State of ai investment 2019
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A review of startups and VCs focusing on AI, and the investment landscape since the past 20 years. A forecast of the investment going forward in terms of # of deals, valuation, and the impact of being in a bubble.
State of ai investment 2019
- 1. Sep. 23, 2019 1 Joseph Wei, Venture Partner, Skychee Ventures Joseph.Wei@skychee.ventures www.linkedin.com/in/josephwei The State of AI Investment - 2019
- 2. Sept. 23, 2019 2 Speaker background Global Landscape for AI AI Value Chain VC funding history and trend What is driving investment in AI? Are we in a bubble? Final thoughts Topics
- 3. Sept. 23, 2019 3 Speaker Background 35 yrs corporate executive at DEC and SGI (both acquired by HP), NEC, and Inventec Venture Partner of Skychee Ventures Founding Partner of Lab360 Incubator (acquired by Heuristic Capital) Mentor
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- 5. Sept. 23, 2019 5 AI Value Chain By Best Practice AI Ltd
- 6. Sep. 23, 2019 6 Historical VC Investment since 1990s
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- 10. Sept. 23, 2019 10 Source:CB Insights
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- 17. Sep. 23, 2019 17 Whats driving AI investment?
- 18. Sept. 23, 2019 18 AI delivers Global Business Value
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- 20. Sept. 23, 2019 20 Many $1 billion+ funds were created in 2018 Sequoia ($8 billion) Tiger Global ($3.75 billion) Bessemer Venture Partners ($1.85 billion) GGV Capital ($1.36 billion) Fund Managers need to invest their funds and generate returns for their Limited Partners in 10 -12 years Availability of Funds
- 21. Sept. 23, 2019 21 # of AI Startups acquisitions from 2010 - 2018
- 22. Sept. 23, 2019 22 Samples of acquisition of AI Startups
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- 24. Sept. 23, 2019 24 Are We in Another Dotcom-Type Bubble?
- 25. Sept. 23, 2019 25 Are we in a bubble? Yes in terms of valuation Recent lackluster IPO by Uber, Lyft, etc. and the lowered valuation of WeWork are examples of a repeat of the dotcom era. No in terms of freezing in investment as the total amount of VC funding is still large as many new funds just raised new funding. In the past several years, some investment decisions were based on Fear Of Missing Out (FOMO), and not based on true technical and business merits. Therefore, early seed funding will be more difficult as VCs will now wait to see more customer tractions before investing
- 26. Sep. 23, 2019 26 Final thoughts
- 27. Sep. 23, 2019 27 AI is just another new technology platform, startups need to understand where their product/service can add value and differentiate in order to succeed.
- 28. Sept. 23, 2019 28 AI vs. ML vs. DL
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- 30. Sept. 23, 2019 30 Similar to Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) for cloud, Machine Learning as a Service (MLaaS) will power a wealth of conversational agents and chatbots, speech, natural language processing (NLP) and semantics, vision, and enhanced core algorithms programs The emergence of MLaaS
- 31. Sept. 23, 2019 31 As AI systems become more powerful, governance of AI becomes a bigger topic and companies need to incorporate a governance model for AI that matches with their business. AI and Governance
- 32. Sep. 23, 2019 32 Contact: Joseph.Wei@skychee.ventures