Develop Your AI Strategy with These Trends in Mind
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Agenda • Key Concepts of AI • Trends: What organizations are doing with AI • How AI fits into organizations’ IT Strategies • How will AI interconnect applications in the organizational ecosystems
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What is Artificial Intelligence? • What is Artificial Intelligence (AI)? • • • •
Using computers to solve problems Or make automated decisions For tasks that, when done by humans, Typically require intelligence
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Limits of Artificial Intelligence ✘ • Strong Artifical Intelligence (AGI)
• Computers thinking at a level that meets or surpasses people • Computers engaging in abstract reasoning & thinking • This is NOT what we have today • There is no evidence that we are even close to Strong AI
✔ • Weak Pattern-Based Artificial Intelligence • Computers solve problems by detecting useful patterns • Pattern-based AI is an Extremely powerful tool • Has been used to automate many processes today • Driving, language translation, cancer diagnosis, fraud detection
• This is the dominant mode of AI today https://www.netcomlearning.com/webinars/?advid=1315
Major AI Approaches Two Major AI Techniques • Logic and Rules-Based Approach (Still Relevant)
• Machine Learning (Pattern-Based Approach)
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Deep Learning
Types of AI
Predictive Analytics
Machine Learning
Translation Classification, Clustering Information Extraction Speech to Text Text to Speech
Interference Engine
Speech
Expert Systems
Knowledgebase Reduction
Artificial Intelligence (AI)
Planning, Scheduling & Optimization
Classical Probabilistic, Temporal
Natural Language Processing (NLP)
Reactive Machines Limited Memory Theory of Mind, Self-aware
Robotics Image Recognition Machine Vision
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Vision
Logic and Rules-Based AI • Logic and Rules-Based Approach • • • •
Representing processes or systems using logical rules Top-down rules are created for computer Computers reason about those rules Can be used to automate processes
• Expert Systems • Turbotax • Personal income tax laws • Represented as logical computer rules • Software computes tax liability https://www.netcomlearning.com/webinars/?advid=1315
Machine Learning (Pattern based) • Machine Learning (ML) • Algorithms find patterns in data and infer rules on their own • Learn from data and improve over time
• These patterns can be used for automation or prediction • ML is the dominant mode of AI today
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Machine Learning Uses
Self-Driving Vehicles
Automated recommendations
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Computer Translation
Machine Learning Main Points Learning
Pattern Detection
Data
Self-Programming https://www.netcomlearning.com/webinars/?advid=1315
Example: Email Spam Filter Spam or Wanted Email? System detects patterns in Email About
Earn Cash
likely markers of spam Bayesian Inference Detected Pattern Emails with “Earn Cash� More likely to be spam email
Earn Cash detected in 10% of Spam emails 0% of wanted emails
Can use such detected patterns to make automated decisions about future emails
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Intelligent Results Without Intelligence For some (not all) complex tasks Requiring intelligence
Can get “intelligent� automated results without intelligence
By finding suitable Proxies or Patterns https://www.netcomlearning.com/webinars/?advid=1315
Proxies for Intelligent Results Without Intelligence Statistical Machine Translation People use advanced cognitive skills to translate
Google finds statistical correlations by analyzing previously translated documents
Produces automated translations using statistical likelihood as a “proxy� for underlying meaning https://www.netcomlearning.com/webinars/?advid=1315
Hybrid Systems • Many successful AI systems are hybrids of
• Machine learning & Rules-Based Hybrids • e.g. Self-driving cars employ both approaches
• Human intelligence + AI Hybrids • • • •
Also, many successful AI systems work best when They work with human intelligence AI systems supply information for humans Humans make decisions from information https://www.netcomlearning.com/webinars/?advid=1315
Technology Enhancing (Not Replacing) Humans Humans Alone
Humans
+ Computers
> Computers Alone
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Limits on Artificial Intelligence • Artificial Intelligence Accomplishments • Automate many things that couldn’t do before
• Limits • • • • • •
Many things still beyond the realm of AI No thinking computers No Abstract Reasoning Often AI systems Have Accuracy Limits Many things difficult to capture in data Sometimes Hard to interpret Systems https://www.netcomlearning.com/webinars/?advid=1315
Organizations are using AI to Free human ingenuity to focus on strategy Business Capabilities, Processes, etc.
• • • • • • •
Better able to manage repeatable process Improve workflow standardization Reduce multiple systems reliance Frictionless “Straight Through” Process Reduce errors and operating cost Increase risk management Enhance customer experience and engagement
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Intelligent AI & Robots
CRM, ERP, BPM, Transactiona l Systems
Workforce, Team Members, Human Processing
Representative Roles Created by AI
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Using AI to target how organizations work. Organization
Process & Methods
Partners & Alliances
Technology
Target Operating Model
Competency & Performance
KPIs
People & Culture
Governance & Compliance
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Maximizing Human Potential (Smart Technologies) Neural Computation
Statistics ❖ ❖
❖
Automated Process Management Machine Learning Robotic Process Automation o o o
o
Data (Information) Signals and Triggers (Trends) Human (Behavior) Probability (Outcome Likelihoods)
Pattern Recognition
AML & Automated Process Management
Deep Learning
Data Mining Datasets Knowledge Discovery
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Machine Learning
Artificial Intelligence
Application Domains
Computer Science
Spiritual Data
Computability Decentralised Information Systems Semantic Web Process CalĐulus …
Psychology Mathematics Game Theory Networks Statistics Coŵpetitive Theory …
Social Attitudes Cognitive Properties Information Processing Methods …
Biology
Media
Artificial Intelligence Business Process Automation Machine Learning Bayesian Methods Data Repositories Deep LearŶiŶg …
Fragmented Discourse Moral Issues & Panics Mobile Opinion Formers Sŵart Groups …
Economics
Socio-Cultural
Evolutionary dynamics Systems biology PlastiĐity …
Values Ethics Lifestyles & Trends Demographics Corporate Attitudes …
Ecology Structure of Ecosystems Productivity Populations Dynamics Environmental Controls Biosphere …
Technology Sociology
Political Data
Sociological Data
Social Attitudes Group Dynamics Theory Social Networks Pluŵe TraĐiŶg …
Protocols Architectures Structures & Security Resilience Usaďility …
Industrial Data
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Market Theory Micro & Macros Capital Types Market Types …
Cultural Data
Legal Intellectual Property Regulations Public Engagement Corporate Social RespoŶsiďility …
Financial Data
How has AI been used in Business â?–
Over the years, AI research has enabled many technological advances, including: virtual agents and chatbots o suggestive web searches o targeted advertising o pattern recognition o predictive analytics o voice and speech recognition o face recognition o machine translation o autonomous driving o automatic scheduling o
Many of these are now commonplace and provide solutions to a great number of business challenges and complex, realworld problems
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Types of Impact â?–
Automated/ Robotic process o o o
Automated assistants Automated process management Automated assistants
â?–
Machine learning o o o
o o o o
o o o o
Search - indexing and feedback Personalization and recommendations Predictions and analytics Individual journal Research and service options Learning systems Machine learning TOMs Speech, text, language processing Value and risk profiling Probability modeling Customer DNA and data integration
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Where can AI be applied ❖
❖ ❖ ❖ ❖
❖ ❖ ❖ ❖
Strategy and Organization Brand Management Finance Office Human Capital Business and Competitor Intelligence Data and Reporting Governance Risk Management Business Process and Change
❖ Operational
Support ❖ Business Support ❖ Sales and Marketing ❖ Manufacturing and Delivery ❖ Legal ❖ Skills and Competency ❖ Business Continuity ❖ Consolidation, Sourcing, Vendor Optimization
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Interconnecting Applications â?–
You can use AI technologies to: o o o o o o
o o o o o
Improve customer services and experience Automate workloads, improve workflow Optimize logistics and repeatable process Increase output and efficiency Prevent outages Predict performance Predict behavior Manage and analyze data Improve your marketing and advertising Better decision making Reduce risk and fraud
â?–
Depending on the type of AI, smart programs can perform: o o
Specific individual tasks, such as medical diagnosis, electronic trading, robot control, etc. Complex, cognitive tasks based on their understanding of how certain things (e.g. a language or a behavior) work.
Artificial intelligence (AI) is steadily passing into everyday business use, solving both business problems and creating opportunities
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Recorded Webinar Video To watch the recorded webinar video for live demos, please access the link: https://bit.ly/2IwW7B4
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About NetCom Learning
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THANK YOU !!!
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