BigQuery Innovation: A Selection of Case Studies

Name: BigQuery Innovation: A Selection of Case Studies
Start: 2023-01-17T09:00:00-08:00
End: 2023-01-17T10:00:00-08:00

Virtual

Jan 17, 2023, 5:00 – 6:00 PM

Virtual event

AI and Machine LearningData Analytics

Speakers

Bonnie Donovan

Google Cloud

Head of Ecosystem Growth & Partnership Management

Diana Sains

Tinyclues

Global Product Marketing

Tommaso Vaccarella

Connected-Stories

General Manager & Co-Founder

Henry Ehrenberg

Snorkel AI

Co-Founder

Arijit Sengupta

Aible

Founder & CEO

When

Tuesday, January 17, 2023
5:00 PM – 6:00 PM UTC

Agenda

Welcome and Intro	Bonnie Donovan, Head of Ecosystem Growth & Partnership Management, Google
Tinyclues	Diana Sains, Global Product Marketing, will discuss how reliance on explicit versus implicit signals plays out in the real world. For example, AirFrance needs to know that just because one customer flew to Finland last year, that doesn't explicitly mean they intend to go there again. This type of "explicit signal" is unreliable in predicting repeat customer behavior, and by relying on it AirFrance risks missing the customers who do intend to hightail it to Helsinki this year. But, with Tinyclues, AirFrance's first-party data can pinpoint unexpressed intent so the airline can accurately target customers and boost revenue at scale.
Aible	Arijit Sengupta, Founder and CEO, will discuss how you can deliver tangible impact from your analytics initiatives in 30 days with AI-first approaches that automate analytics and data engineering tasks. A real-world case study with Overstock.com shows how the company used Aible to improve speed to data-quality evaluation from weeks to minutes per dataset. The project took just five days from start to finish—including installation and integration with Overstock’s BigQuery—to executive review and acceptance of results.
Connected-Stories	Tommaso Vaccarella, General Manager and Co-Founder, will focus on Connected-Stories and its latest platform launch, NEXT, a disruptor and innovator in the ad technology landscape. As a Google Cloud-native end-to-end CMP built on a multimodal framework, Connected-Stories relies on BigQuery to process vast stores of data that help in every aspect of operations, from ad personalization to the creative intelligence materialized for analysis.
Snorkel AI	Henry Ehrenberg, Co-Founder, will explain how to Accelerate AI development by eliminating the pain of manual labeling. Snorkel AI empowers you to rapidly develop large, high-quality training datasets and ML models for use cases, including document intelligence, conversational analytics, and more. Learn how Genentech accelerated clinical trial screening with Snorkel AI’s data-centric approach to AI, and how combining Snorkel AI with BigQuery and the broader Google Cloud ecosystem powers even faster data-driven innovation.
Q&A and Closing Discussion