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
11:15am11:55am Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Edd Wilder-James (Google)
AI techniques depend on massive amounts of data and powerful infrastructure, so understanding the demands of these techniques is essential to planning investments in software, computing resources, and personnel. Edd Wilder-James presents a road map for executives who are beginning to consider their strategies for implementing artificial intelligence in their critical processes. Read more.
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12:05pm12:45pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Jesse Anderson (Big Data Institute)
If you’re creating a data engineering team, there are common mistakes and patterns. These lead a data engineering team to either fail or perform at a much lower level. Early project success is predicated on management making sure the team is ready and has all of the skills needed. Read more.
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2:35pm3:15pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Ricky Barron (InfoStrategy)
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
Edd Wilder-James (Google)
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. Edd Wilder-James 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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5:05pm5:45pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Teresa Tung (Accenture Labs)
A data-driven enterprise maximizes the value of its data. But how do enterprises emerging from technology and organization silos get there? We use our experience helping our clients through this journey to create a data-driven enterprise maturity model that spans technology and business requirements. We will walk through use cases that bring the model to life. Read more.
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11:15am11:55am Thursday, December 7, 2017
Location: 328/329
Carme Artigas (Synergic Partners)
Big data technology is mature, but its adoption by business is slow, due in part to challenges like a lack of resources or the need for a cultural change. Carme Artigas explains why an analytics center of excellence (ACoE), whether internal or outsourced, is an effective way to accelerate the adoption and shares an approach to implementing an ACoE. 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), Kelly Schupp (Zaloni)
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 and Kelly Schupp share unbiased best practices to ensure your data is under control everywhere. Read more.
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4:15pm4:55pm Thursday, December 7, 2017
Location: 328/329 Level: Intermediate
Shirshanka Das (LinkedIn), Tushar Shanbhag (LinkedIn)
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 Thursday, December 7, 2017
Location: 328/329 Level: Intermediate
Mark Donsky (Cloudera), Steven Ross (Cloudera)
General Data Protection Regulation (GDPR) will go into effect in 2018 for firms doing any business in the EU. However many companies aren't prepared for the strict regulation or fines for noncompliance (up to €20 million or 4% of global annual revenue). This session will explore the capabilities your data environment needs in order to simplify GDPR compliance, as well as future regulations. Read more.