Improving the Demand Side of the AI Economy (API World 2018)
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Training AI in-house is often infeasible as it requires a critical mass of talent and data, and has high R&D risks. For Cognitive AI, like machine translation and speech recognition, hundreds of pre-trained and adaptive models are already available on the market via APIs from many vendors. Their performance varies case by case and change often. Their prices are 100x-200x times different, hence a wrong choice may be a complete miss. In this talk, we argue that the only way to go is to evaluate and continuously optimize AI vendor portfolio and introduce our vendor-agnostic demand-side API platform for AI.
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Improving the Demand Side of the AI Economy (API World 2018)
- 1. IMPROVING THE DEMAND SIDE OF THE AI ECONOMY Konstantin Savenkov © Intento, Inc. September 2018
- 2. INTENTO !2© Intento, Inc. / September 2018 INTENTO A simple API to third-party AI models from many vendors https://inten.to
- 3. AI SUPPLY SIDE STACK !3 INTENTO Hardware and infrastructure Deep Learning Frameworks Neural Network Architectures Training Inference Data Processing Data Data Collection API Management Domain Adaptation © Intento, Inc. / September 2018
- 4. !4 Hardware and infrastructure Deep Learning Frameworks Neural Network Architectures Training Inference Data Processing Data Data Collection API Management Domain Adaptation ON THE SHOULDERS OF GIANTS http://www.shivonzilis.com/machineintelligence© Intento, Inc. / September 2018
- 5. A PLENTY OF SUPPLY !5 APIs 200+ intents 100+ AI models 20,000+ INTENTO© Intento, Inc. / September 2018
- 6. !6 23 intents 60+ APIs © Intento, Inc. / Confidential / June 2018 EXAMPLE: NLP APIS
- 7. DOES IT WORK? SOMETIMES !7 of companies using AI get ROI >30% 83% Deloitte State of Cognitive Survey 2017 INTENTO
- 8. DOES IT WORK? SOMETIMES !8 of them use third-party AI 80% of companies using AI get ROI >30% 83% Deloitte State of Cognitive Survey 2017 INTENTO
- 9. DOES IT WORK? NOT QUITE !9 of them use third-party AI 80% of companies using AI get ROI >30% 83% Deloitte State of Cognitive Survey 2017 INTENTO of all companies ever tried to use AI 20%
- 10. ANOTHER RED FLAG: PRICE !10 up to 300x difference for similar services — Machine Translation: $3 to $972 per 1M symbols — Sentiment Analysis: $1 to $99 per 10K API calls INTENTO© Intento, Inc. / September 2018 https://bit.ly/mt_jul2018 https://bit.ly/sa_overview
- 11. LEGACY (SAAS) BUYING PROCESS !11 INTENTO Good brand — Set of features — Price — Pilot Integration “AI IS NOT THERE YET!” Six months later: © Intento, Inc. / September 2018
- 12. WHAT MAKES THE AI DIFFERENT? !12 trained on vast amount of unknown data — performance varies up to 4x case by case — constantly updated (not always improving) — has its own quirks — decisions often made by non engineers INTENTO© Intento, Inc. / September 2018
- 13. IT’S MORE LIKE HIRING HUMANS !13 INTENTO evaluate source onboard © Intento, Inc. / September 2018
- 14. WITH ITS OWN PROBLEMS !14 different APIs and data formats — hard to evaluate — hard to use multiple vendors concurrently — hard to source INTENTO© Intento, Inc. / September 2018
- 15. Programmable Web AI MODELS: SOURCING !15 INTENTO Major AI Vendors AI API Marketplaces Indie AI Vendors Deprecated AI APIs © Intento, Inc. / September 2018
- 16. AI MODELS: EVALUATION !16 INTENTO lots of vendor reports and marketing — web demos — … — API integrations NOTHING! © Intento, Inc. / September 2018
- 17. AI MODELS: ONBOARDING !17 different APIs, SDKs, CLIs — connectors and plugins to client systems — domain adaptation INTENTO© Intento, Inc. / September 2018
- 18. HOW INTENTO CHANGES THAT? 1. CORE TECHNOLOGY !18 we build and maintain many AI API integrations — intent-based vendor-agnostic API — high-performance AI middleware solution — the same convenience tools for every API: SDK, CLI, developer console INTENTO evaluate source onboard © Intento, Inc. / September 2018
- 19. HOW INTENTO CHANGES THAT? 2. SOURCING !19 Intento Service Catalog https://inten.to/api-platform — monitoring changes in API specs, documentation and behavior — regular public evaluation reports (performance, price and feature comparison) INTENTO evaluate source onboard © Intento, Inc. / September 2018
- 20. HOW INTENTO CHANGES THAT? 3. EVALUATION !20 Single API https://github.com/intento/intento-api — human-friendly evaluation tools (command-line interface) — API request smart-routing, optimizing performance, price or latency INTENTO evaluate source onboard © Intento, Inc. / September 2018
- 21. HOW INTENTO CHANGES THAT? 4. ONBOARDING !21 Vendor-agnostic SDK and developer tools https://console.inten.to — Re-usable plugins and connectors to internal systems — No need to choose the AI vendor INTENTO evaluate source onboard © Intento, Inc. / September 2018
- 22. ACCESS TO MANY MODELS EASY TO PICK THE RIGHT ONE !22 INTENTO API MARKETPLACES INDIE VENDORS MAJOR VENDORS EASY TO CHOOSE HARD TO CHOOSE FEW MODELS MANY MODELS INTENTO© Intento, Inc. / September 2018
- 23. CONCLUSIONS !23 INTENTO lots of niche AI models with APIs — complex performance / price landscape — AI users: choose AI portfolio, not a single vendor — AI vendors: - avoid inventing new APIs - make tools for humans as well © Intento, Inc. / September 2018
- 24. THANK YOU! !24 Konstantin Savenkov ks@inten.to 2150 Shattuck Ave Berkeley CA 94705 INTENTO https://inten.to Konstantin Savenkov ks@inten.to