Artificial Intelligence Training Courses in Abu Dhabi

 

Mr. David is a globally renowned Tech consultant, trainer, author and keynote speaker. David is frequent Keynote Speaker of premier international Tech events covering emerginc topics such as: Roboadvisors, AI Personal Assistants, Big Data, RegTech, Microtargeting as well as Machine Learning.

David holds a number of key international positions: He is Member of the Panel of Judges UK National Technology Awards as well as Founding Member of the World FinTech Association. He is co-author of ‘The FINTECH Book’, published by Wiley and Sons in 2016, quickly becoming a global category best-seller as well as co-author of ‘The WealthTech Book’ covering the emerging topic of roboadvisors to be published by Wiley and Sons in June, 2018. David is startup mentor of SuperCharger Alliance in Hong Kong and he serves on the Advisory Board of multiple Tech companies in the United Kingdom.

David spends significant time in London as well as in Milan, but when you contact him, chances are he is on a trip to a third destination, delivering training, speeches or consulting services.

An Introduction to Artificial Intelligence Strategic AI Management

An Introduction to Artificial Intelligence

1 Day Training

Definition and History

  • Igniting Forces: ICT, GPT – Information Communication Technology, General Purpose Technology, Metcalf’s & Moore’s Law
  • Definition and History of AI: The old vs the new definition of AI, Leibniz, Turing, Licklider, ‘The AI Effect’, ‘AI Summer vs AI Winter’
  • Related Concepts: Machine learning, Deep learning, Neural networks, Big Data, Robotics, Singularity, Superintelligence, Internet of Things, Weak vs Strong AI, Symbolic vs Subsymbolic AI

Leading AI Applications

  • Self-Driving Cars: Pertotyping by Google, Ownership, Insurance
  • Healthcare: Diagnosis, Research, Physical Assistance
  • Financial Services: Chatbots, Credit scoring, Loyalty through informal networks, Fraud detection, Back Office AI, Rob advisors
  • Agnostic: Amazon Alexa, Apple Siri, IBM Watson, MS Oxford
  • Games: Chess, Go, Shogi, Poker, Bridge, Blackjack
  • Marketing & Politics: Data mining, Microtargeting, Personalization
  • Case Studies: Narrative Science news articles, Boeing autopilot
In just 4 hours, Google's AI recently mastered all the chess knowledge in history. The pace of innovation is unprecedented. The key question is ‘how well we can understand it, and keep up with its exponential pace’.We will define AI and explain the difference between the traditional analogical concept of machine intelligence as opposed to the new unique concept of complementary parallel intelligences.
 
We will take a look at leading applications of AI across industries, discuss risks, regulations as well as rewards. As an exciting and intense Group Exercise, we will simulate the ‘Musk-Zuckerberg AI debate’.This training program provides an introduction of one of the key technologies of our age: Artificial Intelligence and places it into the deep historic context of such key transformative stages in the life of humanity as writing, printing, steam engine, electricity and more.
 
The course defines organizational tactics as well as strategies to create the ideal innovative environment across industries to create, adopt and enhance AI.

Strategic AI Management

1 Day Training

1. Definition and History

  • Igniting Forces: ICT, GPT – Information Communication Technology, General Purpose Technology, Metcalf’s & Moore’s Law
  • Related Concepts: Machine learning, Deep learning, Neural networks, Big Data, Robotics, Singularity, Superintelligence, Internet of Things, Weak vs Strong AI, Symbolic vs Subsymbolic AI
  • How Corporations React? Use Cases vs Strategies, IT vs AI, ROI of AI, KPIs, Cultural Challenges, Skill Challenges, Speed of Change

2. Managing AI: Turning Challenges into Opportunities

  • The Data Challenge: Data Drives AI, Data Science, Big Data, IoT, Data as an Asset, APIs (Application Programming Interfaces)
  • Predictive AI: New Data Sources, New Competitors, Why We Buy
  • Managing Machine Learning: Optimization, Networks, Regression, Speech, Cluster, Video, Text, Image, Recommend, Predict, Classify
  • Preparing the Workforce: Hybrid Models, Machines and Humans working together, best practices from Budweiser to Commerzbank
  • Mistakes to Avoid: AI vs Legacy IT, Efficiency vs Disruption, The Efficiency Mirage, Lack of Ecosystems, Digital Convergence
  • Case Study: Stitch Fix: Your Online Personal Stylist from SV

3. The Big Picture: Fundamental Trends in AI to Follow

  • New Industries Born: Climate, DNA, Platform Economy, P2P
  • Strategy by Machines: Machines that Design Strategy
  • Expectations Management: AI Investment, The Red Queen Effect, Ambitions, Training, Make vs Buy, AI Leaders, 6 HR Effects by BCG
  • Digital Confidence: Tech Skills, Cross Industry Skills, Serving and Employing Millennials, The Loyalty Conundrum, Machines as Colleagues, Administration vs Judgement

4. Innovation Tactics and Strategies, Next Steps, Summary

  • Key Tactics: Venture Capital Funds, Accelerators, Incubators, Labs, IBM AI M&A, Deloitte and Kira Systems, McKinsey Solutions
  • Key Strategies: Christensen, Ambidextrous, Toyota, TRIZ, H1,2,3
  • Summary of Training: Key Concepts, Resources, Tools, Trends, ‘To Do’s, Feedback

 

Stephen Hawking: “AI will be either best or worst thing for humanity”.

This TRAINING PROGRAM provides managers with the ability to see through AI in a way that helps their organization win it. Paraphrasing the eternal genius Stephen Hawking, we can say: ‘AI will be either best or worst thing for our company’.

This course provides four key tools for AI Management:

(1) It summarizes and structures state of the art management paradigms related to AI: Harvard, MIT, McKinsey, BCG, Deloitte, Accenture and more.

(2) It places AI Management into a wider picture: Key innovation management tactics and strategies are being introduced.

(3) It provides definition of key expressions and concepts related to AI, Machine Learning, Data and beyond – necessary for meaningful boardroom discussions.

(4) It introduces key forward-looking trends within AI: Data as an Asset, Predictive AI changing consumer decisions, Digital Convergence, Machine Driven Corporate Strategy, Building ‘Digital Confidence, The Red Queen Effect

AI Divides technology experts. Some think it is dangerous, some believe it is the new electricity.  In business we have to be prepared either ways.

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