed themselves in such a manner that their operators (AI) understand human language. Or else, Kono has provided options where the guests can opt according to their preference. Success Story of Kono.ai Since the establishment of Kono.ai on Nov in 2014, they have come a long way. The brains behind this amusing thought are of YJ Min, Jaehoon Choi and Jung-hee Ryu. YJ currently serves as the CEO and Jaehoon currently is the CTO of this startup. Jaehoon is also the founder of his own startup named Opinion 8 which has been merged by Konolabs. Jung-hee was the former CSO & Founder of OlaWorks acquired by
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Intel for over $30mil. At present he is also the Founder and CEO of FuturePlay, a tech company builder based out in Korea. At Konolabs they use their big data analysis machine learning tech for the world’s professionals to focus on their major job and not the dull tasks. They found that the human employees and their customers are having huge gaps to schedule meetings and calls which they have taken upon themselves to help in scheduling. One of the most contributing factors behind their success is the agile and diversified research and development team. The geeks at Kono.ai are well versed with machine learning, mobile/web product development and data analysis. Climbing the ladder of success, Kono.ai was selected as one of the acceleration teams of TAG Pass Program in Singapore. Among the other achievements includes the winning of first prize at the Tech Crunch Pitch Off event in Seoul in Korea. They were mentioned in the Venture Beat as one of the most promising startups of 500 Startups Batch 13. Outshining among the competitors Kono.ai argues that an average worker spends 16.7 hours per month in order to schedule appointments or other meetings. Kono.ai has taken the responsibility upon them to make this task much simpler and in this manner to manage time. They also beg to
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YJ Min Co-founder & CEO
differ as they promise to provide better user experience on multiple platforms. They believe that the recent developments in technology like Machine learning is powerful as it would help in providing better performance and accuracy in understanding natural language. They claim that security and scalability are important matters for AI and ML based services. But Kono.ai have thought it meticulously and planned to tackle one problem at a time. Future Promises The team at Kono.ai aims to solve other problems and provide other services apart from scheduling the meetings but however, they would stick to the basic goal of providing innovative services to the world’s professionals based on their patented technology.
‘‘
Kono.ai is designed in a way that it narrows the gap between employees and customers by providing the intelligent scheduling agents
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Impacts of has Started
in
CRM Industry C
loud computing has changed the face of customer management by providing every SMB’s an opportunity to unify data and communication platform without investing heavily on ‘on-premise’ IT infrastructure and staff. Now it’s the turn of Artificial Intelligence (AI). Those (companies) who adapt AI will remain in the race and those who won’t simply lag behind and eventually might lose in the longer run. Facets those are Attracting Enterprises towards it AI along with PA (Predictive Analysis) have potential to make all aspects of CRM better, from sentiment and intent analysis to product recommendation, upselling and lead scoring. Moreover, the ability of AI powered tools to scale the efforts of sales team by gleaning useful patterns of data, finding successful courses of action and taking care of the bulk of the work for addressing customers’ needs and grievances plays a crucial role in managing CRM operations in an efficient way. The efficient usage of AI and PA teach organizations to do much better job in terms of targeting potential customers and decision makers by calculating which personal and professional attributes holds the maximum
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INDUSTRY INSIDER
value. The potential of creating a system of continuous improvement for sales and marketing teams is somewhat attracting organization towards these technology, since ‘sales is the fuel which keeps the wheels of an organization running.’ Landmark Solutions that are showing Future Direction Salesforce, Oracle, SAP, Microsoft and Adobe are some of the Industry giants those are investing heavily on AI and even successfully developed many landmark products and service based on AI that have the potential to change the landscape of CRM industry forever. By looking deeper into those products and services one can predict: what kind of road CRM industry is going to traverse in coming times? Salesforce, the leader of CRM industry has last year developed a ground-breaking product Einstein, an AI assistant which has the ability of continuously process colossal amount of data which Salesforce collect from sales, e-commerce activity, emails, social media streams and others. This powerful assistant help sales representative to focus on the most promising leads based on engagement data analysis
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and gives advice on when to trigger email campaigns according to customer response history. SAP, another prominent player of tech space has joins the AI race and added new AI features to its S/4HANA cloud ERP. Its tacked-on features provide automated insights into the business data which the system collects. This includes monitoring accounts, preparing chart of top vendors for an organization based on their past performance, pricing and ability to deliver. Oracle also shown a great interest in AI and announced a distinguished project known as Adaptive Intelligence. This project will test feasibility of adding series of applications to its cloud suite. These apps have the potential to combine third-party data with real-time analytics to provide optimize decisions and recommendations. For example, AI enable app’s to merges data from the company cloud and the Oracle Data Cloud to extract meaningful insights related to individual customer behaviors and provide personalized offers. Amelia is a bot that assist customers in resolving their queries using natural language processing. It understands customer’s queries and provides them desired answer based on data gathered from previous interactions and the knowledgebase. Generally, this bot is able to solve 55% of incidents and when it does not have the answers or senses a frustration or hostility, it passes the baton to a human operator. Economic Impact of AI in CRM Leading market intelligence firm, IDC (International Data Corporation) has forecasted that AI enabled CRM activities could increase global business revenues by $1.1 trillion and create eight lakh new jobs apart from two million additional indirect and induced jobs. The global market for AI powered CRM is estimated to grow from existing $7.9 billion to $46.3 billion by 2021. This huge revenue boost will lead to increase productivity and lower expenses due to automation. According to report, the year 2018 will prove to be a landmark year for AI adoption as more than 40% companies are ready to adopt AI in upcoming future (may be within next two year). IDC further estimated that 75% of enterprises will include AI or machine learning functionalities in at least one of their business application. 46% of the AI adopters report that more than 50% of their CRM operations get executed through cloud. Therefore, cloud vendors are expected to lead the race of delivering AI solution to customers. With all these great advancements, better functionalities and positive economic projections, it would be fair to conclude that AI and PA hold great importance in deciding the future course of action for CRM industry. But only time will tell how deeply these technologies will continue to disrupt not just the CRM sector but other businesses as whole. It will be interesting to watch how this seismic shift toward an intelligent and proactive approach will eventually plays out. .
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TM
FogHorn Systems : Delivering Business Outcomes for Industrial IoT
R
ecent research studies state the Internet of Things market is expected to reach $1.6 trillion in industrial industries, $1.2 trillion in commercial industries, and $1 trillion in consumer industries within the next couple of years. Although this suggests a positive outlook for the market, companies are struggling to generate intelligence from operational data collected by these connected machines. Edge computing solves this by bringing big data, streaming analytics and machine learning as close as possible to the devices producing the data. Companies see incredible improvements once they translate their data into actionable insights using edge computing, machine learning (ML) and artificial intelligence (AI). These technologies will help process mass quantities of data and deliver insights to help companies apply predictive maintenance, improve yield and quality, enhance worker safety, and more. New services from major cloud and software providers, including AWS, Microsoft and IBM, rely on sending data to the cloud for processing. However, FogHorn SystemsTM offers a transformational compliment to this cloud approach, lowering costs, reducing latency and optimizing industrial operations for the real-time
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processes in manufacturing, energy, oil and gas, and more. Because thousands of sensors are constantly sending data at the rate of every 20 or 30 milliseconds, much of this information is useless within minutes, or even seconds. FogHorn enables businesses to take the information that matters – the anomalies or patterns unearthed through analytics applied directly at the edge – and translate it into operational intelligence. Leader in Edge Intelligence Software for Industrial IoT FogHorn’s industrial IoT software stack provides an efficient and highly scalable end-to-end solution that blends the benefits of real-time, on-site processing of sensor data from industrial machines with cloud-based management, analysis and machine learning. David C. King, CEO of FogHorn Systems continues to design and develop innovative ideas and new capabilities in this fast-changing market. Prior to FogHorn, King led AirTight Networks, a technology leader in secure cloud-managed Wi-Fi, through four successful up rounds of VC funding. Additionally, he served as President and CEO of Proxim, a pioneer in WLANs and the first publicly-traded Wi-Fi company. King supports FogHorn’s global customers and partners as they roll out
a broad range of powerful edge intelligence applications for industrial and commercial systems. To inspire creativity and innovation in the workspace, he guides the organization to hire people with great passion and curiosity about not just technology, but also other hobbies and interests. He looks for workers with a successful track record that helped build market share and move innovative new products from early adoption to mass market. FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning™ software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s principal advantage stems from its unique, high-speed, tiny footprint compute and machine learning engine. The company designed the CEP™ (complex event processing) engine from scratch, and it enables FogHorn to run the complete IoT edge analytics software stack next to machine data sources, rather than shrinking down existing “big data” engines developed
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for resource-unlimited cloud environments.
a leader in the IoT and manufacturing space.
Building an Edge Intelligence Platform FogHorn’s platform packs a lot of power into an exceptionally small footprint. Its Lightning platform runs seamlessly on the industry’s broadest spectrum of industrial devices and processors and truly embraces the paradigm shift to small-compute and local-processing on constrained devices. By applying intelligence at the edge where IoT devices operate, FogHorn’s Lightning platform significantly lowers cloud-related bandwidth costs by refocusing the role of the cloud to very specific functions such as application portability and provisioning orchestration, machine learning and advanced cloud/edge analytics. Connected cars and autonomous vehicles, for example, will be able to process data from instruments and sensors locally, in-car, in real-time, which will enable critical safety developments, such as accident avoidance, emergency braking, as well as mission-critical systems monitoring like airbag failure, and more.
In addition, FogHorn announced $30 million in Series B funding in October 2017 to support faster growth. Intel Capital and Saudi Aramco Energy Ventures led the round, with new investor Honeywell Ventures and all previous investors participating, including March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and The Hive.
Awards, Achievements and Recognitions Among its most recent accolades, FogHorn was named to the: CRN IoT 50, CB Insights AI 100, IoT Breakthrough IoT Startup of the Year, Tech Trailblazer Finalist, and as a CIO Most Promising AI Solutions Provider. These awards come alongside industry recognition from leading analyst firms, including Gartner, who named the company in their “Cool Vendors in IoT Edge Computing, 2017” report. Frost & Sullivan also recognized FogHorn as
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Residing Future with IIoT FogHorn’s solutions are ideally suited for OEMs, systems integrators and end customers in markets such as manufacturing, power and water, oil and gas, mining, transportation, healthcare and CPG, as well as smart grid, smart city and smart car applications. FogHorn has pioneered a global shift to edge intelligence, comprised of real-time analytics and machine learning deployed on virtually any device in industrial and commercial operations. The company recognizes the transformational improvement in technology and delivers across a wide range of industries. FogHorn believes that it will result in its Lightning software residing in a large percentage of the projected 50 billion connected devices by the year 2020.
David C. King CEO of FogHorn Systems
‘‘
Intelligent edge software platform enabling unprecedented levels of automation, operational efciency, and cost savings
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ARTIFICIAL INTELLIGENCE NARROW THE BRIDGE BETWEEN
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EDITOR’S PICK
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he world has witnessed sweeping improvements in technology. With smart phones and internet connections the whole world is consolidated in one’s pocket, which is a very fascinating sight. What is more amazing is that all of this happened so fast. As days pass everyone is more spellbound with technologies it is engulfing them in day to day life. Looking at the present scenario no one can be sure about what the future has in store but we might be witnessing an age where robots would be living amongst us. Looking a few years back before internet came into our lives, there were uncertainties regarding future, while at present machines are living amidst us. The smart brains have infused technology in every bit of our lives and soon people would be driving cars without drivers, machines that would do grocery shopping and will be a helping hand to all laborious works. All of these recent developments or gradual changes are because of the improvements in Artificial Intelligence. In a milder way Artificial Intelligence (AI) can be defined as the computer programs or models designed to perform a task that usually requires human intelligence.
changes accordingly. AI is playing a major role with or without your knowledge. Have you ever wondered how ‘Siri’ actually helps with the directions when you command? How the spam filters work in e-mail.? At times the implication of AI in our lives is obvious while at certain times it goes unnoticed. But however, it is a fact that AI is everywhere and it is making a huge difference in everyone’s lives. Soon would come a time when humans would have a robot or a computer program helping humans at every minor and major task. So the near future would witness improvements in these areas and many more to come. Would Humans get in way of AI? What effect will AI have on human experience? Humans are both indolent and smart to think of ways to get a job done in an easier way and hence have been working on this since ages. The idea of robots was always a topic of excitement and many have been dreaming and working to make robots a reality. However, as time has passed it is evident that many of the brightest minds have taken AI to great heights. When it comes to AI, it has been proved that there is no limitation and has now emerged as a greater mission with more and more people working on it.
A glance at what is to come. The recent innovations make everyone wonder what all other changes are yet to be witnessed in coming years. AI has been swaying our lives in many ways. Researchers have claimed that scientists were able invent some breakthrough theories and machines with the help of ‘machine learning’. Smart cars are now a well-known concept. These self-driving cars are the beginning of a decagon which would change the way we move. Imagine a time when people would be reading newspapers on their way to office while the car is driving itself. This is both intriguing and unbelievable in certain ways. Automated news is yet another enthralling invention that is now getting popular. Apparently, artificial intelligence programs can now write news stories. The fact that such a basic task can also get influenced by AI is intimidating. Online customer support has been in practice since few years now. Many of the websites are now using this skill to communicate with their customers directly.
Despite what technology has been able to do, is the world ready to accept these changes in a wide scale? The point to be noted here is that as humans learn with experiences, one does not know what success is unless he has tasted failure. This alone works as motivation to strive and work hard to achieve success. Many times we need to touch a hot stuff to know and feel that it is hot and shouldn’t be touched. Humans are not programmed they live through the experience to know it all. The rights and wrongs are taught to humans and not programmed wherein the outside influences are also a major factor of knowledge. Nevertheless AI is programmed which means it could understand better than what individuals are capable off. It wouldn’t be a surprise to know that there might be robots in near future programmed with even human emotions. This raises the question whether humans would come in their way of making this world much easier to live in. Alike many sci-fi movies would the people be the bystanders of a world solely lead by machines and robots?
Apps that recommend music and movies, smart home devices that studies the resident’s behaviors and suggest
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TANJO: Improving Businesses, Industries, and People’s Lives by Bringing Machine Learning and Automation to the World
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anjo creates platforms for, and interfaces to, the increasingly intelligent network of humans and machines cooperating with each other. Their powerful machine learning brain is the optimal combination of human and machine learning intelligence to help people achieve the right balance between humans and automation to optimize outcomes. The central thesis of Tanjo is that successful individuals, companies, and even governments in the 21st century, will be those who achieve the right balance between human and machine effort and intelligence to optimize outcomes. Those who get it right will prosper and prevail. Those who fail to achieve this balance or even lag behind will no longer be competitive and will soon be considered handicapped. Many firms today are aware of machine learning and are working to harness Big Data. And Tanjo believes that there is a big leap from Big Data to Information, and an even bigger leap from Information to Intelligence (Information that has been computed and is presented to humans to make decisions). The company’s machine learning brain helps their clients to make the full leap to real-time, actionable intelligence. “The central problem of the century
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is how to achieve the right balance between humans and automation to optimize outcomes.” The Spirited Personas of Tanjo Founders Richard Boyd, CEO, and David Smith, Chairman, have worked together for 27 years with two very successful exits in computer gaming and simulation. They spent almost six years developing technologies at aerospace giant Lockheed Martin where they founded an innovation group called Virtual World Labs, focused on the emerging fields of VR, AR and AI. The team’s deep background building large constructive simulation models of human populations for the DOD, paired with their entertainment, human/machine interface and data science expertise make for a unique combination of capabilities. While at Lockheed, Boyd and Smith were asked to visit Microsoft Research labs in 2009 where inventor Alex Kipman was leading the team to develop the Microsoft Kinect system for the xBox. Boyd and Smith came away impressed with the machine learning methods employed to teach the Kinect sensor system how to recognize people and objects in living rooms. In 2013, they left Lockheed to build their own machine learning brain and Tanjo was born.
The Exceptional Offerings by Tanjo Tanjo have three primary product offerings. The first is their powerful machine learning brain that the company has trained over the last four years. Being unique in the industry, Tanjo provides the entire brain and API to any organization to deploy on their own network, inside their firewall, and under their full control. The brain then learns from the organization and serves as an enduring asset representing all of the knowledge of that organization. A brain inside a large accounting or architecture firm is trained on that practice before deployment, but soon learns how information workers within that firm practice their profession; and becomes an enduring representation of the workflow and organizational knowledge of the company. Tanjo is also successful in providing this to research organizations and institutions of higher education. “Machine learning creates a new opportunity to amplify human intelligence and automate processes.” Said Tim Wilson, Executive Director for the Bellwether College Consortium , “We are partnering with Tanjo to have our most innovative schools harness machine learning to both preserve innovative education best practices, and help develop new methods to assist students in their
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educational journeys and prepare them for an increasingly automated world.” ContractBot: One sub application of the Tanjo brain was built for a major accounting firm in 2017. In the United States new revenue recognition rules were brought into effect from December 1, 2017. Within a four month time frame Tanjo taught the Tanjo brain the new revenue recognition rules and then trained on over 2.5 million sales contracts. Now, the firm can simply feed a company’s contracts to the Tanjo brain and it will aid the human auditor in highlighting any language in those contracts where the rules apply. This is a great example of human/ machine cooperation, achieving efficiencies of over 12x. In 2016, Tanjo set aside a Tanjo brain and had it read every single legal opinion in United States history across all 417 federal jurisdictions since 1797. The project took the system less than two weeks to create a correlated map of almost four million (somewhat lengthy) legal opinions. Tanjo’s third offering uses machine learning to ingest data exhaust from human activity to build deep models of human behavior they call Tanjo Animated Personas, or “TAPs”. These TAPs are powerful tools for creating deep customer empathy, and have also been used within organizations to build stronger internal teams (human resources application) or for higher education to improve recruiting methods and even teacher empathy for more personalized learning paths for students.
Deeper customer understanding with TAP Tanjo learned that consumer marketing companies were spending a great deal of money on customer segmentation modeling. These models were static moments in time and derived from surveys and focus groups. Tanjo contacted some of the top academic minds in human behavior choice modeling and created the TAP platform to give companies a real-time, data-derived simulation method for improving customer empathy and deeper customer conversations.
Alex Kipman, Richard Boyd, Jaron Lanier at Microsoft Research Labs 2009
Creating Dynamic Simulated Customer Models The Tanjo Animated Personas (TAP) platform allows marketers to have a new deep level of interaction with customer segments for their products and services. Using machine learning, TAP creates dynamic simulated customer models from archetypal customer segmentation research and brings that data to life in the form of synthetic customer personas. Marketers can now, finally, watch as these synthetic customer models view and digest online content. Present a TAP model with a product message and see it respond to (and score) that messaging from the viewpoint of that customer segment. TAP brings deep customer conversations to life.
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www.tanjo.net
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The central problem of the 21st century is determining how to achieve the right balance between humans and automation to optimize outcomes.
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