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Frank Chen at AI Frontiers: Startups and AI

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Isn't AI going to be dominated by the big companies like Google and Amazon and Microsoft and Baidu? What can startups do to thrive in this ecosystem? What are investors looking for when they meet AI-powered startups? Should startups with AI inside think about their go-to-market process any differently from other startups? Frank Chen from Andreessen Horowitz will tackle these and other AI startup questions in this session.

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Frank Chen at AI Frontiers: Startups and AI

  1. 1. FRANK CHEN Artificial Intelligence @withfries2 frank@a16z.com Surveying The Startup Landscape
  2. 2. ©2017 Andreessen Horowitz. Proprietary and confidential. Databases Got Inside All Software
  3. 3. ©2017 Andreessen Horowitz. Proprietary and confidential. So Will AI
  4. 4. ©2017 Andreessen Horowitz. Proprietary and confidential.
  5. 5. ©2017 Andreessen Horowitz. Proprietary and confidential. 20162009 Mobile First 2007 Cloud Native AI Inside
  6. 6. ©2017 Andreessen Horowitz. Proprietary and confidential. 20031995 Internet Architecture 1993 Client-Server Virtual Appliance
  7. 7. ©2017 Andreessen Horowitz. Proprietary and confidential.
  8. 8. Transition Subtitle Goes Here What Can Startups Do?
  9. 9. ©2017 Andreessen Horowitz. Proprietary and confidential. See in the Real World
  10. 10. ©2017 Andreessen Horowitz. Proprietary and confidential. Seeing Things in the World COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES: Image recognition,
 image segmentation, and 
 visual similarity search What’s similar to this thing in the picture?
  11. 11. ©2017 Andreessen Horowitz. Proprietary and confidential. Automated Analysis of Drone Imagery Image segmentation, flight planning, grade analysis Safety compliance, maximize fuel efficiency, calculate stockpile volumes, recognize storm damage COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  12. 12. ©2017 Andreessen Horowitz. Proprietary and confidential. Understand Language
  13. 13. ©2017 Andreessen Horowitz. Proprietary and confidential. Help Lawyers Win Trials Logistic Regressions, SVM, Long Short-Term Memory Convolutional Neural Nets Train new prediction models, identify documents relevant for a trial by topic, translate documents into other languages, audio transcription COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  14. 14. ©2017 Andreessen Horowitz. Proprietary and confidential. Hear the Voice of the Customer Topic modeling with BigARTM, NLP, opinion mining and sentiment analysis, deep learning (LSTM, Unsupervised Sentiment Neuron) with Keras and Tensorflow Automatically detect themes and sentiment in customer reviews COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUE:
  15. 15. ©2017 Andreessen Horowitz. Proprietary and confidential. Make Predictions
  16. 16. ©2017 Andreessen Horowitz. Proprietary and confidential. Help Airbnb Hosters Price Their Pads https://www.blog.google/products/gmail/save-time-with-smart-reply-in-gmail/ Image analysis, Aerosolve open source project Predict probability of getting a booking based on price, date, photos, location, unique listing features COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  17. 17. ©2017 Andreessen Horowitz. Proprietary and confidential. Surface The Best Tips And Photos https://www.blog.google/products/gmail/save-time-with-smart-reply-in-gmail/ Support vector machines, sentiment analysis, spam detection, k-nearest neighbor Rank tips, group photos, figuring out whether you’re near a venue COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  18. 18. ©2017 Andreessen Horowitz. Proprietary and confidential. Figure Out Best Distribution Outlet for a Story Logistic Regressions, Word Embeddings, Recurrent Neural Networks on Elastic Map Reduce, RedShift, BigQuery Figure out initial offsite distribution channel for item, and how to optimally route it across channels. Content adaptation and translation. COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  19. 19. ©2017 Andreessen Horowitz. Proprietary and confidential. Collect Groceries as Fast as Possible Gradient boosted decision trees, deep learning with TensorFlow and Keras 8% improvement to pick up times COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUE:
  20. 20. ©2017 Andreessen Horowitz. Proprietary and confidential. Search For Anti- Aging Drugs http://blogtacular.com/wp-content/uploads/2016/03/Pinterest-Visual-Search-Zoom-4.png Used machine learning techniques to filter through 14k metabolites and found a set of 171 metabolites that are predictive of mortality This subset of metabolites can be used to develop anti-aging drugs and screen for efficacy COMPANY | ORGANIZATION: DESCRIPTION:
  21. 21. ©2017 Andreessen Horowitz. Proprietary and confidential. Predict Health Problems Detect atrial fibrillation using data from your smartwatch COMPANY | ORGANIZATION: DESCRIPTION: Deep neural networks, reinforcement learning TECHNIQUES:
  22. 22. ©2017 Andreessen Horowitz. Proprietary and confidential. Self-Drive, Self-Fly, Self-Map…
  23. 23. ©2017 Andreessen Horowitz. Proprietary and confidential. TECHNIQUES: Map Inside of a Building https://www.cnet.com/news/youtube-auto-caption-1-billion-videos-subtitles-hearing-impaired/ Vision/face recognition, Simultaneous Localization and Mapping (SLAM), path planning COMPANY | ORGANIZATION: DESCRIPTION: Flies inside buildings, constructs 3D maps, identifies people
  24. 24. ©2017 Andreessen Horowitz. Proprietary and confidential. Drive Taxis https://www.blog.google/products/gmail/save-time-with-smart-reply-in-gmail/ Vision recognition, 
 SLAM, motion planning, 
 vehicle control Self driving taxi service live in San Jose Villages COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  25. 25. ©2017 Andreessen Horowitz. Proprietary and confidential. Self-Fly And Drop Off Blood https://www.blog.google/products/gmail/save-time-with-smart-reply-in-gmail/ Motion planning, navigation 110 kph 75 km delivery radius 30 minute fulfillment time 500 deliveries/day 1.5 kg payload COMPANY | ORGANIZATION: DESCRIPTION: TECHNIQUES:
  26. 26. ©2017 Andreessen Horowitz. Proprietary and confidential. Provide Infrastructure 
 (Picks & Shovels)
  27. 27. ©2017 Andreessen Horowitz. Proprietary and confidential. Provide Data Analytics Platform COMPANY | ORGANIZATION: TECHNIQUE: Apache Spark MLlib (classifications, data prep, regressions, random forest, decision trees, XGBoost…), Scit-kit Learn, Visuatlizations DESCRIPTION TEXT Built on Spark, Databricks enables ML teams to run experiments at scale
  28. 28. ©2017 Andreessen Horowitz. Proprietary and confidential. Auto-Tune Your Existing Models COMPANY | ORGANIZATION: TECHNIQUE: “AI for AI” using ensemble of Bayesian and global optimization strategies to perform black-box optimization (just looks at configs and outputs, not data or model) DESCRIPTION TEXT Optimization as a Service that bolts on top of an existing ML or AI pipeline to automatically and optimally tune it.
  29. 29. ©2017 Andreessen Horowitz. Proprietary and confidential. HD Mapping for Safe Autonomy COMPANY | ORGANIZATION: TECHNIQUE: Sensing via sensor fusion, mapping & localization, ML to add semantics and understand traffic patterns, scale out serving infrastructure DESCRIPTION TEXT HD Mapping as Service that creates and locates vehicles on a 3D map with centimeter accuracy at 80 mph Roundabout Complicated Intersection
  30. 30. What Do We Look For? Transition Subtitle Goes Here
  31. 31. ©2017 Andreessen Horowitz. Proprietary and confidential. More specifically:
 What do we look for in an AI startup that’s different from the other startups we invest in?
  32. 32. ©2017 Andreessen Horowitz. Proprietary and confidential. Answer:
 Nothing
  33. 33. Big Market ©2017 Andreessen Horowitz. Proprietary and confidential.
  34. 34. ©2017 Andreessen Horowitz. Proprietary and confidential. Technical Founders With the Right Kind of Ambition
  35. 35. ©2017 Andreessen Horowitz. Proprietary and confidential. Product-Market Fit PRODUCT MARKET FIT
  36. 36. ©2017 Andreessen Horowitz. Proprietary and confidential. Founder-Product Fit
  37. 37. ©2017 Andreessen Horowitz. Proprietary and confidential. Durable Defensive Moat
  38. 38. ©2017 Andreessen Horowitz. Proprietary and confidential. Attractive Unit Economics (or Other Operating Metrics) LTV > CAC = 😀 CAC > LTV = 😩
  39. 39. Fast Growth
  40. 40. ©2017 Andreessen Horowitz. Proprietary and confidential. If You Are an AI Startup Please do not let me stump you on the basics What machine learning techniques are you using? Why those techniques? 
 How well do they work? What business benefits can you deliver with those techniques?
  41. 41. ©2017 Andreessen Horowitz. Proprietary and confidential.
  42. 42. ©2017 Andreessen Horowitz. Proprietary and confidential.©2017 Andreessen Horowitz. Proprietary and confidential.

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