Sep 23–26, 2019

Make data work for business.

The 2019 Strata Business Summit will give you a thorough understanding of 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 and services, modernize architecture, reduce costs, and lower risk.

Strata Business Summit sessions

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9:00am - 5:00pm Monday, September 23 & Tuesday, September 24
Location: 1A 01/02
Michael Li (The Data Incubator), Ana Hocevar (The Data Incubator)
Michael Li and Ana Hocevar offer a nontechnical overview of AI and data science. Learn common techniques, how to apply them in your organization, and common pitfalls to avoid. You’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making. Read more.
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9:00am12:30pm Tuesday, September 24, 2019
Location: 1A 10
Rossella Blatt Vital (Wonderlic)
Creating and leading a successful ML strategy is an elegant orchestration of many components: master the key ML concepts, operationalize the ML workflow, prioritize highest value projects, build a high performing team, nurture strategic partnerships, align with the company’s mission, etc. This tutorial aims to share insights and lessons learned in how to create and lead a flourishing ML practice. Read more.
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1:30pm5:00pm Tuesday, September 24, 2019
Location: 1A 10
Mac Steele (Domino Data Lab), Nick Elprin (Domino Data Lab)
The honeymoon era of data science is ending, and accountability is coming. Not content to wait for results that may or may not arrive, successful data science leaders must deliver measurable impact on an increasing share of an enterprise’s KPIs. Attendees will learn how leading organizations take a holistic approach to people, process, and technology to build a sustainable competitive advantage. Read more.
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11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 12/13
Brian Dalessandro (SparkBeyond)
While Data Science value is well recognized within Tech, our experience with leaders across industries shows that the ability to realize and measure business impact is not universal. A core issue is DS programs face unique risks that many leaders aren’t trained to hedge against. This talk addresses these risks and advocates for new ways to think about and manage data science programs. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 10/11
Michael Stonebraker (Tamr, Inc.)
As a steward for your enterprise’s data and digital transformation initiatives, you’re tasked with making the right choice. But before you can make those decisions, it’s important to understand what NOT to do when planning for your organization’s Big Data initiatives. Dr Michael Stonebraker, Adjunct Professor, MIT, & Co-Founder/CTO, Tamr will discuss his Top 10 Big Data Blunders. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 12/13
Felipe Hoffa (Google), Bob Bradley (Geotab)
Geotab is a world's leading asset tracking company, with millions of vehicles under service every day. In the first part of this talk we are going to review their challenges and solutions to create an ML and GIS enabled petabyte scale data warehouse leveraging Google Cloud. Then we are going to review their process to publish open, how to access it, and how cities are using it. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 14
Andrew Burt (Immuta), Brenda Leong (Future of Privacy Forum)
Machine learning techniques are being deployed across almost every industry and sector. But this adoption comes with real, and oftentimes underestimated, privacy and security risks. In this session, Immuta and the Future of Privacy Forum will convene leading industry representatives and experts to talk about real life examples of when ML goes wrong, and the lessons they learned. Read more.
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2:05pm2:45pm Wednesday, September 25, 2019
Location: 1E 14
Andrew Burt (Immuta), Brenda Leong (Future of Privacy Forum)
From the EU to California and China, more and more of the world is regulating how data can be used. In this session, Immuta and the Future of Privacy Forum will convene leading experts on law and data science for a deep dive into ways to regulate the use of AI and advanced analytics. Come learn why these laws are being proposed, how they’ll impact data, and what the future has in store. Read more.
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2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 12/13
Tim McKenzie (Pitney Bowes)
Planning 5G network rollout and associated services requires a good understanding of location based data. Accurate addressing and linking consumers to property parcels or points of interest allows data enrichment with property attributes, demographics and social data. Companies use location to organize and analyze network and customer data in order to understand where to target new services. Read more.
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2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 14
Mark Hinely (KirkpatrickPrice)
The fear that comes along with new compliance requirements is overwhelming. Organizations don’t know where to start, what to fix, or what an auditor expects to see. In this session, learn what an auditor’s perspective is on the newest security and privacy regulations, how your business can prepare for compliance, and what the audit looks like from their perspective. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 10/11
Andrew Brust (ZDNet | Blue Badge Insights)
A primer on data catalogs and review of the major vendors and platforms in the market. Includes discussion on the use of data catalogs with classic and newer data repositories, including data warehouses, data lakes, cloud object storage and even software/applications. Coverage of AI's role in the data catalog world and analysis of data catalog futures will be provided. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 12/13
Vlad Eidelman (FiscalNote)
While regulations affect your life every day, and millions of public comments are submitted to regulatory agencies in response to their proposals, analyzing the comments has traditionally been reserved for legal experts. In this talk, we show how natural language processing and machine learning can be used to automate the process by analyzing over 10 million publicly released comments. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 14
Elasticsearch allows extremely quick search and drilldowns on large amounts of semistructured data. Elasticsearch, however, does not have relational join capabilities. In this presentation I'll introduce a plugin for ES that adds cluster distributed joins and demonstrate how it enables an exciting array of use cases dealing with interconnected or "Knowledge Graph" enterprise data. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 10/11
Alasdair Allan (Babilim Light Industries)
A arrival of new generation of smart embedded hardware may cause the demise of large scale data harvesting. In its place smart devices will allow us process data at the edge, allowing us to extract insights from the data without storing potentially privacy and GDPR infringing data. The current age where privacy is no longer "a social norm" may not long survive the coming of the Internet of Things. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 12/13
Thiago Ribeiro (Griaule)
Brazil deployed a national biometric system to register all Brazilian voters using multiple biometric modalities and to ensure that a person does not enroll twice. This session highlights how a large-scale biometric system works, and what are the main architecture decisions that one has to take in consideration. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 14
Brindaalakshmi K (Independent Consultant)
There is a lack of standard for the collection of gender data. This session takes a look at the implications of such a lack in the context of a developing country like India, the exclusion of individuals beyond the binary genders of male and female and how this exclusion permeates beyond the public sector into private sector services. Read more.
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11:20am12:00pm Thursday, September 26, 2019
Location: 1E 10/11
Gayle Bieler (RTI International)
This presentation is about building a thriving Center for Data Science within a large and well-respected non-profit research institute. I'll discuss my transformation from an entrepreneurial statistician to data science leader, as well as some of our most impactful projects and best adventures to date--solving important national problems, improving our local communities, and transforming research. Read more.
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1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 10/11
David Castillo (Capital One)
The head of Capital One's Center for Machine Learning will share best practices for building a Responsible AI program in the enterprise, from multidisciplinary internal working groups to research & development. Read more.
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1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 12/13
Usama Fayyad (Open Insights & OODA Health, Inc.), Hamit Hamutcu (Analytics Center)
Ever confused about what it takes to be a data scientist? Or curious about how companies recruit, train and manage analytics resources? This presentation covers insight from the most comprehensive research effort to-date on the data analytics profession, propose a framework for standardization of roles in the industry and methods for assessing skills. Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 12/13
Alex Yoon (T-Mobile)
T-Mobile successfully improved the quality of voice calling by analyzing crowd sourced big data from mobile devices. In this session, you will learn how engineers from multiple backgrounds collaborated to achieve 10% improvement in voice quality and why the analysis of big data was the key to the success in bringing a better voice call service quality to millions of end users. Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 14
Akshay Rai (Linkedin)
Failures or issues in a product or service can negatively affect the business. Detecting issues in advance and recovering from them is crucial to keep the business alive. Come, join us, to learn more about LinkedIn's next-generation open-source monitoring platform, an integrated solution for real-time alerting and collaborative analysis. Read more.
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3:45pm4:25pm Thursday, September 26, 2019
Location: 1E 10/11
Jonathan Tudor (GE Aviation), Ross Schalmo (GE Aviation)
GE Aviation has made it a mission to implement Self-Service Data. To ensure success beyond initial implementation of tools, the Data Engineering and Analytics teams at GE Aviation created initiatives designed to foster engagement from an ongoing partnership with each part of the business to the gamification of tagging data in a data catalog to forming a Published Dataset Council. Read more.
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3:45pm4:25pm Thursday, September 26, 2019
Location: 1E 14
Audrey Lobo-Pulo (Phoensight), Annette Hester (National Energy Board, Canada), Ryan Hum (National Energy Board, Canada)
As new digital platforms emerge and governments look at new ways to engage with citizens, there is an increasing awareness of the role these platforms play in shaping public participation and democracy. This talk examines the design attributes of civic engagement technologies, and their ensuing impacts. A framework for better achieving desired outcomes is demonstrated with a NEB Canada case study. Read more.
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3:45pm4:25pm Thursday, September 26, 2019
Location: 1E 12/13
Madhu Gopinathan (MakeMyTrip), Sanjay Mohan (MakeMyTrip)
At MakeMyTrip, India’s leading online travel platform, customers were using voice or email to contact agents for post sale support. In order to improve the efficiency of agents and improve customer experience, MakeMyTrip developed a chatbot Myra using some of the latest advances in deep learning. In this talk, we will discuss the high level architecture and the business impact created by Myra. Read more.
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4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 10/11
Dean Wampler (Lightbend)
Join me for a discussion of the following problems and their solutions: 1. How (and why) to integrate ML into production streaming data pipelines, to serve results quickly? 2. How to bridge data science and production environments, with different tools, techniques, and requirements? 3. How to build reliable and scalable, long-running services? 4. How to update ML models without downtime? Read more.
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4:35pm5:15pm Thursday, September 26, 2019
Location: 1E 14
Mark Donsky (Okera)
California is following the EU's GDPR with the California Consumer Protection Act (CCPA) in 2020. Penalties for non-compliance, but many companies aren't prepared for this strict regulation. This session will explore the capabilities your data environment needs in order to simplify CCPA and GDPR compliance, as well as other regulations. Read more.

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