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Machine intelligence is red hot space but startups now face uphill battle


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In this webinar Steve Ardire, AI startup advisor, will share experiences and lessons learned on how AI startups with terrific product/market fit and smart tactical execution can compete and win against status quo players.

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Machine intelligence is red hot space but startups now face uphill battle

  1. 1. © 2017 All Rights Reserved | Steve Ardire
  2. 2. © 2017 All Rights Reserved | Steve Ardire xClone Steve Ardire Strategic Advisor AI Startups @sardire skype: sardire 100% focus #AI startups ( 50 startups over 20 years ) business strategy, close funding, go-to-market, speak at AI conferences • Podcast: Getting Illuminated on AI via @sardire @sandramp 5500 impressions since Feb 7 when posted Just listened to whole podcast. Great interplay with Sandra, both were very articulate, providing great insights and explanation on the subject. Gave me a better appreciation of your skill set <> • Inside Mind an AI Startup Advisor via @LolitaTaub Gigs include & more soon MachineIntelligence is Red Hot Space but Startups Now Face Uphill Battle March 23, 2017
  3. 3. © 2017 All Rights Reserved | Steve Ardire Shivon Zilis: startups shifting away from building broad technology platforms with “machine intelligence as magic box” to focusing on solving specific business problems to deliver real value. Steve: but no slam dunk for startups because of 3 significant hurdles to overcome. In Jan 2016 did
  4. 4. So Why I do What I do ;-)
  5. 5. Actually it’s more like the Missing Apex here I call it passion with purpose Maslow’s original Hierarchy of Human Needs ( 1943 ) The Missing Apex of Maslow’s Hierarchy ( before 1970 )
  6. 6. © 2016 All Rights Reserved | Steve Ardire “AI Is About To Go Mainstream to Reshape The Workplace and your organization's Data Strategy"  My 3 takeaway points 1. Machines can attend to vastly more information and more complex processes than human beings 2. Many jobs will be automated but drive human capital to higher- order, non-routine cognitive creative work 3. Augmented Intelligence where machines & humans work together will become pervasive.
  7. 7. © 2017 All Rights Reserved | Steve Ardire • Opensouce Algorithms & software libraries (e.g., TensorFlow) • AWS, Google, MSFT Azure clouds easily accessible and inexpensive. • AI shift from academic labs to big corporate players who now Hoard Talent and Acqui-hire AI startups • $5 billion 658 AI deals in 2016 with $ invested up about 60%. • Non-U.S. startups ( U.K., Canada, France, Israel, China India ) grew to 38% of global total in 2016 up from 21% in 2012. With Trump bet 50% in 2017 and continue to grow. Dynamic forces shaping AIGinny Rometty “ in five years, cognitive AI will impact every decision made” from healthcare to education to financial services
  8. 8. © 2017 All Rights Reserved | Steve Ardire It’s all about AI Workplace Automation • Every application is going to become intelligent. • AI Market to reach $70 billion by 2022 Why need ? Collaborative Overload 20% to 35% of value-added collaborations come from just 3% to 5% of employees • Prediction not same as automation • Most valuable workforce skills involve judgment • New talents & expertise for managing
  9. 9. © 2017 All Rights Reserved | Steve Ardire Companies Reimagining Business Processes with Algorithms Algorithms redesign business processes like humans did during reengineering movement.
  10. 10. Most disruptive emerging tech to change the world AI = augmented intelligence where #machineintelligence works with humans but don't agree in 5 years because it’s happening now
  11. 11. © 2017 All Rights Reserved | Steve Ardire Now > 1600 AI startups and private companies with > $12B of funding
  12. 12. CB Insights: 140 AI start-ups have been acquired since 2011 However most are acqui-hires and value can get to $2.5M/employee
  13. 13. © 2017 All Rights Reserved | Steve Ardire AI by the Bay conference what VCs are looking for in AI startups mostly obvious sound bites and platitudes Kevin Kelly: “Business plans of next 10,000 startups Take X add AI” sounds good in theory but in practice 9 of 10 startups fail ( maybe less for AI )
  14. 14. © 2017 All Rights Reserved | Steve Ardire MEDHA AGARWAL, REDPOINT VENTURES @MKHANDEL MARCH 11, 2017 Opportunities for machine-learning startups: An investor perspective
  15. 15. © 2016 All Rights Reserved | Steve Ardire so where do startup play here ? This is much better than previous slide so I’ll convey key snippets
  16. 16. © 2017 All Rights Reserved | Steve Ardire Verizon Ventures and R/GA team up for joint media tech venture invites applications from growth-stage & innovative early-stage companies....ahhh not for $100K #cheapskates
  17. 17. © 2017 All Rights Reserved | Steve Ardire Useful Framework for Raising Capital seed+ hardest to close funding
  18. 18. © 2017 All Rights Reserved | Steve Ardire AI has jumped the shark! What’s changed in past year making it harder for startups? • Big players dominating marketing messaging so startups must be smart and bold to get attention, funding, and customers • too many peeps now think they’re an AI expert i.e. analysts, VC’s, C level peeps in Global 2000 companies, even Jane and Joe Knowledge worke The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge. — Stephen Hawking
  19. 19. © 2017 All Rights Reserved | Steve Ardire even though SalesForce spent > $1B on AI acquisitions The implicit reasons • Intensifying competition from Google, MSFT, Amazon, Facebook • Drive up stock prices Key Messages • Making data simple & accessible • Get inspired about data. • Empowering people & teams in new ways • Building hybrid cloud architectures for data-rich workloads Key Takeway • IBM delivering on promise of cognitive business with synergy across Watson Cloud to Watson IoT, and 4,000 startups now on the IBMCloud.
  20. 20. © 2017 All Rights Reserved | Steve Ardire Google turning more to partners rather than just acquisitions to push its cloud to try and woo more enterprise customers becoming more the Microsoft, Amazon, IBM Google says it has best AI and has joined chorus to "democratize" AI
  21. 21. © 2017 All Rights Reserved | Steve Ardire Google buys a company every week but IMO more about talent acquisition to prevent disruptive competitors
  22. 22. © 2017 All Rights Reserved | Steve Ardire Amazon to Battle Google w/ New #Cloud Service for #AI Software May 2016 Service will heighten competition with IBM, Microsoft Amazon launches Amazon AI to bring its machine learning to developers Nov 2016 Amazon to bring Alexa & cloud-based deep learning to call centers Feb 2017 centers/
  23. 23. © 2017 All Rights Reserved | Steve Ardire Why Microsoft’s buy out of Maluuba should put other ‘AI’ startups in check should-put-other-ai-startups-in-check/ It’s raised bar so your AI startup must be different and know how to execute ;-)
  24. 24. © 2017 All Rights Reserved | Steve Ardire
  25. 25. © 2017 All Rights Reserved | Steve Ardire Baidu launches SwiftScribe, an app that transcribes audio with AI Baidu’s chief #AI scientist Andrew Ng departs to pursue his research interests
  26. 26. © 2016 All Rights Reserved | Steve Ardire so where does your AI startup play?
  27. 27. 1. Name the category 2. Evangelize, Inspire 3. Seed the market with success stories and case studies • Identify potential references. • Create success stories. • Find Developer Heroes • Joint PR 4. Rinse and Repeat But always refine and develop new examples and success stories
  28. 28.
  29. 29. The central piece of exClone is derived from the Human Dialogue. These are referred to as “dialogue patterns” tailored for different chatbot objectives such as sales, advising, assisting
  30. 30. #EmotionalIntelligence @Soulmachines Highly engaging human-like Avatars, with personality and character. Brought to life with our Embodied Cognition Platform. Emotional Intelligence for AI Auckland, New Zealand
  31. 31. Intraspexion™ uses a patented "early warning" system featuring Deep Learning to alert corporate counsel to litigation risks in near real time.
  32. 32. • Nigel Artificial Intelligence Learns Common Sense via Observation where "Intelligence" is based on physics and quantum mechanics (subnet modeling) not neuroscience. • There is no deep neural nets or a flavor of deep learning. • In theory, AGI doesn't need to be trained in order to learn, as opposed to other established cognitive platforms which must ingest training data in order to make sense of tasks.
  33. 33. So I’ll close with this
  34. 34. © 2017 All Rights Reserved | Steve Ardire