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Artificial Intelligence in the startup world

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Artificial Intelligence in the startup world

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Artificial intelligence (AI) has become an important aspect of our everyday life. From a common topic in science fiction and future studies it is now being used in a wide spectrum of day to day services, both for advanced technologies and personal applications. AI seems associated with startups and several companies do develop and promote AI as their unique selling product. However, with almost 7 years of continuous ‘AI’ developments how promising could an AI startup still be? This talk aims to describe the AI challenges as experienced from the eyes of a startup, its challenges and opportunities as well as how connections with lead Universities in the area could help in future synergies.

Artificial intelligence (AI) has become an important aspect of our everyday life. From a common topic in science fiction and future studies it is now being used in a wide spectrum of day to day services, both for advanced technologies and personal applications. AI seems associated with startups and several companies do develop and promote AI as their unique selling product. However, with almost 7 years of continuous ‘AI’ developments how promising could an AI startup still be? This talk aims to describe the AI challenges as experienced from the eyes of a startup, its challenges and opportunities as well as how connections with lead Universities in the area could help in future synergies.

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Artificial Intelligence in the startup world

  1. 1. © Vicarious, 2018
  2. 2. © Vicarious, 2018 AI in Startups Dr Stelios Kapetanakis University of Brighton, UK
  3. 3. Speaker u Dr Stelios Kapetanakis u Director of the Knowledge Engineering Group, CEM, Brighton u Head of Research and Development for Gluru, Ltd. u Member of the British Specialist Group in Artificial Intelligence
  4. 4. Disclaimer “Any views you hear today are related solely to the presenter and they don’t represent in any way the University of Brighton, Gluru Ltd. or any other organisation the presenter has worked for or collaborated with in the past”
  5. 5. AI and Startups u Artificial Intelligence u Startups u Startups and Universities
  6. 6. AI is around us: We live in An AI world AI? Is around us?: We live in An AI? World?
  7. 7. What is AI? u 1956: AI Start u 1973: The Fall – AI Winter I – u 1980: Rise in Japan u 1987: - AI Winter II – u 1993 – 2011 – The Victory of the neats u 2011 - ? © Fandom - Smite, 2018 “An ancient wish to forge the gods”
  8. 8. AI Technology
  9. 9. AI Technology u Core Tech u AI u Deep Learning u Machine Learning u NLP Platforms u Predictive APIs u Image Recognition u Speech Recognition u Rethinking Industries u AdTech u Agriculture u Education u Finance u Legal u Manufacturing u Medical u Oil/Gas u Media/Content u Consumer Finance u Philanthropies u Automotive u Diagnostics u Retail u Rethinking Enterprise u Sales u Security u Fraud Detection u HR/Recruiting Marketing u Personal Assistant u Intelligence Tools u Rethinking Humans/ HCI u Augmented Reality u Gestural Computing u Robotics u Emotional Recognition u Supporting Technologies u Hardware u Data Preparation u Data Collection © techemergence.com
  10. 10. AI Technology - Shares u Autonomous robots: 31% (3,582 – 13,927) u (including self-driving vehicles) u Digital assistants: 30% (2,175 – 8,075) u (e.g., Siri, automated online assistants) u Neurocomputers: 22% (1,590 – 4,685) u Embedded systems: 19% (877 – 2,095) u (machine monitoring and control systems) u Expert systems: 12% (7,055 – 12,433) u (e.g., medical decision support systems, smart grid) u Others: 5% Numbers are in million $
  11. 11. AI and startups “I think it’s tempting for every entrepreneur to package his or her company as an AI company, and it’s tempting for every VC to want to say ‘I’m an AI investor.’” “The startups that made up a story that isn’t fulfillable, and fooled VCs into investing because they don’t know better.” Dr. Kai-Fu Lee
  12. 12. Startup spectrum – What is a startup? “A startup is a company working to solve a problem where the solution is not obvious and success is not guaranteed” Neil Blumenthal, cofounder and co-CEO of Warby Parker. “Startup is a state of mind” Adora Cheung, cofounder and CEO of Homejoy
  13. 13. Startup Spectrum © cbinsights.com
  14. 14. Startup Spectrum – past years u Vicarious, 2013 u Watson, Deepmind, 2014 u 6sense, Botanic.io, Arria, Automation Insights, Banjo, ID Avatars, Infer, MindMeld, Mintigo, Presado, Skytree, Sense.ly, X.ai, Viv Labs, 2015 u Magic Pony, Blackbird Technologies, Appier, 2016 u SenseTime, Flatiron Health, Directly, Element AI, H2O, UiPath, Pony.ai, C3 IoT, Banjo, Tempus Labs, Stem, InsideSales.com, Dataminr, HyperScience, Vivint, Anki, CloudMinds, Ayasi, iCarbonX, CrowdStrike, Cylance, Tetra, Nuro, SoundHound, 2018
  15. 15. Gluru Spectrum u AN AI-powered customer experience management (CEM) solution provider that seamlessly integrates with your existing customer relationship management (CRM) platform to enable your business to proactively engage with its customers. By leveraging your new or existing knowledge, GLURU uses its multi-patented AI technology - known as MIND - to dialogue with your customers and guide them towards the knowledge they seek. In doing so, GLURU reduces the friction between businesses and users by making it incredibly easy for you to convert your customer's interests into successful outcomes
  16. 16. How startups work u The Startup Mentality u Top layer u Middle layer u Back end u Figures u Rewards u Free.. Coffee u Work from home u Cart Racing
  17. 17. Startup Goals and Promises u MVP u Private Beta Launch u Key Hire u Redesign – Iteration u Public Beta u Major Milestone u First investment round 1 2 3
  18. 18. Startup Selling Patterns u Identify your buyer u Having a good business idea u Communicate it u Understand your market u Problem Solving u Have the right people u Get the right finding u Adapt u Real world use cases
  19. 19. Iterations and Internal Dev Cycles u The Lean startup u The perfect business plan.. u Does not exist….
  20. 20. Crossing the Valley of Death u Growth patterns u Funding stagnation hits
  21. 21. Achievers vs. Tricksters u Startups are selling AI u A few have a good idea u Fewer can succeed with what they have promised to achieve.. u At the moment we have more than 3500 AI startups in the world(!) u How many they will be next year?
  22. 22. The other side u Be unique u Be the 1st u Reuse u No… u SELL u Buy the 1st u SELL u ……Run uSELL
  23. 23. Companies vs. Universities u Universities do the work and companies make profit, hire talent and take the credit u Top AI researchers in universities are poached by Silicon Valley firms u Train the next generation
  24. 24. Observations u At the moment 75% of the AI talent works for.. Companies type Google u Neural Information Processing Systems sells within 11 minutes and 38 seconds… u Blurring line between public & private sectors
  25. 25. Vision for the future u KTPS and KTNs are a first step support collaboration u Good projects should be driven by universities u Startups and Universities should work hand by hand u State role in funding high risk long term research u National AI…
  26. 26. Dr Stelios Kapetanakis s.kapetanakis@brighton.ac.uk THE END © Mechlectures.com

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