Transform 202o

When? July 15-16, 2020
Questions about Transform 2020? Contact us at events@venturebeat.com

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© 2020 VentureBeat Transform, the AI Conference of the Year.

July 10 - 11 | San Francisco | The Hilton, Union Square

IMPLEMENTING AI ACROSS YOUR ORGANIZATION

Transform 2019

Join the AI thought leaders for two days of powerful talks and unbeatable networking.

explore the stages

General session: Day One

Wednesday

July 10th

8:00 am

Registration and Breakfast presented by Bold360

9:00 am

Continental 1-4

Welcome - Stewart Rogers, Analyst-at-Large, VentureBeat

Opening Remarks - Matt Marshall, Founder & CEO, VentureBeat

9:15 am

Continental 1-4

Vanja Josifovski, CTO, Homes, Airbnb

Moderator: Matt Marshall, Founder & CEO, VentureBeat

Fireside Chat

9:40 am

Continental 1-4

Julie Choi, VP, Artificial Intelligence Products Group, Intel

Jessica Wang, VP Marketing, Mixpanel

Women in AI Breakfast Recap

9:50 am

Continental 1-4

10:15 am

Continental 1-4

AJ Abdallat, CEO, Beyond Limits

Moderator: Matt Marshall, Founder & CEO, VentureBeat

Fireside Chat

Kevin Scott, EVP & CTO, Microsoft

Moderator: Deepak Agarwal, VP of Artificial Intelligence, LinkedIn

Fireside Chat

10:40 am

Continental 1-4

Tech Showcase Demos

Companies: Cognitive Scale, Applied Brain Research, integrate.ai, AI Foundry, D-ID

11:10 am

Networking Break for industry verticals (Expo Ballroom):

  • Gaming

  • Manufacturing

  • Retail/Commerce

  • Finance

  • Health

  • Energy/Manufacturing 

  • Government

How to use AI efficiently across your entire organization

Professional social network LinkedIn has massive scale and is uses AI in just about every product feature. Now its “Pro-ML” project aims to equip all of its engineers with AI and Machine Learning tools, helped along by an “AI Academy,” a five-week training program. It’s VP of Artificial Intelligence, Deepak Agarwal, talks about how the company did it, and the results so far

 

Deepak Agarwal, VP of AI, LinkedIn & Souvik Ghosh, Principal Staff Engineer and Scientist, LinkedIn

PREZO

11:45 - 12:10 pm

Imperial B

Building a best-practice AI product platform: The story of Gap Inc.
In a little more than two and a half years, Gap Inc.’s Chris Chapo, SVP of Data and Analytics and his team have taken a major retail company with limited big data background through a journey towards implementing a best-practice advanced analytics and AI platform. Chapo will walk us through the discrete steps he took to start infusing AI products across the company, drilling down into examples of specific implementations, the results achieved, and lessons learned. They include optimizing website design and personalized recommendations, to customer loyalty and engagement. He’ll also touch on the talent refocus necessary (more data scientists embedded with the business!), the talent refocus necessary (more data scientists!), the type of IT stack required, and Gap Inc.'s creation of a culture of experimentation.
Chris Chapo, SVP of Data & Analytics, Gap, Inc.
PREZO

12:10 - 12:35 pm

Imperial B

Using AI to Safeguard Consumer Content and Feedback - Hosted by Trustpilot

In the age of distrust, where fake news, fake content, and fake reviews run rampant, learn how to use a consumer-first approach to AI to combat fraud and help ensure unbiased, authentic content. Whilst the AI/ML space is evolving rapidly and opening up tools to a new set of people, any model is only as good as its inputs and construction. Trustpilot has been a pathbreaker in this area of combating fake customer feedback - because its entire business revolves around trust, transparency, and authenticity. In this presentation, Trustpilot Chief Product Officer Ramin Vatanparast will share what’s been learned so that others can take away best practices. He’ll also articulate where AI and trust is headed, and how a “defensive” approach to combat fraud should and can happen in different languages, dialects, and cultural nuances.

 

Ramin Vatanparast, Chief Product Officer, Trustpilot

Moderator: Seth Colaner, AI Editor, VentureBeat

PRESENTATION

3:30 - 3:55 pm

Imperial B

What it means to be an ‘All-in data & AI company’: Stitch Fix
 
Stitch Fix, an online personal styling retailer, has been one of the most radically data-driven companies ever, with a 100 data scientists reporting to a Chief Algorithms Officer, who reports directly to the CEO. It even has its own Algorithms department that is not subordinate to other business lines. We hear from Stitch Fix about the latest results they can share, and how an AI-first company continues to evolve to stay ahead.
Brad Klingenberg, VP of Algorithms, Stitchfix
Moderator: Michele Goetz, Principal Analyst, Forrester Research
FIRESIDE CHAT 

3:55 - 4:20 pm

Imperial B

The Path to Digital Transformation

How do established companies best approach digital transformation, so that they can implement things like Machine Learning, AI and other data-driven strategies -- to stay on the cutting edge. Some companies with a strong technical heritage discuss how they are approaching this challenge.

Marc Leibowitz, Global Head, Digital, Johnson & Johnson,

Shelia Anderson, CIO, Corporate Functions Technology, Liberty Mutual

Moderator: Jaime Fitzgibbon, Innovation Strategist & Director of the San Francisco Innovation Hub, Booz Allen Hamilton

PANEL 

4:40 - 5:05 pm

Imperial B

5:30 pm

General session: Day two

Thursday

July 11th

8:00 am

9:05 am

Continental 1-4

9:10 am

Continental 1-4

Diversity, Equity and Inclusion Strategic Overview

Rodney Sampson, Chairman & CEO, Opportunity Hub

9:20 am

Continental 1-4

John Fremont, Co-Founder & Chief Strategy Officer, Hypergiant

Moderator: Heidi Messer, Cofounder and Chairperson, Collective[i]

Fireside Chat

9:45 am

Continental 1-4

Hilary Mason, GM, Machine Learning, Cloudera

Khari Johnson, Staff Writer, VentureBeat

Fireside Chat

10:15 am

Continental 1-4

10:40 am

Continental 1-4

Tech Showcase Demos

Companies: Skymind, Techsee, EngineML, Brainworks, Unravel

11:10 am

Networking Break for industry verticals (Expo Ballroom):

  • Gaming

  • Manufacturing

  • Retail/Commerce

  • Finance

  • Health

  • Energy/Manufacturing 

  • Government

VIP Advisory (invitation only) - location Franciscan B

Using AI for forecasting across your business

Transportation company Uber has built a platform that automatically tracks historic events and performance within the organization, that allows Uber forecast increasingly accurately across the organization — and thus make it more efficient. Franziska Bell, Director of Data Science at Uber, has led this project, and explains how other businesses can learn from the company’s experience. Businesses can build their own automated forecasting, relying on third-party open source solutions, and avoid hiring domain experts. While humans are still needed, businesses can now generate baselines from a suite of best-practice approaches, that are ten times better than having humans start on their own. Forecasting is then integrated into business intelligence tools that hundreds of users can use, generating forecasts with a push of a button.

Franziska Bell, Director, Data Science, Uber

PRESENTATION

11:45 - 12:10 pm

Imperial B

Using AI at scale with 100 percent reliability: Case study of a major defense contractor

Raytheon, a major U.S.-based defense contractor, designs and delivers military and commercial equipment and systems vital to national security. Raytheon’s mission is 100% systems reliability because misses, in missile systems and humanitarian aid, can mean unintended human casualties. As the Chief AI Officer, Dr. Shane Zabel, has been charged with increasing the understanding and quality use of AI across this massive corporation. In a moderated conversation, Zabel will share the AI approaches being used -- including where deep learning and its black box fit; how data is collected, organized and shared, if shared; how different AI models are trained; when explainability is paramount and when not; and how he’s teaching and leading the organization in their AI transformation, when the stakes are so high.

Dr. Shane Zabel, Chief AI Intelligence Officer, Raytheon,

Jana Eggers, CEO, Nara Logics

FIRESIDE CHAT

12:10 - 12:35 pm

Imperial B

How to implement AI at massive scale

An elite group of front-runners — Google, Microsoft, Amazon, Facebook, LinkedIn, Uber, Lyft, Airbnb, Twitter, Netflix — have built and scaled AI platforms to allow developers across their organizations to become more productive with ML and AI. This standardizes AI model training, deployment, production, and pipeline feature sharing — allowing AI projects to scale more easily. But it also requires harnessing data from the entire 3:50 pm organization. How do you collect and process data in the right databases and analytics systems -- and how do you make decisions amid this firehose of options? We hear from leaders at Lyft and Airbnb to about what are their latest steps in scaling an AI-first organization for 2020 and beyond.

 

Gil Arditi, Head of Product, Machine Learning, Lyft,

Jeff Feng, Product lead, Data, Airbnb

PANEL 

3:00 - 3:25 pm

Imperial B

How to take your AI platform to platform scale:
(eBay & e-commerce)
When companies first get started in AI & ML, they often start small, launching point applications, and then building out from there. But eventually they build out ML so that it touches almost their entire product, and they'll need to bring it together in a seamless way. eBay has been a frontrunner on this, having had Internet scale for years, and we hear from Sanjeev Katariya, VP and Chief Architect, eBay Platforms and AI, about just how eBay is going about it with its e-commerce platform. He touches on the tech stack eBay needed to build, from the hardware layer up, and how scale and cost has required the company to explore innovation in areas (even at the chip layer) that has often been assumed non-core. He'll discuss the organizational -- including talent -- considerations needed to build out AI, and also caution on some of the pitfalls you should avoid.

Sanjeev Katariya, VP of Platforms and AI, eBay

Moderator: Maribel Lopez, Founder & Principal Analyst, Lopez Research

FIRESIDE CHAT

3:25 - 3:55 pm

Imperial B

3:30 pm - 5:00 pm

Yosemite C

Diversity, Equity and Inclusion in AI Roundtable

Hosted by: Rodney Sampson, Founder & CEO, OHUB

3:50 pm

Break presented by Bold 360

Adopting AI / ML and Avoiding Pitfalls Along the Way - Hosted by Blue Data
Why are enterprises in every industry adopting Artificial Intelligence and Machine Learning? Is it really all about killer robots and mobile phone assistants? What does AI / ML really mean for your organization? What does it take to build and develop AI-based solutions to drive competitive advantage? We’ll dive into criteria for success with AI / ML, building and developing AI / ML solutions and how to avoid common mistakes and pitfalls.

Victor Ghadban, Field CTO, AI/ML, BlueData

PREZO

4:10 - 4:35 pm

Imperial B

How to harness massive real-time data streams for AI: Understanding mobile customers at scale - Hosted by fonYou

Data is king, not algorithms. Managing huge data streams in real-time is already transforming entire industries. In this talk, we will walk through the engineering and deployment of an advanced cloud AI platform that handles petabyte data streams daily. We will illustrate the points made by focusing on the capability to predict mobile user behavior to a highly detailed, granular level.

Fernando Nunez-Mendoza, Co-Founder, CEO & CTO, fonYou

PREZO 

4:35 - 5:00 pm

Imperial B