Sep 23–26, 2019

Schedule: Executive Briefing and best practices sessions

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9:00am12:30pm Tuesday, September 24, 2019
Location: 1A 10
Secondary topics:  Culture and Organization
Rossella Blatt Vital (Wonderlic), Ross Piper (Wonderlic), Daniel Schmerling (Wonderlic)
Creating and leading a successful ML strategy is an elegant orchestration of many components: master key ML concepts, operationalize ML workflow, prioritize highest-value projects, build a high-performing team, nurture strategic partnerships, align with the company’s mission, etc. Rossella Blatt Vital details insights and lessons learned in how to create and lead a flourishing ML practice. Read more.
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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 08
Alistair Croll (Solve For Interesting), Jennifer Yang (Wells Fargo ECS), Brian Lynch (TD Bank Group), Dan Barker (RSA Security), Rochelle March (Trucost), Catherine Gu (Stanford University), Karan Jaswal (Cinchy), Moto Tohda (Tokyo Century (USA)), Viridiana Lourdes (Ayasdi), Peter Swartz (Altana Trade), Mikheil Nadareishvili (TBC Bank)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
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1:30pm5:00pm Tuesday, September 24, 2019
Location: 1A 10
Secondary topics:  Culture and Organization
Alexander Izydorczyk (Coatue Managment), Benjamin Singleton (JetBlue), Joshua Poduska (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. The speakers explore how leading organizations take a holistic approach to people, process, and technology to build a sustainable advantage. Read more.
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11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  Culture and Organization
Brian Dalessandro (Capital One)
While data science value is well recognized within tech, experience across industries shows that the ability to realize and measure business impact is not universal. A core issue is that data science programs face unique risks many leaders aren’t trained to hedge against. Brian Dalessandro addresses these risks and advocates for new ways to think about and manage data science programs. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 10/11
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. Michael Stonebraker shares his top 10 big data blunders. Read more.
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2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 10/11
Secondary topics:  Ethics
Farrah Bostic (The Difference Engine)
We're 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 pseudoscience—often with unforeseen societal consequences. Farrah Bostic looks at historical—and sometimes funny—examples of sacrificing understanding for "data." Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 10/11
Andrew Brust (Blue Badge Insights | ZDNet)
Andrew Brust provides a primer on data catalogs and a review of the major vendors and platforms in the market. He examines the use of data catalogs with classic and newer data repositories, including data warehouses, data lakes, cloud object storage, and even software and applications. You'll learn about AI's role in the data catalog world and get an analysis of data catalog futures. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 10/11
Alasdair Allan (Babilim Light Industries)
The arrival of a new generation of smart embedded hardware may cause the demise of large-scale data harvesting. In its place, smart devices will let us process data at the edge and extract insights without storing potentially privacy and GDPR infringing data. Join Alasdair Allan to learn why the current age where privacy is no longer "a social norm" may not long survive the coming of the IoT. Read more.
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1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:  Culture and Organization, Ethics
Keegan Hines (Capital One)
This talk will explore some of the philosophy around the concept of explaining a model given the colloquial definition is partially recursive. It will cover the lens banking regulation places on this philosophical basis and expand into techniques used for these well governed aspects. Read more.
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1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 14
James Kotecki (Infinia ML)
Miscommunication between business leaders and technical experts can doom even the best data science project. Don’t let it drive you insane! In this session, we’ll dissect many flavors of communication failure, from goal misalignment to technical misunderstanding. Then, we’ll explore practical ways to bridge these gaps. Read more.
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4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 10/11
Dean Wampler (Lightbend)
Dean Wampler dives into how (and why) to integrate ML into production streaming data pipelines and to serve results quickly; how to bridge data science and production environments with different tools, techniques, and requirements; how to build reliable and scalable long-running services; and how to update ML models without downtime. Read more.
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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.

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