Sep 23–26, 2019

Schedule: Executive Briefing and best practices sessions

Add to your personal schedule
9:00am12:30pm Tuesday, September 24, 2019
Location: 1A 10
Secondary topics:  Culture and Organization
Rossella Blatt Vital (Wonderlic)
Creating and leading a successful ML strategy is an elegant orchestration of many components: master the key ML concepts, operationalize the ML workflow, prioritize highest value projects, build a high performing team, nurture strategic partnerships, align with the company’s mission, etc. This tutorial aims to share insights and lessons learned in how to create and lead a flourishing ML practice. Read more.
Add to your personal schedule
1:30pm5:00pm Tuesday, September 24, 2019
Location: 1A 10
Secondary topics:  Culture and Organization
Mac Steele (Domino Data Lab), Nick Elprin (Domino Data Lab)
The honeymoon era of data science is ending, and accountability is coming. Not content to wait for results that may or may not arrive, successful data science leaders must deliver measurable impact on an increasing share of an enterprise’s KPIs. Attendees will learn how leading organizations take a holistic approach to people, process, and technology to build a sustainable competitive advantage. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  Culture and Organization
Brian Dalessandro (SparkBeyond)
While Data Science value is well recognized within Tech, our experience with leaders across industries shows that the ability to realize and measure business impact is not universal. A core issue is DS programs face unique risks that many leaders aren’t trained to hedge against. This talk addresses these risks and advocates for new ways to think about and manage data science programs. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Culture and Organization, Data Management and Storage, Data, Analytics, and AI Architecture
Michael Stonebraker (Tamr, Inc.)
As a steward for your enterprise’s data and digital transformation initiatives, you’re tasked with making the right choice. But before you can make those decisions, it’s important to understand what NOT to do when planning for your organization’s Big Data initiatives. Dr Michael Stonebraker, Adjunct Professor, MIT, & Co-Founder/CTO, Tamr will discuss his Top 10 Big Data Blunders. Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Ethics
Farrah Bostic (The Difference Engine)
We are living in a culture obsessed with predictions. In politics and business, we collect data in service of the obsession. But our need for certainty and control leads some organizations to be duped by unproven technology or pseudo-science - often with unforeseen societal consequences. This talk looks at historical - and sometimes funny! - examples of sacrificing understanding for 'data'. Read more.
Add to your personal schedule
4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Data quality, data governance and data lineage
Andrew Brust (ZDNet | Blue Badge Insights)
A primer on data catalogs and review of the major vendors and platforms in the market. Includes discussion on the use of data catalogs with classic and newer data repositories, including data warehouses, data lakes, cloud object storage and even software/applications. Coverage of AI's role in the data catalog world and analysis of data catalog futures will be provided. Read more.
Add to your personal schedule
5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Data, Analytics, and AI Architecture, Privacy and Security
Alasdair Allan (Babilim Light Industries)
A arrival of new generation of smart embedded hardware may cause the demise of large scale data harvesting. In its place smart devices will allow us process data at the edge, allowing us to extract insights from the data without storing potentially privacy and GDPR infringing data. The current age where privacy is no longer "a social norm" may not long survive the coming of the Internet of Things. Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:  Culture and Organization, Ethics
David Castillo (Capital One)
The head of Capital One's Center for Machine Learning will share best practices for building a Responsible AI program in the enterprise, from multidisciplinary internal working groups to research & development. Read more.
Add to your personal schedule
4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:  Data, Analytics, and AI Architecture, Streaming and IoT
Dean Wampler (Lightbend)
Join me for a discussion of the following problems and their solutions: 1. How (and why) to integrate ML into production streaming data pipelines, to serve results quickly? 2. How to bridge data science and production environments, with different tools, techniques, and requirements? 3. How to build reliable and scalable, long-running services? 4. How to update ML models without downtime? Read more.
Add to your personal schedule
4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 14
Secondary topics:  Privacy and Security
Mark Donsky (Okera)
California is following the EU's GDPR with the California Consumer Protection Act (CCPA) in 2020. Penalties for non-compliance, but many companies aren't prepared for this strict regulation. This session will explore the capabilities your data environment needs in order to simplify CCPA and GDPR compliance, as well as other regulations. Read more.

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

strataconf@oreilly.com

For information on exhibiting or sponsoring a conference

Contact list

View a complete list of Strata Data Conference contacts