Event schedule

Time : 16:00 - 16:15 CET | 10:00 - 10:15 AM ET | 7:00 - 7:15 AM PT

Welcome!

Get ready to kick off our virtual Entropy Conference with co-founder and CEO Salma Bakouk as she takes the stage for the first session!

Salma Bakouk

CEO

Time : 16:15 - 16:45 CET | 10:15 - 10:45 AM ET | 7:15 - 7:45 AM PT

Opening Keynote: Data ontologies from a business perspective

Data ontologies in data governance are essential for effective management of data assets from a business perspective. They facilitate informed decision-making, reduce costs, enhance operational efficiency, and ensure compliance with internal company policies in support of regulatory obligations. Organizations that use data ontologies in their data governance strategy are better positioned to succeed in the modern data-driven landscape.

Habib Basiri

Director, Product Management

Don Watters

Sr. Director, Data Architect

Time : 16:45 - 17:15 CET | 10:45 - 11:15 AM ET | 7:45 - 8:15 AM PT

In-N-Out Data – Is it any good?

Who isn't implementing data-driven initiatives? Consolidated reporting, forecasting, Machine Learning and many more use cases are built on data. Do you know if your data is trustworthy? What if it isn't?
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This session covers real-world examples of various approaches to develop data trust during the first step of a data pipeline — data replication. What can go wrong? A lot!

Mark Van de Wiel

Field CTO

Time : 17:15 - 17:30 CET | 11:15 - 11:30 PM ET | 8:15 - 8:30 AM PT

Break

Time : 17:30 - 18:00 CET | 11:30 AM - 12:00 PM ET | 8:30 - 9:00 AM PT

Data observability in action

Co-founder and CPO Wissem Fathallah and Head of Solutions Engineering Martin Zerbib will conduct a live demo of Sifflet and present the product roadmap, offering insights into the upcoming developments and features planned for the platform.

Wissem Fathallah

CPO

Martin Zerbib

Head of Solutions
Engineering

Time : 18:00 - 18:30 CET | 12:00 - 12:30 PM ET | 9:00 - 9:30 AM PT

Ship your data strategy like a product

When the business relies on data for fast answers, there's no time to roll everything out perfectly. But how do you decide what to build, buy, and change...and when?

In this session, we'll discuss learnings from thousands of data deployments to help you plan and prioritize for data change management so you can ship data and impact - efficiently - throughout your company lifecycle.