Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Strata Business Summit

Make data work for business.

Tailored for executives, business leaders, and strategists, Strata Business Summit is the missing MBA for data-driven business.

From banking to biotech, retail to government, entertainment to energy—every sector is changing in the face of abundant data. And fundamentally, data should serve the strategic imperatives of the business.

Keynote Speakers

Tim O'Reilly

Tim O'Reilly

Founder and CEO, O'Reilly Media, Inc.

Using AI to Create New Jobs

Aurélie Pols

Aurélie Pols

Mind Your Group by Mind Your Privacy

Keynote with Aurélie Pols

At Strata Business Summit, learn how some of the world’s leading companies build successful data strategies. You’ll discover game-changing technologies and their business applications—and how to move your enterprise forward to bridge the gap. You'll also receive a hand-picked lineup of executive briefings on key issues such as: predictive analytics and machine learning, Cloud strategy, governance security and privacy, IoT, and artificial intelligence, and more.

In just 3 days, you’ll have the intel you need to build strategies and data-driven business models that deliver customer insight, drive efficiency and innovation in products & services, modernize architecture, reduce costs, and lower risk.

Gold and Silver pass holders have access to Strata Business Summit on Tues–Thurs. Platinum and Bronze pass holders have access to Strata Business Summit on Wed–Thurs.

Tuesday 23 May: Tutorials (Gold & Silver passes)
Location: Capital Suite 12 Location: Capital Suite 14 Location: Capital Suite 15
12:30 | Location: Capital Suite Foyer
Lunch
17:00 | Location: Capital Hall
Opening Reception
Wednesday 24 May: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: Capital Suite 15/16 Location: Capital Suite 17
9:00 | Location: Auditorium
Strata Data Conference Keynotes
10:45 | Location: Capital Hall
Morning Break
12:45 | Location: Capital Hall (N24)
Strata Business Summit Lunch
15:35 | Location: Capital Hall
Afternoon Break
18:05 | Location: Capital Hall
Exhibit Hall Reception
19:05
Dinner | Location: On your own
20:00 | Location: TBD
Data after Dark
Thursday 25 May: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: Capital Suite 17
9:00 | Location: Auditorium
Strata Data Conference Keynotes
10:45 | Location: Capital Hall
Morning Break
12:45 | Location: Capital Hall (N24)
Strata Business Summit Lunch
15:35 | Location: Capital Hall
Afternoon Break
Add to your personal schedule
9:0012:30 Tuesday, 23 May 2017
Location: Capital Suite 14
Shannon Cutt (O'Reilly Media, Inc.), Sanjay Mathur (Silicon Valley Data Science), Jim Scott (MapR Technologies, Inc.), Ellen Friedman (Independent), Martin Goodson (Evolution AI), Majken Sander (TimeXtender), Darren Cook (QQ Trend Ltd.)
Data 101 introduces you to core principles of data architecture, teaches you how to build and manage successful data teams, and inspires you to do more with your data through real-world applications. Setting the foundation for deeper dives on the following days of Strata Data Conference, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems. Read more.
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9:0012:30 Tuesday, 23 May 2017
Location: Capital Suite 15
Doron Reuter (ING), Aida Mehonic (ASI Data Science), Colin White (Goldman Sachs), Simon Wardley (Leading Edge Forum), Tanvi Singh (Credit Suisse)
Finance is information. From analyzing risk and detecting fraud to predicting payments and improving customer experience, data technologies are transforming the financial industry. And we're diving deep into this change with a new day of data-meets-finance talks, tailored for Strata Data Conference events in the world's financial hubs. Read more.
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13:3017:00 Tuesday, 23 May 2017
Location: Capital Suite 14
Level: Beginner
Amit Kapoor (narrativeVIZ Consulting), Bargava Subramanian (Red Hat)
Average rating: ***..
(3.50, 2 ratings)
Crafting interactive data visualizations for the web is hard—you're stuck using proprietary tools or must become proficient in JavaScript libraries like D3. But what if creating a visualization was as easy as writing text? Amit Kapoor and Bargava Subramanian outline the grammar of interactive graphics and explain how to use declarative markdown-based tool Visdown to build them with ease. Read more.
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13:3017:00 Tuesday, 23 May 2017
Location: Capital Suite 15
Allison Nau (Cox Automotive UK), Sriskandarajah Suhothayan (WSO2), Roland Major (Transport for London), Denis C. Bauer (Commonwealth Scientific and Industrial Research Organisation), Alberto Rey (easyJet PLC), Alistair Croll (Solve For Interesting), Wael Elrifai (Pentaho)
In a series of 6 half-hour talks aimed at a business audience, you’ll hear data-themed case studies from household brands and global companies, explaining the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
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13:3017:00 Tuesday, 23 May 2017
Location: Capital Suite 12
Level: Intermediate
Scott Kurth (Silicon Valley Data Science), John Akred (Silicon Valley Data Science)
Average rating: ****.
(4.00, 1 rating)
Big data and data science have great potential for accelerating business, but how do you reconcile the business opportunity with the sea of possible technologies? Data should serve the strategic imperatives of a business—those aspirations that will define an organization’s future vision. Scott Kurth and John Akred explain how to create a modern data strategy that powers data-driven business. Read more.
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10:1010:25 Wednesday, 24 May 2017
Location: Auditorium
Aurélie Pols (Mind Your Group by Mind Your Privacy)
Average rating: ****.
(4.00, 4 ratings)
You may have heard that a piece of legislation called the GDPR is looming. Aurélie Pols draws a broad philosophical picture of the data ecosystem we are all a part of before honing into the right to data portability, hopefully empowering you to reclaim your data subject rights. Read more.
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11:1511:55 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Level: Intermediate
Jack Norris (MapR Technologies)
Average rating: ***..
(3.50, 2 ratings)
Leading companies are integrating operations and analytics to make real-time adjustments to improve revenues, reduce costs, and mitigate risks. There are many aspects to digital transformation, but the timely delivery of actionable data is both a key enabler and an obstacle. Jack Norris explores how companies from Altitude Digital to Uber are transforming their businesses. Read more.
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11:1511:55 Wednesday, 24 May 2017
Location: Capital Suite 17
Nicolaus Henke (McKinsey & Company)
Nicolaus Henke explores what CEOs currently think about AI and explains how to drive adoption successfully across the enterprise. Read more.
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12:0512:45 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Level: Non-technical
Kim Nilsson (Pivigo)
Average rating: *****
(5.00, 1 rating)
More organizations are becoming aware of the value of data and want to get started and scaled up as quickly as possible. But how? Is it possible to get something useful done in five weeks? Kim Nilsson shares her experiences, both good and bad, delivering over 80 five-week data science projects to over 50 organizations, as well as some concrete tips on how to become a data star organization. Read more.
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12:0512:45 Wednesday, 24 May 2017
Location: Capital Suite 17
Manuel Sevilla (Capgemini)
Average rating: ****.
(4.00, 1 rating)
Manuel Sevilla shares real-world examples to illustrate the rules you need to keep in mind when designing your own cloud strategy. Read more.
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14:0514:45 Wednesday, 24 May 2017
Location: Capital Suite 17
This Executive Briefing is a part of the Strata Business Summit. Details to come. Read more.
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14:0514:45 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Level: Intermediate
Mark Madsen (Third Nature)
Average rating: ***..
(3.25, 4 ratings)
Building a data lake involves more than installing and using Hadoop. The goal in most organizations is to build multiuse data infrastructure that is not subject to past constraints. Mark Madsen discusses hidden design assumptions, reviews design principles to apply when building multiuse data infrastructure, and provides a reference architecture. Read more.
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14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Level: Non-technical
Duncan Ross (TES Global), Emma Prest (DataKind)
Average rating: ****.
(4.00, 1 rating)
Since its creation, DataKind has helped charities do some fantastic things with data science through volunteers from the data science community (that's you!). But charities often don't know what to do next. Duncan Ross and Emma Prest share lessons learned from DataKind's projects and outline a data maturity model for doing good with data. Read more.
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14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 17
Aurélie Pols (Mind Your Group by Mind Your Privacy)
The EU's General Data Protection Regulation is an ambitious legal project to reinstate the rights of "data subjects" within an increasingly lucrative data ecosystem. Aurélie Pols explores the legal obligations on companies and their respective interpretations and looks at how scale and integrity will be safeguarded in the data we increasingly base decisions upon in the long term. Read more.
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16:3517:15 Wednesday, 24 May 2017
Location: Capital Suite 17
Level: Beginner
Mark Madsen (Third Nature)
In 2007, a computer game company decided to jump ahead of competitors by capturing and using data created during online gaming, but it wasn't prepared to deal with the data management and process challenges stemming from distributed devices creating data. Mark Madsen shares a case study that explores the oversights, failures, and lessons the company learned along its journey. Read more.
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16:3517:15 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Level: Beginner
Yuval Dvir (Google)
In an era when we are bombarded with data and tasks to finish, our ability to focus our attention becomes critical. When 70% of our code is for DevOps purposes and 90% of our data is dark, the cloud is a welcome, secure, and efficient relief. Yuval Dvir refutes common misconceptions about the cloud and explains why it's not a matter of "if" but "when" you'll move to the cloud. Read more.
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17:2518:05 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Secondary topics:  AI, Text Analysis and Mining
Level: Non-technical
Adam Smith (Automated Insights)
Average rating: ***..
(3.00, 1 rating)
Natural language generation, the branch of AI that turns raw data into human-sounding narratives, is coming into its own in 2016. Adam Smith explores the real-world advances in NLG over the past decade and then looks ahead to the next. Computers are already writing finance, sports, ecommerce, and business intelligence stories. Find out what—and how—they’ll be writing by 2026. Read more.
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17:2518:05 Wednesday, 24 May 2017
Location: Capital Suite 17
Level: Non-technical
Carme Artigas (Synergic Partners)
Average rating: ***..
(3.00, 2 ratings)
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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10:2010:40 Thursday, 25 May 2017
Location: Auditorium
Tim O'Reilly (O'Reilly Media)
Average rating: ****.
(4.60, 5 ratings)
The history of technology shows that while new technology has always destroyed jobs, it has also created new ones, in part because it makes things that were previously too expensive cheap enough to expand demand. Tim O'Reilly explains how AI will make currently unthinkable things possible. If we put it to work properly, it can lead to prosperity. Read more.
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11:1511:55 Thursday, 25 May 2017
Location: Capital Suite 15/16
Secondary topics:  AI
Level: Non-technical
Martin Goodson (Evolution AI), Andrew Crisp (Dun & Bradstreet)
Average rating: ****.
(4.00, 1 rating)
Martin Goodson gives a tell-all account of an ultimately successful installation of a deep learning system in an enterprise environment. Andy Crisp then shares insights into the challenges of integrating artificial intelligence systems into real-world business processes. Read more.
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12:0512:45 Thursday, 25 May 2017
Location: Capital Suite 17
Level: Beginner
Paco Nathan (O'Reilly Media)
Average rating: ***..
(3.00, 1 rating)
O'Reilly recently launched Oriole, a new learning medium for online tutorials that combines Jupyter notebooks, video timelines, and Docker containers run on a Mesos cluster, based the pedagogical theory of computable content. Paco Nathan explores the system architecture, shares project experiences, and considers the impact of notebooks for sharing and learning across a data-centric organization. Read more.
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14:5515:35 Thursday, 25 May 2017
Location: Capital Suite 17
Level: Intermediate
Iñaki Puigdollers (Social Point)
Low cost, big impact: this is what data science can bring to your business. Iñaki Puigdollers explores how the analytics department changed Social Point games, creating an even better gaming experience and business. Read more.
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16:3517:15 Thursday, 25 May 2017
Location: Capital Suite 17
Level: Intermediate
John Akred (Silicon Valley Data Science)
Valuing data can be a headache. The unique properties of data make it difficult to assess its overall value using traditional valuation approaches. John Akred discusses a number of alternative approaches to valuing data within an organization for specific purposes so that you can optimize decisions around its acquisition and management. Read more.