Day 1 - 28 November 2018

Big Data Strategies

It all starts with data and leading the charge in digital transformation are data and analytics leaders. In order to become a data-enabled company, use game-changing AI and ML technologies and make informed business decisions, you need to know how to effectively collect, store, manage and analyse data. Day one looks at how to shape and implement Big Data strategies.

09:45AM

Ian Foley

Venture Partner

Xenon

Associated Talks:

09:45AM - Day 1

View Big Data Strategies: Chairman’s Welcome

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Big Data Strategies: Chairman’s Welcome

. Ian Foley, Venture Partner, Xenon
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10:00AM

Richard Tong

Chief Architect and General Manager of US Operations

Yixue Squirrel AI Learning

Associated Talks:

10:00AM - Day 1

View Keynote: From Model to Implementations – Our approach to AI Adaptive Education

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Keynote: From Model to Implementations – Our approach to AI Adaptive Education

Adaptive learning, is an educational method which uses computer algorithm to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. Yixue Squirrel AI Learning (Yixue) combines the advanced AI technology with custom-build and calibrated learning contents to offer after-school tutoring and supplementary academic programs, through both online and connected learning centers, to K-12 students in China, the largest education market in the world.

 

. Richard Tong, Chief Architect and General Manager of US Operations, Yixue Squirrel AI Learning
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10:30AM

Ian Foley

Venture Partner

Xenon

Associated Talks:

09:45AM - Day 1

View Big Data Strategies: Chairman’s Welcome

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Stephanie Brooks

Sr. Vice President

Harnham

Associated Talks:

10:30AM - Day 1

View Panel: Creating a data-driven culture

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Uday Krishna

Senior Data Analyst

Capital One

Associated Talks:

10:30AM - Day 1

View Panel: Creating a data-driven culture

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Bill Yock

Chief Data Officer

Santa Clara County

Associated Talks:

10:30AM - Day 1

View Panel: Creating a data-driven culture

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Jessica Lachs

Head of Analytics

DoorDash

Associated Talks:

03:00PM - Day 1

View Lessons learned on experimentation and decision making

10:30AM - Day 1

View Panel: Creating a data-driven culture

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Panel: Creating a data-driven culture

  • Establishing evidence-based decision making as a core part of the digital workplace
  • Defining a clear strategy to leverage data whenever and wherever possible to enhance business efficiency and effectiveness.
  • Putting big data at the heart of your business
  • Closing the data literacy gap, hiring talent and getting buy in from the top.
Moderator: . Ian Foley, Venture Partner, Xenon
. Stephanie Brooks, Sr. Vice President, Harnham
. Uday Krishna, Senior Data Analyst, Capital One
. Bill Yock, Chief Data Officer, Santa Clara County
. Jessica Lachs, Head of Analytics , DoorDash
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11:15AM

Networking Break

11:45AM

Daniel Caraviello

Global Leader, Strategic Alliances & Talent Acquisition, Data Science & Informatics

Dow Agrosciences

Associated Talks:

11:45AM - Day 1

View Establishing and developing a highly competitive Data Sciences team

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Establishing and developing a highly competitive Data Sciences team

  • Getting the right skills balance – what new competencies are required?
  • Developing the leadership skills to catalyse data sciences adoption across the organization.
  • Employee engagement – approaches to boost retention of top data sciences talent.
. Daniel Caraviello, Global Leader, Strategic Alliances & Talent Acquisition, Data Science & Informatics, Dow Agrosciences
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12:15PM

Nav Kesher

Head of Data Sciences, Facebook Marketplace Experience

Facebook

Associated Talks:

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

12:15PM - Day 1

View Making Sense of Unstructured Data

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Making Sense of Unstructured Data

Structured data only accounts for about 20 percent of stored information. The rest is unstructured data – includes texts, blogs, documents, photos, videos, etc. In this presentation, I will talk about *analytical methods and tools, to analyze unstructured data, *that data scientists may use to gather and analyze information that doesn’t have a pre-defined model or structure. Traditional analytical processes are not adequate to fully understand unstructured data an as such, I want to dwell on some of the newer methods such as semantic analysis and natural language processing to analyze unstructured data. I will talk about the best practices that has worked for me in my quest to untangle unstructured data as well as do shallow dives into Recurrent Neural Networks (RNN) and Convolutional Neural Networks and how deep learning is helping at identifying patterns in unstructured data.

 

. Nav Kesher, Head of Data Sciences, Facebook Marketplace Experience, Facebook
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12:45PM

Terry Rice

CEO and Founder

Epigen Technology Corporation

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Jack Chua

Director of Data Science and Engineering

Expedia

Associated Talks:

02:30PM - Day 1

View Beyond Big Data: Strategic Change Management Considerations

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

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Suqiang Song

Director and Chapter Leader for Data Engineering and AI

Mastercard

Associated Talks:

03:30PM - Day 1

View Architecting a modern data pipeline framework to accelerate and scale your analytic applications

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

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Nav Kesher

Head of Data Sciences, Facebook Marketplace Experience

Facebook

Associated Talks:

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

12:15PM - Day 1

View Making Sense of Unstructured Data

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Panel: Building an Effective Big Data Strategy

  • What business problems are you trying to solve?
  • Data governance – what data to use, what other sources are there?
  • Bring together data, analytics, people and frontline tools to create business value
  • Dealing with legacy

 

Moderator: . Terry Rice, CEO and Founder, Epigen Technology Corporation
. Jack Chua, Director of Data Science and Engineering , Expedia
. Suqiang Song, Director and Chapter Leader for Data Engineering and AI, Mastercard
. Nav Kesher, Head of Data Sciences, Facebook Marketplace Experience, Facebook
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01:30PM

Networking Lunch

02:30PM

Jack Chua

Director of Data Science and Engineering

Expedia

Associated Talks:

02:30PM - Day 1

View Beyond Big Data: Strategic Change Management Considerations

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

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Beyond Big Data: Strategic Change Management Considerations

Why do so many companies struggle to incubate and activate an effective big data and advanced analytics organization? Much of the time, failure to capture value is due to inadequate change management strategies resulting from (1) improper project lifecycle, (2) lack of true data-centric decision making, and (3) inability of business and technical leaders to work in lockstep. I discuss these strategic considerations and more, tying various outcomes to case studies I have observed in industry.

. Jack Chua, Director of Data Science and Engineering , Expedia
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03:00PM

Jessica Lachs

Head of Analytics

DoorDash

Associated Talks:

03:00PM - Day 1

View Lessons learned on experimentation and decision making

10:30AM - Day 1

View Panel: Creating a data-driven culture

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Lessons learned on experimentation and decision making

Experimentation is difficult. Even when you successfully run an experiment, it can be a challenge to interpret the results. This talk will outline some of those challenges as told through anecdotes from my time at DoorDash.

  • Should you run an A/B test, or is there another method that’s more effective?
  • Do your results match your hypothesis?
  • Do you understand the causal mechanism?
  • How do you use what you’ve learned through experimentation to improve on the product?
. Jessica Lachs, Head of Analytics , DoorDash
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03:30PM

Suqiang Song

Director and Chapter Leader for Data Engineering and AI

Mastercard

Associated Talks:

03:30PM - Day 1

View Architecting a modern data pipeline framework to accelerate and scale your analytic applications

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

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Architecting a modern data pipeline framework to accelerate and scale your analytic applications

Big Data/ Analytic applications rely on data , most of time and resources of them were spent on bringing together existing data sources and when appropriate, transform , enrich them with other data sets. I will explore the architecture and design patterns for a modern data pipeline framework and share the observations of technologies assessment.

. Suqiang Song, Director and Chapter Leader for Data Engineering and AI, Mastercard
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04:00PM

Dhruv Garg

Senior Software Engineer

Netflix

Associated Talks:

04:00PM - Day 1

View Solo: Scaling Business Insights on Over a Billion Connected Devices

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Tri Truong

Senior Data Engineer/Architect

Netflix

Associated Talks:

04:00PM - Day 1

View Solo: Scaling Business Insights on Over a Billion Connected Devices

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Solo: Scaling Business Insights on Over a Billion Connected Devices

Netflix users stream on a multitude of device platforms that have differing hardware and application characteristics. Characteristics such as operating system, hardware profiles, connected devices, and Netflix client versions can have significant effects on the user’s streaming experience. The Netflix Device History Service (DHS) is the scalable solution we built for tracking devices and their changing characteristics. This session will explain why DHS was needed to grow our business globally, go in depth on the architectural underpinnings, and describe the key analytic use cases DHS enables.

. Dhruv Garg, Senior Software Engineer, Netflix
. Tri Truong, Senior Data Engineer/Architect, Netflix
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04:30PM

Session Close

Networking Party – 6pm – Hyatt Regency Hotel

An evening of networking on November 28 from 6pm. Access for Ultimate, Gold & Expo Plus holders in addition to speakers, sponsors, press and exhibitors. Taking place in the attached Hyatt Regency Hotel, join us from drinks, nibbles and networking at the Pool Area from 6pm. Further details to follow.  
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