spring summit 2017 - welcome and introduction - mb... · scalability, big data, cloud •lots of...

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Spring Summit 2017- Welcome and Introduction -

Michael Berthold

KNIME

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Predictive Analytics at Work

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Star Attendees

9: Takahiro Ohshima

8: Eugen DereteyJean-Christophe Mozziconacci

7: Klaus-Peter Huber Nils Weskamp

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Agenda

• Hot Topics and KNIME

• A Brief Look back at 2016

• The 2017 Spring Summit!

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Hot Topics:Modern AI in a Nutshell

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Recent Topics (NIPS)

• Reinforcement Learning

• Recurrent Neural Networks

• Graphical Models

• Learning Rates, Stochastic Gradient Descent, Weight Normalization...

• Autonomous Car Driving Demos

• Wait: that was 1997

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Recent Topics (NIPS 2016!)

• Reinforcement Deep Learning

• Recurrent Deep Networks

• Graphical Models

• Learning Rates, Stochastic Gradient Descent, Weight Normalization...

• Autonomous Car Driving Demos

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AI: Hype vs. Reality

“Temper Your Expectations, But Don’t Give Up On AI”

Mike Gualtieri (Forrester)

(pure AI is the hype, pragmatic AI is what we get)

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Boring Topic:Data Integration

Hot Topic:Data Blending

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Visual Data (and Tool!) Blending

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Will They Blend? blog post series

https://www.knime.org/blog/will-they-blend

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Hot(?) Topic:Scalability, Big Data, Cloud.

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Scalability, Big Data, Cloud

• Lots of Work on our Big Data Extensions

– New&Cooking: KNIME on Spark, H20 Integration

• Blending with / Connectors to Cloud Resources

• Cloud Deployments: Analytics Platform and Server

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Hot Topics:Guided Analytics

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How to make Data Science Useable?

• Black Box:Limited Applicability (narrow, well-defined tasks)

• Analytical (Workflow) Templates:Limited Audience (still requires Data Science!)

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Remember this?

DataScientist

BusinessAnalyst KNIME WebPortal

Feedback

Analytics withInteraction Points

Explanations

MoreExplanations

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How to make Data Science Useable?

• Black Box:Limited Applicability (narrow, well-defined tasks)

• Analytical Templates:Limited Audience (requires Data Science!)

• Guided Analytics =Workflows as Analytical Applications

Puts Business Analyst in Driver’s Seat(wearing a Safety Belt!)

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Guided Analytics at the Summit...

• What’s New and Cooking Sessions

– Lots of progress in 2016/17: WebPortal interactivity

• Two “KNIME Use Case” Talks on Thursday

– Greg Landrum for Life Science

– Rosaria Silipo for Customer Intelligence

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An Update on 2016...

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Analyst Updates

Rexer Analytics Data Science Survey

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New Members

• Katharina Koch

– Karl-Wilhelm

• Sabrina Reiner

• Arthur von Eschen

• Vincenzo Tursi

• Roland Burger

• Mihály Medzihradszky (Medzi)

• Christian Dietz

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Summit 2017Changes & Highlights

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New This Year:

• Parallel Tracks on Thursday Morning

• Tech Briefings

• KNIME Case Studies (this year: Guided Analytics)

• and a Panel

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During the Breaks: check out the Exhibition Area

Partners:• Dymatrix• EPAM (& Infomatix)• Datatroniq• Advanced Analytic

Services• GEMMACON• TIBCO• Microsoft• Consist

Partners (cont.)• Informationsfabrik• Schrödinger• Chemaxon / Infocom

and:• KNIME Demo Station

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Wednesday AM...

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...Wednesday PM...

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...Wednesday PM...

Busses leave Hotel at 6pmReturns starting at 10pm.Last bus at midnight!

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Thursday AM...

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...Thursday AM...

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...Thursday PM...

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...Thursday PM

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Friday AM Workshops

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Friday AM Workshops

Lunch Boxes available!

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Up Next?

2017 Fall SummitNovember 1-3, 2017. Austin, Texas.

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And now back to the Summit......have Fun!