Transform 2019


Where? The Hilton, Union Square, Downtown San Francisco When? July 10-11, 2019
Questions about Transform 2019? Contact us at events@venturebeat.com

  • Facebook Basic Black
  • Twitter Basic Black
  • Black Instagram Icon

#vbtransform

© 2019 VentureBeat Transform, the AI Conference of the Year.

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

COMPUTER VISION

Transform 2019

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

explore the stages

computer vision

Using AI to understand style

We hear from Mike Fisher, CTO of Etsy, a fast-growing e-commerce marketplace, about how the company is making very specific, targeted investments in AI in areas where other players are not active. Specifically, Etsy is using computer vision technology to understand the meaning of style, so that it can offer up results that match a user’s particular style interests. Fisher will explain how Etsy relies on third-party technology in other areas, and how it scales its data science organization, which is more than tripling every year. Learn how Etsy has leveraged AI to increase its gross merchandise sales by hundreds of millions of dollars over the past two years.

Mike Fisher, CTO, Etsy

Moderator: Lauren Kunze, CEO, PandoraBots

FIRESIDE CHAT

11:45 - 12:10 pm

Plaza A

The move to ‘explainable’ AI

When your deep learning algorithm for computer vision has millions or even billions of parameters, it’s difficult to know exactly why your algorithm is making a decision. With the concern around bias of data sets, though, there’s a move afoot to make more decisionmaking explainable. We hear from a few brand practitioners how they are doing this.

Robinson Piramuthu, Chief Scientist for Computer Vision, eBay,

Dr. Colin J. Parris, Vice President, GE Software Research, GE

Moderator: Nicole Alexander, SVP, Chief Innovation Expert, Ipsos

PANEL 

12:10 - 12:35 pm

Plaza A

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

Royal Caribbean & Computer Vision: Finding Balance with Humans & Algorithms - Levatas

While Computer Vision is an exciting frontier, many businesses are struggling to deploy successful implementations. AI solutions firm Levatas will walk through common challenges in computer vision and how to solve for them, using case studies from their clients including Royal Caribbean. Learn how to uncover value faster and how to scale implementation with your team by using a human-in-the-loop approach to AI.

Matt Denesuk, SVP, Data Analytics & AI, Royal Caribbean,

Daniel Bruce, Chief AI Officer, Levatas,

David Milone, Project Manager & Lead UX Strategist, Levatas

PREZO

3:30 - 4:05 pm

Plaza A

The amazing improvements in image recognition

In 2019, companies and researchers continued to make significant breakthroughs in computer vision and image recognition algorithms, allowing them to find better and more efficient ways to find meaning. It’s led to Tesla’s surprising announcement that it will have L4 self-driving cars by next year, and companies like Zillow to make strides in valuing homes more accurately and efficiently than ever before. We hear an overview of leading algorithm and results changes, and what they mean for the rest of the industry.

Jasjeet Thind, VP of Artificial Intelligence, Zillow, 

Chuck Rosenberg, Head of Computer Vision, Pinterest

Moderator: Cathy Hackl, Futurist, AR VR Author + Enterprise Strategy at Magic Leap

PANEL 

4:05 - 4:30 pm

Plaza A

Visual search in ecommerce

We hear from two brands about how they let users search for content with visual search. For example, if a user sees some cool jeans worn by a movie star on social media, they can take a screenshot of that picture, and search for those jeans at the retailer. Pinterest, Wayfair and other sites are leading the way. Increasingly, retailers are using chatbots, too. Pathbreakers built technology in-house, using convolutional neural networks, but now tech providers are helping offer this technology too.

Daniel Wulin, Head of Data Science & Machine Learning, Wayfair

Stephanie Rogers, Senior Product Manager, Recommendations, Pinterest

Moderator: Sam Charrington, Host, This Week in Machine Learning & AI Podcast

PANEL 

4:40 - 5:05 pm

Plaza A

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

The latest facial recognition tech, and its moral crisis

In this panel we provide a balanced view of the issue of facial recognition tech, and its morality from the technology and policy side, and in a moderated conversation that will include two CEOs from leading hi-tech companies. This includes a debate around policy vs. public privacy/security. Matt Zeiler, CEO of one of Silicon Valley's cutting edge companies in facial recognition, Clarifai, will unveil the latest iteration of its facial recognition software, to show where this powerful technology is going. He'll argue that policing and other organizations absolutely need to use this software to stay ahead of the bad guys. On the other hand, Gil Perry, Co-founder and CEO of D-ID will present his company's solution for protecting identities from automated face-recognition engines. Gil will argue the need to control and regulate facial recognition, especially as it became a tool for marketers and invaders of our basic right to privacy.

Matt Zeiler, CEO, Clarifai, Gil Perry, CEO and Founder, D-ID

Moderator: Nicole Alexander, SVP, Chief Innovation Expert, Ipsos

PANEL 

12:10 - 12:35 pm

Plaza A

Deploying Deep Learning 101

Deep Learning has taken the world by storm and has become something of a buzzword in recent years. Developers and companies all around the world are either pitching themselves as providing artificial intelligent applications or planning to heavily invest in AI and Deep Learning to accelerate the growth of their business and transform every aspect of it. Let’s spend a half-hour learning about the mechanics of deep learning, building an AI machine from scratch, and deploying to production.

Yosi Taguri, Co-Founder, Head of MissingLink.ai

PREZO

3:00 - 3:25 pm

Plaza A

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

The New Wave in Robot Grasping

Robots are about to become far more dextrous based on a new wave in research that combines classical mechanics, stochastic, and deep learning. Despite 50 years of research in robotics, making robots less klutzy remains a Grand Challenge required for warehouse order fulfillment, home decluttering, and robot-assisted surgery. The First Wave of grasping research, still dominant, uses analytic methods based on screw theory and assumes exact knowledge of pose, shape, and contact mechanics. The Second Wave is empirical: purely data driven approaches which learn grasp strategies from many examples using techniques such as imitation and reinforcement learning with hyperparametric function approximation (Deep Learning). I'll present the Dexterity Network (Dex-Net), a New Wave that combines analytic and empirical approaches to rapidly synthesize massive training datasets that incorporate statistical analytic models of the inherent errors arising from physics, sensing, and control. Dex-Net can be applied to almost any combination of robots, bins, shelves, 3D sensors, and gripping devices and is achieving record-breaking performance in picks per hour on novel objects.

Ken Goldberg, Professor, UC Berkeley

PREZO

4:10 - 5:00 pm

Plaza A