Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore

Executive Briefings

Data has become an essential driver of value at every company.

The Executive Briefings at Strata Business Summit offer a broad, high-level overview of the most critical topics in data including recent technical progress in data science and big data—from emerging technologies in artificial intelligence to essential guidelines for creating a data-driven corporate culture.

The Executive Briefings include actionable frameworks that executives can immediately apply to their own work. These presentations at the Strata Business Summit focus on managerial discussion and will be accessible to a wide range of practitioners and generalists.

Schedule for Executive Briefings

Wednesday December 6: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 328/329
8:50 | Location: Hall 404AXF
Strata Data Conference Keynotes
12:45pm
Wednesday Topic Tables at Lunch
5:45pm | Location: Sponsor Pavilion
Sponsor Pavilion Reception
Thursday December 7: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 328/329
8:50 | Location: Hall 404AXF
Strata Data Conference Keynotes
12:45pm
Thursday Topic Tables at Lunch
Add to your personal schedule
12:05pm12:45pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Jesse Anderson (Big Data Institute)
Average rating: ****.
(4.00, 3 ratings)
Early project success is predicated on management making sure a data engineering team is ready and has all of the skills needed. Jesse Anderson outlines five of the most common nontechnology reasons why data engineering teams fail. Read more.
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2:35pm3:15pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Ricky Barron (InfoStrategy)
Average rating: ****.
(4.67, 3 ratings)
To many organizations, big data analytics is still a solution looking for a problem. Ricky Barron shares practical methods for getting the best out of your big data analytics capability and explains why establishing an "insights group" can improve the bottom line, drive performance, optimize processes, and create new data-driven products and solutions. Read more.
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4:15pm4:55pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
John Akred (Silicon Valley Data Science)
AI is white-hot at the moment, but where can it really be used? Developers are usually the first to understand why some technologies cause more excitement than others. John Akred relates this insider knowledge, providing a tour through the hottest emerging data technologies of 2017 to explain why they’re exciting in terms of both new capabilities and the new economies they bring. Read more.
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4:15pm4:55pm Wednesday, December 6, 2017
Location: 323 Level: Intermediate
Shirshanka Das (LinkedIn), Tushar Shanbhag (LinkedIn)
Average rating: ***..
(3.33, 3 ratings)
LinkedIn houses the most valuable professional data in the world. Protecting the privacy of member data has always been paramount. Shirshanka Das and Tushar Shanbhag outline three foundational building blocks for scalable data management that can meet data compliance regulations: a central metadata system, an integrated data movement framework, and a unified data access layer. Read more.
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5:05pm5:45pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Teresa Tung (Accenture Labs)
Average rating: ****.
(4.50, 4 ratings)
A data-driven enterprise maximizes the value of its data. But how do enterprises emerging from technology and organization silos get there? Teresa Tung explains how to create a data-driven enterprise maturity model that spans technology and business requirements and walks you through use cases that bring the model to life. Read more.
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5:05pm5:45pm Wednesday, December 6, 2017
Location: 323 Level: Intermediate
Mark Donsky (Okera), Steven Ross (Cloudera)
In May 2018, the General Data Protection Regulation (GDPR) goes into effect for firms doing business in the EU, but many companies aren't prepared for the strict regulation or fines for noncompliance (up to €20 million or 4% of global annual revenue). Steven Ross and Mark Donsky outline the capabilities your data environment needs to simplify compliance with GDPR and future regulations. Read more.
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12:05pm12:45pm Thursday, December 7, 2017
Location: 328/329
Mick Hollison (Cloudera)
Mick Hollison shares examples of real-world machine learning applications, explores a variety of challenges in putting these capabilities into production—the speed with with technology is moving, cloud versus in-data-center consumption, security and regulatory compliance, and skills and agility in getting data and answers into the right hands—and outlines proven ways to meet them. Read more.
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2:35pm3:15pm Thursday, December 7, 2017
Location: 328/329 Level: Beginner
Nikki Rouda (Cloudera)
Managing the security and governance of big data can be challenging on-premises but becomes far more difficult in a heterogeneous environment spanning a public cloud or across multiple cloud services. Nikki Rouda shares unbiased best practices to ensure your data is under control everywhere. Read more.