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Dato Confidential 1 Danny Bickson Co-Founder. Dato Confidential 2 Successful apps in 2015 must be intelligent Machine learning key to next-gen apps Recommenders.

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Presentation on theme: "Dato Confidential 1 Danny Bickson Co-Founder. Dato Confidential 2 Successful apps in 2015 must be intelligent Machine learning key to next-gen apps Recommenders."— Presentation transcript:

1 Dato Confidential 1 Danny Bickson Co-Founder

2 Dato Confidential 2 Successful apps in 2015 must be intelligent Machine learning key to next-gen apps Recommenders Fraud detection Ad targeting Financial models Personalized medicine Churn prediction Smart UX (video & text) Personal assistants IoT Socials nets … Last decade: Data management Now: Intelligent apps ? Last 5 years: Traditional analytics

3 Dato Confidential Systems Elastic, scalable People Data scientist Challenge today: Path from inspiration to production 3 Scale Prototyping Data engineering is painful Limited by system memory Data munging & feature eng. Manipulate complex data types Data intelligence is hard Models don’t scale No task-oriented ML Algos trapped in papers Production is fragile Build custom services & API Write new code to scale Model management InspirationData IntelligenceData EngineeringProduction

4 Dato Confidential 4 What makes Dato unique SFrames/SGraphs Tables, graphs, text, images TBs of data even on laptop Machine learning Business tasks are easy Basics & advanced (boosted trees, deep learning,…) Simple deployment One line deploy Robust, elastic service Consistent updates 16 machines 1 machine Unparalleled performance

5 Dato Confidential Out-of-core computation Tools for feature engineering Rich data type support Models built for scale App-oriented toolkits Advanced ML & Extensible Deploy models as low-latency REST services Same code for distributed computation Elastically scale up or out with one command Job monitoring & model management Deploy existing Python code & models Run on AWS EC2 or Hadoop YARN SGraph Create Engine SFrame Canvas Machine Learning ToolkitsSDK GraphLab CreateDato DistributedDato Predictive Services Predictive Engine REST Client Direct Model Mgmt Distributed Engine Direct Job Client Job Mgmt Dato Platform Build, deploy, & manage your intelligent apps with Dato.

6 Dato Confidential Customers & Growing Community 6 “It’s amazing, you can solve on one machine what we couldn’t get Spark or Giraph to complete on many.” “…SFrames are incredibly useful and powerful.” “The ease of use and scalable performance… are allowing us to innovate and advance at an astonishing pace.” “The blazing speed compared to other frameworks is why we chose to use GraphLab Create in production.” “…as Zynga's lead architect for big data, I found my way to GraphLab. I was astounded at the dramatic [infrastructure] savings, on the order of 500x…” “With GraphLab Create, we can go to production faster.” “Wow, I was able to build a recommender in under a week, this is great!” “GraphLab Create gives us easy access to some of the most advanced machine learning and this lets us iterate on our ideas faster.” “we use and investigate a lot of new machine learning & big data tools. GraphLab Create helps us iterate on ideas for new product features faster and at large scale. Over 5000 users & 300 companies and growing fast. (Image: 700 @user conference.)

7 Dato Confidential 7 Create intelligence or be disrupted Data Engineering Data Intelligence Deployment Fast & scalable Rich data type support Visualization App-oriented ML Supporting utils Extensibility Batch & always-on RESTful interface Elastic & robust

8 Dato Confidential 8 Packages & Base Pricing GraphLab Create Data engineering tools SFrame, SGraph, & Canvas Data intelligence All machine learning toolkits Deployment Client libraries for Dato Distributed & Predictive Services $4,000 annual subscription per user-machine Dato Distributed Distributed execution Job management tools Hadoop integration Client libraries $10,000 annual subscription per machine Dato Predictive Services Low-latency REST queries Real-time model scoring Elastic cluster sizing Model management & versioning Client libraries $10,000 annual subscription per machine

9 Dato Confidential 9 Package Extras Support Plans Base – 2 business day response for all issues Tier 2 – 24h response for all issues  Includes 12 incidents annually  $4,000 per machine annually Tier 1 – 4h response for all issues  Includes 25 incidents annually  $8,000 per machine annually

10 Dato Confidential 10 Package Extras Data Savvy Program Includes 15 - 1hr sessions throughout subscription Typical once/week for first month with monthly follow-up Covers:  Data Science best practices  Product Education  Modeling assistance & problem definition


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