Artificial Intelligence for DIGITAL TRANSFORMATION Your Company Name
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CONTENT
Evolution of Artificial Intelligence (AI)
How Companies are using Artificial Intelligence
Building AI Capabilities
How can AI help organization meet digital transformation goals?
Six stages of Digital Transformation
AI best practices for Digital Transformation
Challenges of Artificial Intelligence 2
Evolution of Artificial Intelligence (AI) 2007
2008
2009
2010
Programmable mechanical calculating machine
Turing test
Artificial Intelligence
Alan Turing
The first conference on AI by John McCartny, Marvin Minsky
General Problem Solver Demonstrated by Newell
Ada
2015
2014
2013
2012
Commercial expert system
Knowledge-based medical diagnostics program
MacHack Chess-playing program by Greenblatt at MIT
ELIZA & The First Expert System
Jack Myers Harry Pople
2011
Industrial robot Unimations working on GE
Joseph Weisenbaum, E. Geigwnbaum
2016
2017
2018
2019
Polly: Behaviorbased Robotics
Recommendation Technology
Machine Learning, Deep Learning
Ian Horswill
TiVo Suggestions
Mobile Recommendation Apps: Siri, Now, Cortana Apple, Google, Microsoft
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How Companies are using Artificial Intelligence Using runbook automation
16%
Gauging internal compliance in using approved technology vendors
34%
Reducing production management work by automating it
34%
Resolving user’s technology problems
41%
Detecting and deterring security intrusions
44%
Tailoring promotions (online or offline)
15%
Monitoring social media comments to determine overall brand affinity and issues
16%
Improving media buying
16%
Anticipating future customer purchases and presenting offers accordingly
19%
Financial trading (e.g., high-frequency trading enabled by AI)
17%
Automating call distribution
15%
Information Technology
Marketing
Finance & Accounting
Customer Service
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Building AI Capabilities
Pattern recognition
Prediction
Cognitive search
Natural language interaction
Natural language generation
Understand trends for customer financial transactions and spot deviations to identify potentially fraudulent behavior
Capture short- and long-term variability in data to improve forecasting
Offer personalized recommendations to shoppers by matching their interests with other customers who purchased similar items.
Tell a software application to generate a report on sales revenue predictions without having to run the reports yourself
Get summaries of everything that has been analyzed from a large document collection
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How can AI help organization meet digital transformation goals? Accounts payable and invoice processing Digital workforce › Can help by automating repetitive tasks or processes with RPA › RPA allows knowledge workers to focus on addressing exceptions or solving problems › Add text here
› Automating invoices and applying RPA (Robotic Process Automation) offers more intelligence to accounts payable. › AI can also help staff make better decisions with the use of graphical dashboards › Add text here
Compliance and risk Onboarding › Covers onboarding of new employees and customers › Once the customer is enrolled, using machine-learning technology can track and learn from this customer’s behavior to let a company offer tailored services › Add text here
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› Organizations should deploy AI in applications where a system can learn to understand, find, extract, and provide insights from unstructured documents › Add text here
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Six stages of Digital Transformation
Business as usual
Present & Active
Formalized
Strategic
Converged
Innovative & Adaptive
Firms operate with a familiar perspective of customers, metrics, processes & technology considering that this the solution to digital relevance
Organizations aim to improve and amplify specific touchpoints & processes
Company experiments becomes intentional while executing at more promising & capable levels
Individuals work in collaboration realizing the strength of cooperative work as their research, work & shared insights contribute to new strategic roadmaps for digital transformation
Dedicated digital transformation team is setup to guide strategy & operations based on business & customer centric goals
Digital transformation becomes a way of business as the company realizes that change is constant and systems are established to identify & act upon latest market trends
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AI best practices for Digital Transformation Maintain oversight Build trust in AI › Take a rigorous approach to data & AI Training methodology › AI is going to make businesses more productive by automating repetitive operations, releasing resources to focus on higher-value tasks
› AI needs Human Governance › AI as a tool and can be easily misused if not fully understood › Human oversight will always be an essential part of ensuring that an AI is delivering correct and trustworthy results
Maintain an unwavering focus on user experience › Need to keep a balance between control and autonomy when applying AI technology › For efficient collaboration between humans and machines, the appropriate level of automation must be carefully defined
Progress via small steps, moving rapidly and with purpose › Enterprise-scale momentum behind AI builds trust, skills, increases adoption, value delivery and the sheer buzz around AI in the organization › Accelerate this by exploring multiple AI projects in parallel, in an agile delivery framework that can support rapid reallocation of effort and mix of skills
Embed AI professionals within your business units and customer teams › The most effective AI implementation teams are multi-disciplinary, with representatives from IT, operations and business teams complemented by AI and data analytics experts › AI specialists also understand the business domain into which any solution is to be deployed
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Challenges of Artificial Intelligence
Cost Involves not only initial software costs but also but the on-going costs for training employees and continued training of the AI system when business processes change
Technology Options With multiple technology options, it is hard to narrow down the potential choices and select the best implementation path
Inability to predict ROI Inability to precisely predict ROI especially at the start of the project will be a source of friction
Culture Clash Any changes will be viewed with suspicion by the organization. Becomes difficult to make the organization adapt to such changes
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Artificial Intelligence for Digital Transformation Icons Slide
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About us Target Audiences
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Our team
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