Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Executive Briefings

September 27-28, 2017
New York, NY

Mike Olson, Cloudera

Program Host | Executive Briefings Schedule

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.

About your host

Paco Nathan leads the Learning group at O'Reilly Media. Known as a "player/coach" data scientist, Paco led innovative data teams building ML apps at scale for several years and more recently was evangelist for Apache Spark, Apache Mesos, and Cascading. Paco has expertise in machine learning, distributed systems, functional programming, and cloud computing with 30+ years of tech-industry experience, ranging from Bell Labs to early-stage startups. Paco is an advisor for Amplify Partners and was cited in 2015 as one of the top 30 people in big data and analytics by Innovation Enterprise. He is the author of Just Enough Math, Intro to Apache Spark, and Enterprise Data Workflows with Cascading.

Schedule for Executive Briefings

Wednesday September 27: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 1E 12/13
8:45 | Location: 3E
Strata Data Conference Keynotes
12:00pm
Lunch
6:05pm | Location: Expo Hall
Booth Crawl
7:30pm | Location: 230 Fifth Penthouse
Data After Dark
Thursday September 28: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 1E 12/13
8:45 | Location: 3E
Strata Data Conference Keynotes
12:00pm
Lunch
Add to your personal schedule
11:20am12:00pm Wednesday, September 27, 2017
Location: 1E 12/13
Michael Chui (McKinsey Global Institute)
Average rating: ****.
(4.00, 7 ratings)
After decades of extravagant promises, artificial intelligence is finally starting to deliver real-life benefits to early adopters. However, we're still early in the cycle of adoption. Michael Chui explains where investment is going, patterns of AI adoption and value capture by enterprises, and how the value potential of AI across sectors and business functions is beginning to emerge. Read more.
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1:15pm1:55pm Wednesday, September 27, 2017
Location: 1E 12/13 Level: Non-technical
Alysa Z. Hutnik (Kelley Drye & Warren LLP)
Average rating: *****
(5.00, 2 ratings)
Big data promises enormous benefits for companies. But what about privacy, data protection, and consumer laws? Having a solid understanding of the legal and self-regulatory rules of the road are key to maximizing the value of your data while avoiding data disasters. Alysa Hutnik shares legal best practices and practical tips to avoid becoming a big data “don’t.” Read more.
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2:05pm2:45pm Wednesday, September 27, 2017
Location: 1E 12/13
Ashish Verma (Deloitte)
Average rating: ***..
(3.60, 5 ratings)
Ashish Verma explores the challenges organizations face after investing in hardware and software to power their analytics projects and the missteps that lead to inadequate data practices. Ashish explains how to course-correct and implement an insight-driven organization (IDO) framework that enables you to derive tangible value from your data faster. Read more.
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2:55pm3:35pm Wednesday, September 27, 2017
Location: 1E 12/13
Andy Mauro (Automat)
Average rating: ****.
(4.50, 2 ratings)
Andy Mauro explains why the last 15 years of digital marketing was really about monitoring customers and how recent advancements in artificial intelligence and the dominance of messaging as the primary consumer channel provide an opportunity to achieve every marketer's dream of simply talking to customers—providing a personalized experience that drives engagement, brand loyalty, and conversions. Read more.
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4:35pm5:15pm Wednesday, September 27, 2017
Location: 1E 12/13
Edd Wilder-James (Google)
Average rating: ****.
(4.00, 2 ratings)
Edd Wilder-James outlines 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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5:25pm6:05pm Wednesday, September 27, 2017
Location: 1E 12/13
Jason McIntyre (Accenture), Mark Milazzo (Accenture)
Whether you are a technology or a services provider, understanding your value in the ecosystem and focusing on the right partners to reach your market goals is critical. Jason McIntyre and Mark Milazzo share examples of teaming models and leading practices for accelerating value from your ecosystem strategy. Read more.
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11:20am12:00pm Thursday, September 28, 2017
Location: 1E 12/13
Hilary Mason (Fast Forward Labs)
Average rating: *****
(5.00, 3 ratings)
Progress in machine learning has led us to believe we might soon be able to build machines that talk to us using the same interfaces that we use to talk to each other: natural language. But how close are we? Hilary Mason explores the current state of natural language technologies and some applications where this technology is thriving today and imagines what we might build in the next few years. Read more.
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1:15pm1:55pm Thursday, September 28, 2017
Location: 1E 12/13
Mike Olson (Cloudera)
Average rating: ****.
(4.50, 2 ratings)
Mike Olson 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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2:05pm2:45pm Thursday, September 28, 2017
Location: 1E 12/13
Carme Artigas (Synergic Partners)
Average rating: ****.
(4.80, 5 ratings)
Big data technology is mature, but its adoption by business is slow, due in part to challenges like a lack of resources and 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 adoption and shares an approach to implementing an ACoE. Read more.
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2:55pm3:35pm Thursday, September 28, 2017
Location: 1E 12/13 Level: Non-technical
Average rating: *****
(5.00, 4 ratings)
Organizations need a process and supporting frameworks to become more effective at leveraging data and analytics to transform their business models. Using the Big Data Business Model Maturity Index as a guide, William Schmarzo demonstrates how to assess business value and implementation feasibility with respect to the monetization potential of an organization’s business use cases. Read more.
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4:35pm5:15pm Thursday, September 28, 2017
Location: 1E 12/13 Level: Intermediate
Ted Malaska (Blizzard Entertainment), Jonathan Seidman (Cloudera)
Average rating: ***..
(3.00, 2 ratings)
Recent years have seen dramatic advancements in the technologies available for managing and processing data. While these technologies provide powerful tools to build data applications, they also require new skills. Ted Malaska and Jonathan Seidman explain how to evaluate these new technologies and build teams to effectively leverage these technologies and achieve ROI with your data initiatives. Read more.