Day One

16/11/2016

9.00am- 10.45am

Masterclass: Using Data Science to Deliver Real Value for Your Business

While data science can have massive impact on an organization, analytics for analytics sake is almost always a dead end in terms of value creation. Chief Data Scientists must use care to select projects that address real business needs, have suitable data available, and have a direct linkage to producing value. Drawing on Neil’s considerable… Read more.

Speaking
Neil Eklund
Chief Data Scientist - Schlumberger

11.00am- 11.15am

Chair’s Opening Remarks

Speaking
Haile Owusu
Chief Data Scientist - Mashable

11.15am- 11.45am

Keynote Presentation: Beyond the Buzzword – What Does it Really Mean to be a Data Scientist?

An evolving title – separating data science from job title fiction. Where should analytics end and data science begin? Is the Chief Data Scientist a tech executive embedded in business, or a business executive responsible for new technology?

Speaking
Ashok Srivastava
Chief Data Scientist - Verizon

11.45am- 12.15pm

Keynote Presentation: Using Data Science to Change the World

Exploring the ways in which change.org uses data science to further their mission of empowering people to effect change. How are algorithms such as Collaborative Filtering, Graphs and topic classification leveraged? Discussing the social activism Analytical techniques regularly employed, using case studies and the stories behind several of our cornerstone movements and victories.

Speaking
Gopa Kutty
Head of Analytics - Change.org

12.15pm- 12.45pm

Keynote Presentation: The Moral Dimension – Grappling with Ethics in the Age of Big Data

Striking a balance between individual data privacy and data usefulness. The implications of inference – managing discrimination and avoiding biases. How is the regulatory environment in which we operate likely to evolve in response to ethical issues?

Speaking

12.45pm- 1.15pm

Panel Discussion: Strategies for Success – How to Make It as a Chief Data Scientist

What is the key to driving evolution of tools and tech, whilst aligning them to business strategy and goals? How can the Chief Data Scientist balance responding to known business pain points, whilst also identifying previously unknown issues and introducing new concepts and methods? Should your data scientists work in one central department, or be… Read more.

Speaking
Jeremy Stanley
Vice President, Data Science - Instacart
Yael Garten
Director of Data Science - LinkedIn
Ashok Srivastava
Chief Data Scientist - Verizon

2.15pm- 3.00pm

Discussion Group 1A: Winning the Talent War – Attracting and Retaining Top Data Scientists in a Hyper-Competitive Market

Retention, Retention, Retention – how to maintain your organization’s attractiveness to data science professionals What motivates Data Scientists, and how are they different to other employees? What is the key to ensuring your organizations’ data science projects excite your team?

Speaking
Vikas Sabnani
Vice President, Data Science & Analytics - Glassdoor.com
Esteban Arcaute
Senior Director, Head of Data Science - WalmartLabs
Yael Garten
Director of Data Science - LinkedIn

2.15pm- 3.00pm

Discussion Group 1B: Tapping the Power of Machine Learning

What kind of information extraction opportunities does machine learning offer the data scientist? Is it possible that unsupervised learning techniques will take over in the future, making supervised learning techniques obsolete? What opportunities do exciting new technologies such as Deep Learning offer the data science profession?

Speaking
Hesam Salehian
Senior Data Scientist - Under Armour
Haile Owusu
Chief Data Scientist - Mashable

3.00pm- 3.45pm

Discussion Group 2A: Power to the People! Democratizing Data Science

How can we empower non-technical analysts to use data science tools and make better informed judgements? Can democratizing data science help to break down siloes and lead to a greater data-driven culture? What will the role of a Data Scientist be when non-technical employees can use data science tools?

Speaking
Vikas Sabnani
Vice President, Data Science & Analytics - Glassdoor.com
Rahul Todkar
Vice President, Enterprise Data Science and Marketing Analytics - Charles Schwab

3.00pm- 3.45pm

Discussion Group 2B: Getting Personal – Empowering Personalization Through Data Science

The art of understanding your customer – utilizing machine learning and feature engineering to capture as many signals as possible. Identifying ‘filter bubbles’ and mitigating their effects. What results should we expect to achieve – today and in the future?

Speaking
Esteban Arcaute
Senior Director, Head of Data Science - WalmartLabs

4.15pm- 4.45pm

Keynote Presentation: Roadmap for Analytics Success – From Data Discovery to Insights-Driven Action

Now reaching maturity & adoption, Smart Data Discovery is providing business users or citizen data scientists with insights from advanced analytics Sharing practical approaches to innovating analytics concepts, testing and iterating, selecting winners, and getting them adopted by the business as an integral part of the enterprise work flows. Measuring the success of analytics by… Read more.

Speaking
Kandathil Jacob
Chief Data Scientist – Analytics - Wipro

4.45pm- 5.15pm

Keynote Presentation: Where do Data Scientists Want to Work? Understanding what makes a Company Desirable to Data Scientists!

Understanding the nuances of how data scientists think, work, and thrive in order to make your recruiting efforts more effective, and team more successful Where do data scientists get their motivation, and what methods work to best encourage them? What are the roles and organizational structure that enable a data scientist to be the ‘best… Read more.

Speaking
Eric Colson
Chief Algorithms Officer - Stitch Fix

5.15pm- 5.45pm

Panel Discussion: Assessing the Impact of New Data Sources on Data Science

What opportunities do new data sources such as IoT, web, social, mobile, and ecommerce present? How can Chief Data Scientists ensure their organization is successfully exploiting the increase in the variety of data? What new sources of data can we expect in the coming years?

Speaking
Spencer Jones
Director, Data Science - Tenet Healthcare
Johann Larusson
Director, Intelligent Computing Research - Pearson

5.45pm- 6.00pm

Chair’s Closing Remarks

Speaking
Haile Owusu
Chief Data Scientist - Mashable