Main Conference: Day 2

30/11/2017

1.45pm- 2.15pm

Keynote Presentation: Building in House Products and the Need for a Different Skillset

• Skills needed vary depending on whether your organization builds the solution in house or uses an out-the-box solution. • Different skills and levels of experience are needed depending on the approach. • The need to hire for how the role will develop, not just generically for certain skills.

Speaking
Aarthi Srinivasan
Director, Product Management - Personalization & Machine Learning - Target

2.15pm- 2.45pm

Keynote Presentation: Artificial Intelligence – Evolution or Revolution?

• AI is currently offered as a fix-all solution to all business challenges. Are there limits to what can be achieved? • How can your business overcome the challenge of delivering on the hype to executives who want to take advantage of the next big trend • Does AI offer genuine disruption or an evolution… Read more.

Speaking
Sol Rashidi
Chief Data & Cognitive Officer - Royal Caribbean International

2.45pm- 3.15pm

Panel Discussion: Right Here, Right Now – Real Time Data Science

• What tools and technologies are required in order to implement real-time decisioning? • Examining the potential applications for real-time automated decision making – are they viable? • Are additional data governance processes required to make real-time decisioning work?

Speaking
Sergei Izrailev
Chief Data Scientist - Beeswax
Bob Filbin
Chief Data Scientist - Crisis Text Line
Dipti Patel-Misra
Chief Data & Analytics Officer - CEP America
Amit Srivastava
Director, Research Engineering - eBay

3.15pm- 3.30pm

Chair’s Closing Remarks

Speaking
Haile Owusu
Chief Data Scientist - Mashable

3.30pm

End of Conference

8.30am- 9.00am

Registration, Coffee & Networking in the Exhibition Area

9.00am- 9.15am

Chair’s Opening Remarks

Speaking
Haile Owusu
Chief Data Scientist - Mashable

9.15am- 9.45am

Keynote Presentation: Delivering on Short & Long Term Goals

• Setting up your business for delivering on the different challenges for short and long term goals • Embedding AI into the decision-making process • Making your business attractive to compete with early adopters

Speaking
Anju Gupta
Director, Digital Partnerships & Outreach - Monsanto

9.45am- 10.15am

Keynote Presentation: Extracting Value from Big Data with Machine Learning

• As traditional analytics is ill-suited to capitalizing on Big Data’s true potential, how does machine learning offer pattern recognition on a massive scale? • Discussing the benefits of the ability to assess all company and user data in order to identify correlations that humans are incapable of. • How do you collate and prepare… Read more.

Speaking
Anand Iyer
Chief Strategy Officer - WellDoc, inc.

10.15am- 10.45am

Panel Discussion: Using Data Science & Artificial Intelligence to Optimize Business Process, Boost Revenue, and Better Compete

• Generating insights that reduce Inefficiencies in your business processes • Disrupting the market by making the most out of your data to create new business models • Discover trends and patterns that uncover opportunities for growth using data science & AI

Speaking
Anju Gupta
Director, Digital Partnerships & Outreach - Monsanto
Scott Radcliffe
Executive Director, Data Analytics - Cox Communications
Matt Goodwin
University Lecturer in Analytics, Sr. Researcher - Anodot
Rajeeve Kaul
SVP, Transformation & Analytics - G4S

10.45am- 11.15am

Morning Coffee & Networking in the Exhibition Area

11.15am- 12.00pm

Discussion Group 3A: Driving Product Innovation Through Data Science

• Creating new winning products based on business goals and meeting customer demand • Developing and improving current product offers by applying data science to generate insights • Creating an internal culture of no-fail, experimentation, and testing

Speaking
Siva Kumpatla
Global Leader, Data Science - Dow AgroSciences

11.15am- 12.00pm

Discussion Group 3B: Agreeing a Common Definition of AI, and Assessing Whether it is Always the Answer

• Is a universally accepted definition of AI required in order to be able to drive the industry forward? • To AI, or not to AI – utilizing AI in areas where it offers benefits, and recognizing where it does not • Is a holistic approach necessarily more effective than identifying individual projects and processes… Read more.

Speaking
Scott Radcliffe
Executive Director, Data Analytics - Cox Communications
Shakhina Pulatova
Group Product Manager - LinkedIn

12.00pm- 12.45pm

Discussion Group 4A: Building on Strong Foundations – Creating Cohesive Data Platforms & Infrastructure

• Ensuring that your data infrastructure stack is stable, reliable, and scalable • When to build a unique solution, and when to adopt an existing solution? • Successfully partnering with Data Engineers to achieve the best possible outcomes. • Up in the air – to Cloud, or not to Cloud?

Speaking
Sergei Izrailev
Chief Data Scientist - Beeswax
Sinan Akkaya
Director, RAN Engineering - AT&T

12.00pm- 12.45pm

Discussion Group 4B: Delivering AI Projects with Real Impactful Return on Investment

• Getting the Board on-board – How do we win buy-in from the highest executive level, whilst ensuring that expectations are realistic and ‘hype bubbles’ are avoided? • What approaches can you use to quickly prove the ROI that AI can offer your enterprise? How can we best communicate results to business-focused execs? • Moving… Read more.

Speaking
Sol Rashidi
Chief Data & Cognitive Officer - Royal Caribbean International
Shakhina Pulatova
Group Product Manager - LinkedIn
Rajeeve Kaul
SVP, Transformation & Analytics - G4S

12.45pm- 1.45pm

Lunch & Networking in the Exhibition Area