Instacart is challenging human computer interaction paradigms and how shopping is done for everyone. Instacart has traditionally been a platform to help users save time and reduce the 'physical labor' of going to a store for shopping. With recent advancements in AI natural language understanding and reasoning, we can expand our capabilities to also solve the 'mental labor' associated with shopping. We leverage Instacart's vast knowledge about food to help our users make informed decisions, making Instacart an indispensable part of their lives. We want users to interact with us through various modes such as natural language, voice, or visual inputs, with the added flexibility to refine and follow-up on their inputs. The goal is to capture and solve a broader cross-section of use-cases from our users, making their shopping experience more intuitive and satisfying.

Instacart Ads connect brands with consumers to help them discover products they will love. Our ads attract and engage customers at every stage of their shopping journey — from initial keyword search and aisle browsing through checkout. Our ads also help consumers discover new things to eat, leveraging their search and purchase history behavior to make informed recommendations. Our unique understanding of products and retailers enables us to drive innovation on ads in multiple ways including formats, quality, bidding, and measurement to deliver great results for our partners while concurrently providing a delightful experience to our end users.

We have just seen exponential change upend the world. The business of everything has gone virtual. We have never felt further from our friends, family, and business partners, and never felt more like we’re on our own islands. We came to see that what we need for the future of enterprise is not walls around the islands our data sits on, it’s safe passage between islands. We want to organize the world's information, across every public cloud, and make it universally accessible and useful.We aim to create a complete data operating system for storage, querying, and visualizing from any public cloud to any person. But more importantly, we aim to move the world away from complicated BI tools and into automated Machine Learning use-cases. The real value of recycling data is fueling future business activity using Machine Learning. We are taken by overwhelming curiosity, and a drive to understand the data that is out there. Our mission is for our clients to understand that data too, and to let it inspire them.

VideoAmp is the world's first integrated TV operating system for the convergence of the linear TV and digital video advertising ecosystems. Our software and data solution enables advertisers to plan, buy, and measure the success of de-duplicated and precisely targeted campaigns that reach linear TV, VOD, OTT, and digital audiences. The linear suite allows for the first time the ability to use digital data for the planning and allocation of upfront TV commitments within existing workflows. This extends to scatter and cross screen initiatives, all within the VideoAmp fully self-serve operating system for buyers and sellers. VideoAmp is backed by Mediaocean, RTL Group and six other top venture capital firms.

DoubleClick Bid Manager is a next-generation demand-side platform (DSP) from Google. Built on Google's global infrastructure and fully integrated in DoubleClick Digital Marketing, DoubleClick Bid Manager re-imagines programmatic buying to enable agencies and marketers to buy display media more effectively and efficiently from a single platform across exchanges in real time.

Wildfire, a division of Google, provides a social suite of products that help organizations of all sizes successfully build a social media presence across multiple social networks and on their website. Our customers range from small businesses to the largest brands including Victoria's Secret, Pepsi and Facebook itself. Over 300,000 campaigns have run on the Wildfire Platform since its product launch in August 2009. We have won multiple awards including: 2x winner of the fbFund, AlwaysOn Global 250, TIE50 2011/2012