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How to be successful with Artificial Intelligence - from small to success


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Keynote from AI World Congress in October 2019. Artificial Intelligence isn't just for the technies; it is crucial that business-oriented individuals adopt this technology, which can be conceived as the fourth industrial age. Artificial intelligence is becoming closer to being a a part of our daily lives through the use of technologies like virtual assistants such as Alexa, smart homes, and automated customer service. Now, we are running the race not just to win, but to survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and futurist ideas are developing into reality at accelerated rates.

How can you help your your company to evolve, adapt and succeed using Artificial Intelligence to stay at the forefront of the competition, and win the race for AI adoption in your organization? What are the potential issues, complications and benefits that artificial intelligence could bring to us and our organisations? In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in Artificial Intelligence.

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How to be successful with Artificial Intelligence - from small to success

  1. 1. Howtobesmall andsuccessfulwithAI
  2. 2.
  3. 3. Jen Stirrup •Boutique Consultancy Owner of Data Relish •Postgraduate degrees in Artificial Intelligence and Cognitive Science •Twenty year career in industry •Author • • • •
  4. 4. deep learning at Microsoft • Microsoft Cognitive Services • Skype Translator • Cortana • Bing • HoloLens • Microsoft Research Microsoft Cognitive Toolkit
  5. 5. “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Amara
  6. 6. 8 ‘C’s of AI • Customers • Compete • Capitalize • Create • Costs • Challenges • Calculate • Cognition
  7. 7. Look Horizontally across your business for common goals
  8. 8. Look for the right AI capabilities to help you meet business challenges
  9. 9. Adapt
  10. 10. Some ‘C’s of AI Strategy Customers Competition Capitalize Create Costs Challenges Calculate Cognition
  11. 11. Customers
  12. 12. Capitalize and Optimize
  13. 13. Competition
  14. 14. Create
  15. 15. Costs
  16. 16. Challenges
  17. 17. Calculate
  18. 18. Cognition
  19. 19. Data Science Team Process