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

December 5-7, 2017
Singapore

Alistair Croll, Strata Conference Chair

The missing MBA for data-driven business.

Tailored for executives, business leaders, and strategists, you'll learn how some of the world's leading companies build modern data strategies. Discover game-changing technologies and their business applications—and concrete methodologies to move your company forward.

You'll also have access to a hand-picked lineup of Executive Briefings on key issues such as: artificial intelligence; predictive analytics and machine learning; cloud strategy; governance, security, and privacy; bot strategy and automation; and the Internet of Things.

Make data work for business

  • From banking to biotech, retail to government, entertainment to energy—every sector is changing in the face of abundant data. Executives need to make data serve the strategic imperatives of their business.
  • At Strata Business Summit, get the intel you need to build data strategies that drive efficiency and innovation in your business.

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

Keynote Speakers

Carme Artigas

Carme Artigas

Cofounder & Partner, Synergic Partners

Steve Leonard

Steve Leonard

Founding CEO, SGInnovate

Joshua Bloom

Joshua Bloom

VP Data & Analytics, GE Digital

Rhea Liu

Rhea Liu

China Tech Insights

All Strata Data Conference Gold and Silver passes have access to Strata Business Summit Tuesday-Thursday. Platinum and Bronze passes have access to Strata Business Summit Wednesday-Thursday.

Tuesday December 5: Tutorials (Gold & Silver passes)
Location: 310/311 Location: 323
12:30pm | Location: TBD
Lunch
Wednesday December 6: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 321/322 Location: 328/329 Location: 323
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: 321/322 Location: 328/329
8:50 | Location: Hall 404AXF
Strata Data Conference Keynotes
12:45pm
Thursday Topic Tables at Lunch
Add to your personal schedule
9:00am12:30pm Tuesday, December 5, 2017
Location: 310/311 Level: Non-technical
John Akred (Silicon Valley Data Science)
Average rating: *****
(5.00, 1 rating)
Big data, AI, and data science have great potential for accelerating business, but how do you reconcile 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. John Akred explains how to create a modern data strategy that powers data-driven business. Read more.
Add to your personal schedule
9:00am12:30pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), kyungtaak Noh (SK Telecom), Mike Prorock (mesur.io), Hugo Sheng (Qlik), Neil Hirano (Dotz), Leandro Andrade (Dotz), Praveen Deorani (Holmusk), Ted Malaska (Blizzard Entertainment), Mike Koelemay (Sikorsky Aircraft, Lockheed Martin)
In a series of half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain 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.
Add to your personal schedule
1:30pm5:00pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), Clifton Phua (NCS Group), Mark Donsky (Cloudera), Syed Rafice (Cloudera), Victor Chua (StarHub Ltd), Carme Artigas (Synergic Partners), Zhihao Lin (Teralytics)
The modern city is awash in data. Cheap sensors on cars, roads, and people give us a real-time understanding of traffic. We can track pollution, temperature, and climate with unerring precision. Satellite photographs reveal shade cover, property values, and building development. Read more.
Add to your personal schedule
9:30am9:45am Wednesday, December 6, 2017
Location: Hall 404AXF
Steve Leonard (SGInnovate)
Average rating: *****
(5.00, 1 rating)
Steve Leonard details how Singapore is bringing together ambitious and capable individuals and teams to imagine, start, build, and scale technology that can solve the world’s toughest challenges. Read more.
Add to your personal schedule
11:15am11:55am Wednesday, December 6, 2017
Location: 321/322 Level: Non-technical
John Akred (Silicon Valley Data Science), Mark Hunter (Sainsburys Bank)
Deploying machine learning in business requires far more than just selecting an algorithm. You need the right architecture, tools, and team organization to drive your agenda successfully. John Akred and Mark Hunter share practical advice on the technical and human sides of machine learning, based on experience preparing Sainsbury’s for its ML-enabled future. Read more.
Add to your personal schedule
11:15am11:55am Wednesday, December 6, 2017
Location: 328/329
Sachin Chitturu (McKinsey & Company)
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. Shilpa Aggarwal explains where investment is going, patterns of AI adoption, and how the value potential of AI across sectors and business functions is beginning to emerge in Asia. Read more.
Add to your personal schedule
12:05pm12:45pm Wednesday, December 6, 2017
Location: 321/322 Level: Beginner
Isaac Reyes (DataSeer)
Average rating: ****.
(4.00, 1 rating)
Isaac Reyes explores the art and science of data storytelling, covering the essential elements of a good data story, chart design and why it matters, the Gestalt principals of visual perception and how they can be used to tell better stories with data, and how to make over a poor visualization. Read more.
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: *****
(5.00, 1 rating)
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.
Add to your personal schedule
12:05pm12:45pm Wednesday, December 6, 2017
Location: 323 Level: Beginner
Average rating: ****.
(4.00, 1 rating)
For the first time, messaging apps have surpassed social networks in usage and growth. Mohammed Abdoolcarim shares best practices for designing for AI-based conversational UIs, such as those employed in messaging apps, drawn from work done at Apple, Google, and GoButler. Read more.
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1:45pm2:25pm Wednesday, December 6, 2017
Location: 321/322 Level: Non-technical
Amit Das (Think Analytics India)
Average rating: ****.
(4.00, 2 ratings)
Access to credit in emerging markets is impeded by issues around identity verification, risk assessment and monitoring, and the costs of underwriting and collections. At the core of it all is a lack of data. Amit Das explains how accessing alternate data, real-time risk monitoring and data access solutions, and smart analytics is changing the lending landscape in India. Read more.
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1:45pm2:25pm Wednesday, December 6, 2017
Location: 328/329 Level: Non-technical
Jessica Chen Riolfi (TransferWise)
Average rating: ****.
(4.00, 1 rating)
Data is essential to unlock growth opportunities, and successful companies use it in every decision. Jessica Chen Riolfi explains how to build an organization with decentralized, data-driven decision making that enables teams to focus on the products and features that matter and ultimately unlock exponential growth. Read more.
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1:45pm2:25pm Wednesday, December 6, 2017
Location: 323
Jesse Anderson (Big Data Institute)
We have an explosion of new architectures. Are these new architectures because engineers love new things or is there a good business reason for these changes? In this talk, we will consider these new architectures and the actual business problems they solve. You may find out that your team is far less productive if you don’t move to these architectures. Read more.
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2:35pm3:15pm Wednesday, December 6, 2017
Location: 321/322 Level: Intermediate
Eric Tham (National University of Singapore), Radha Pendyala (Thomson Reuters)
Average rating: *****
(5.00, 1 rating)
Graphical techniques are increasingly being used for big data. These techniques can be broadly classified into the three C's: centrality, clustering, and connectedness. Eric Tham explains how these concepts are applied to supply chain analysis and financial portfolio management. 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: 321/322 Level: Beginner
Benjamin Wright-Jones (Microsoft), Simon Lidberg (Microsoft)
Average rating: ****.
(4.00, 1 rating)
As organizations turn to data-driven strategies, they are also increasingly exploring the creation of a data science or analytic center of excellence (COE). Benjamin Wright-Jones and Simon Lidberg outline the building blocks of a center of excellence and describe the value for organizations embarking on data-driven strategies. Read more.
Add to your personal schedule
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.
Add to your personal schedule
4:15pm4:55pm Wednesday, December 6, 2017
Location: 323 Level: Intermediate
Shirshanka Das (LinkedIn), Tushar Shanbhag (LinkedIn)
Average rating: *****
(5.00, 1 rating)
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: *****
(5.00, 2 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 (Cloudera), 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.
Add to your personal schedule
8:55am9:10am Thursday, December 7, 2017
Location: Hall 404AXF
Carme Artigas (Synergic Partners)
Average rating: *****
(5.00, 1 rating)
The concept of smart cities has evolved from sensored urban centers to platform ecosystems that combine data with new technologies such as the IoT, the cloud, and AI. Carme Artigas explores the challenges and opportunities of evolving from smart cities to intelligent societies. Read more.
Add to your personal schedule
11:15am11:55am Thursday, December 7, 2017
Location: 321/322 Level: Beginner
Grace Tang (Uber)
Average rating: ****.
(4.50, 4 ratings)
Being a data-driven company means that we have to move fast and fail often. But how do we learn to not only be proud of our failures but also turn these fails into wins? Grace Tang explains how to set up experiments so that negative results become epic wins, saving your team time, effort, and money, instead of just being swept under the carpet. Read more.
Add to your personal schedule
11:15am11:55am Thursday, December 7, 2017
Location: 328/329
Carme Artigas (Synergic Partners)
Carme Artigas explains why an analytics center of excellence (ACoE), whether internal or outsourced, is an effective way to create mechanisms to deploy big data across the entire organization rather than simply serving a particular department or use case. Read more.
Add to your personal schedule
12:05pm12:45pm Thursday, December 7, 2017
Location: 321/322 Level: Beginner
John Mertic (The Linux Foundation), Cupid Chan (4C Decision )
Average rating: ****.
(4.00, 1 rating)
John Mertic and Cupid Chan share real end-user perspectives from companies like GE on how they are using big data tools, challenges they face, and where they are looking to focus investments—all from a vendor-neutral viewpoint. 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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1:45pm2:25pm Thursday, December 7, 2017
Location: 321/322 Level: Beginner
Gaurav Godhwani (Open Budgets India, Centre for Budget and Governance Accountability)
Average rating: *****
(5.00, 1 rating)
Most of the India’s budget documents aren’t easily accessible. Those published online are mostly available as unstructured PDFs, making it difficult to search, analyze, and use this crucial data. Gaurav Godhwani discusses the process of creating Open Budgets India and making India’s budgets open, usable, and easy to comprehend. 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.
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4:15pm4:55pm Thursday, December 7, 2017
Location: 321/322 Level: Intermediate
Sarang Anajwala (Autodesk)
Sarang Anajwala offers an overview of Autodesk’s centralized data platform, which democratizes analytics across various teams within Autodesk. The platform has gone through multiple iterations to optimize the balance between a complex one-size-fits-all data access layer and multiple fragmented noncohesive data access layers. Read more.
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4:15pm4:55pm Thursday, December 7, 2017
Location: 328/329 Level: Intermediate
Thomas Dinsmore (Cloudera), Johnson Poh (DBS)
Average rating: *****
(5.00, 1 rating)
Data science alone is easy. Data science with others, in the enterprise, on shared distributed systems, requires a bit more work. Thomas Dinsmore and Johnson Poh share common technology considerations and patterns for collaboration in large teams and best practices for moving machine learning into production at scale. Read more.
Add to your personal schedule
5:05pm5:45pm Thursday, December 7, 2017
Location: 328/329 Level: Beginner
Arun Veettil (Skellam AI)
Arun Veettil shares his experience and lessons learned developing a customized, enterprise-level NLP platform to replace a leading text analytics vendor platform. Read more.