Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
OpenTalks.AI - Сапунов Григорий, Ландшафт облач...
Search
OpenTalks.AI
February 14, 2019
Science
720
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
OpenTalks.AI - Сапунов Григорий, Ландшафт облачных когнитивных сервисов
OpenTalks.AI
February 14, 2019
More Decks by OpenTalks.AI
See All by OpenTalks.AI
OpenTalks.AI - Виктор Лемпицкий, Моделирование 3Д сцен: новые подходы в 2020 году
opentalks
0
510
OpenTalks.AI - Алексей Чернявский, Нейросетевые алгоритмы для повышения качества медицинских изображений
opentalks
0
460
OpenTalks.AI - Александр Громов, Устойчивость нейросетевых моделей при анализе КТ/НДКТ-исследований
opentalks
0
390
OpenTalks.AI - Денис Тимонин, Megatron-LM: Обучение мультимиллиардных LMs при помощи техники Model Parallelism
opentalks
0
550
OpenTalks.AI - Егор Филимонов, Возможности платформы Huawei Atlas и эффективный гетерогенный инференс.
opentalks
0
190
OpenTalks.AI - Александр Прозоров, Референсная архитектура робота сервисного центра в отраслях с изменчивыми бизнес-процессами
opentalks
0
410
OpenTalks.AI - Наталья Лукашевич, Анализ тональности по отношению к компании — с чем не справился BERT
opentalks
0
350
OpenTalks.AI - Константин Воронцов, Фейковые новости и другие типы потенциально опасного дискурса: типология, подходы, датасеты, соревнования
opentalks
0
470
OpenTalks.AI - Дмитрий Ветров, Фрактальность функции потерь, эффект двойного спуска и степенные законы в глубинном обучении - фрагменты одной мозаики
opentalks
0
500
Other Decks in Science
See All in Science
AI bij literatuuronderzoek in de wetenschap
voginip
0
260
データベース12: 正規化(2/2) - データ従属性に基づく正規化
trycycle
PRO
0
1.8k
Inside the Mind of an LLM
baggiponte
0
370
チュートリアル:世界モデル
hf149
0
2.4k
生成AIが科学とRAにもたらしていること:メタサイエンスの視点から
rmaruy
0
140
データベース02: データベースの概念
trycycle
PRO
2
1.4k
SAT ソルバーの仕組みと制約ソルバーへの応用
tsoh
3
660
社内で活躍できるデータサイエンティストになるために
aikinohara
1
180
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1.7k
「表象」を再定義するー潜在表現解析の落とし穴
ykamit
0
1k
Toward Causal Scientific Discovery with AI
sshimizu2006
0
210
データベース03: 関係データモデル
trycycle
PRO
1
890
Featured
See All Featured
The Art of Programming - Codeland 2020
erikaheidi
57
14k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1.3k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
62k
Making the Leap to Tech Lead
cromwellryan
135
10k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Paper Plane
katiecoart
PRO
4
54k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Faster Mobile Websites
deanohume
310
32k
[SF Ruby Conf 2025] Rails X
palkan
3
1.4k
Fashionably flexible responsive web design (full day workshop)
malarkey
409
67k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
440
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
930
Transcript
Сloud cognitive services landscape Grigory Sapunov / CTO, Intento ©
Intento, Inc. February 2019
INTENTO 2 © Intento, Inc. / February 2019 A simple
API to third-party AI models from many vendors https://inten.to
AI SUPPLY SIDE STACK 3 Hardware and infrastructure Deep Learning
Frameworks Neural Network Architectures Training Inference Data Processing Data Data Collection API Management Domain Adaptation © Intento, Inc. / February 2019
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. / February 2019
A PLENTY OF SUPPLY 5 APIs 200+ intents 100+ AI
models 20,000+ © Intento, Inc. / February 2019
6 23 intents 60+ APIs © Intento, Inc. / Confidential
/ June 2018 EXAMPLE: NLP APIS © Intento, Inc. / February 2019 6
7 © Intento, Inc. / Confidential / June 2018 EXAMPLE:
MT APIS 7 Based on Jan 2019 report on MT: https://bit.ly/stock_mt_jan2019
DOES IT WORK? SOMETIMES 8 of companies using AI get
ROI >30% 83% Deloitte State of Cognitive Survey 2017
DOES IT WORK? SOMETIMES 9 of them use third-party AI
80% of companies using AI get ROI >30% 83% Deloitte State of Cognitive Survey 2017
DOES IT WORK? NOT QUITE 10 of them use third-party
AI 80% of companies using AI get ROI >30% 83% Deloitte State of Cognitive Survey 2017 of all companies ever tried to use AI 20%
LEGACY (SAAS) BUYING PROCESS 11 Good brand — Set of
features — Price — Pilot Integration “AI IS NOT THERE YET!” Six months later: © Intento, Inc. / February 2019
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, Inc. / February 2019
FEATURES DIFFER SIGNIFICANTLY (SENTIMENT ANALYSIS EXAMPLE) 13 © Intento, Inc.
/ February 2019 13
QUALITY DIFFERS SIGNIFICANTLY (MACHINE TRANSLATION EXAMPLE) 14 Based on July
2018 report on MT: https://bit.ly/mt_jul2018
QUALITY CONSTANTLY CHANGES (MACHINE TRANSLATION EXAMPLE) 15 Based on July
2018 report on MT: https://bit.ly/mt_jul2018
ANOTHER RED FLAG: PRICE 16 up to 300x difference for
similar services — Machine Translation: $3 to $960 per 1M symbols — Sentiment Analysis: $1 to $99 per 10K API calls https://bit.ly/stock_mt_jan2019 https://bit.ly/sa_overview © Intento, Inc. / February 2019
EXAMPLE: SENTIMENT ANALYSIS PRICES 17 © Intento, Inc. / February
2019
NO SINGLE BEST/OPTIMAL VENDOR 18 Based on Jan 2019 report
on MT: https://bit.ly/stock_mt_jan2019
YOU CAN COMBINE SEVERAL VENDORS 19 Based on custom NMT
report: https://bit.ly/custom_nmt_nov2018
DEVELOPER EXPERIENCE (DX) 20 More info at https://bit.ly/intento_dx 20
IT’S MORE LIKE HIRING HUMANS 21 evaluate source onboard ©
Intento, Inc. / February 2019
WITH ITS OWN PROBLEMS 22 different APIs and data formats
— hard to evaluate — hard to use multiple vendors concurrently — hard to source © Intento, Inc. / February 2019
Programmable Web AI MODELS: SOURCING 23 Major AI Vendors AI
API Marketplaces Indie AI Vendors Deprecated AI APIs © Intento, Inc. / February 2019
AI MODELS: EVALUATION 24 lots of vendor reports and marketing
— web demos — … <the tools chasm> … — API integrations NOTHING! © Intento, Inc. / February 2019
AI MODELS: ONBOARDING 25 different APIs, SDKs, CLIs (changed and
deprecated from time to time) — connectors and plugins to client systems — domain adaptation © Intento, Inc. / February 2019
HOW INTENTO CHANGES THAT? 1. CORE TECHNOLOGY 26 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 evaluate source onboard © Intento, Inc. / February 2019
HOW INTENTO CHANGES THAT? 2. SOURCING 27 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) evaluate source onboard © Intento, Inc. / February 2019
HOW INTENTO CHANGES THAT? 3. EVALUATION 28 Single API https://github.com/intento/intento-api
— human-friendly evaluation tools (command-line interface) and evaluation API — API request smart-routing, optimizing performance, price or latency evaluate source onboard © Intento, Inc. / February 2019
HOW INTENTO CHANGES THAT? 4. ONBOARDING 29 Single API, Vendor-agnostic
SDK and developer tools https://console.inten.to — Re-usable plugins and connectors to internal systems — No vendor-lock, can use multiple vendors simultaneously evaluate source onboard © Intento, Inc. / February 2019
ACCESS TO MANY MODELS EASY TO PICK THE RIGHT ONE
30 API MARKETPLACES INDIE VENDORS MAJOR VENDORS EASY TO CHOOSE HARD TO CHOOSE FEW MODELS MANY MODELS © Intento, Inc. / February 2019
CONCLUSIONS 31 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. / February 2019
THANK YOU! 32 Grigory Sapunov
[email protected]
2150 Shattuck Ave Berkeley
CA 94705 https://inten.to
[email protected]