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IBM Chief Data Officer
Summit, Fall

Boston, November 14 - 15, 2018

Register your Interest
Day One - November 14th
08:00

Conference Registration & Networking

Conference Registration & Networking

November 14 | 08:00 - 09:00

Speaking:

09:00

IBM Welcome Address & Kick-Off

Speaking:

Caitlin Halferty, IBM

Caitlin Halferty

Client Engagement Executive, IBM Chief Data Office, IBM

IBM Welcome Address & Kick-Off

November 14 | 09:00 - 09:15

Speaking:

Caitlin Halferty, IBM

Caitlin Halferty

IBM

09:15

Keynote Presentation: Putting Your Data to Work - Seizing the Opportunities of Artificial Intelligence

Speaking:

Inderpal Bhandari, IBM

Inderpal Bhandari

Global Chief Data Officer, IBM

Keynote Presentation: Putting Your Data to Work - Seizing the Opportunities of Artificial Intelligence

November 14 | 09:15 - 10:15

Speaking:

Inderpal Bhandari, IBM

Inderpal Bhandari

IBM

10:15

Keynote Panel: Getting Smart about AI - Strategies for Success in the Cognitive Era

  • Separating fact from fiction - how mature are Artificial Intelligence systems currently, what can be achieved, and what is fantasy?
  • How can the use of Artificial Intelligence help to ensure that data...

Speaking:

Joe Selle

Joe Selle

Global Solutions Lead, Chief Data Office, IBM

Susan Wegner-1

Susan Wegner

VP, Data Governance, Architecture & Analytics, Deutsche Telekom

VINEET SINGH

Vineet Singh

Chief Data Officer, SVP, Move, Inc

Speaker 2 - CAO Fall-1

George Musi

Chief Data, Analytics & Insights Officer, Blue 449

Ash Dhupar

Ash Dhupar

Chief Analytics Officer, Publishers Clearing House

Keynote Panel: Getting Smart about AI - Strategies for Success in the Cognitive Era

November 14 | 10:15 - 11:00

  • Separating fact from fiction - how mature are Artificial Intelligence systems currently, what can be achieved, and what is fantasy?
  • How can the use of Artificial Intelligence help to ensure that data is a source of value for the wider organization?
  • In robots we trust? What steps can be taken to ensure transparency in an AI-driven business? Will the public be willing to trust machine-made decisions, and how we can avoid biases?
  • Future-gazing – How fast should we expect AI to develop, and what can we do now to best survive the fourth industrial revolution?

Speaking:

Speaker 2 - CAO Fall-1

George Musi

Blue 449

Susan Wegner-1

Susan Wegner

Deutsche Telekom

Ash Dhupar

Ash Dhupar

Publishers Clearing House

VINEET SINGH

Vineet Singh

Move, Inc

Joe Selle

Joe Selle

IBM

11:00

Morning Coffee & Networking

Morning Coffee & Networking

November 14 | 11:00 - 11:30

Speaking:

Track A - Designing a Data Roadmap to Achieve Results

11:30

Discussion Group 1A: Quality Data from the Ground Up - Designing Outstanding Architecture

  • Striving for a single source of the truth – how can we design our architecture to ensure a complete picture?
  • When does a data lake become a data swamp? Ensuring the best approach for your warehouse
  • ...

Speaking:

Ferd Scheepers, ING

Ferd Scheepers

Chief Information Architect, ING

Sanjay Saxena

Sanjay Saxena

SVP, Data Governance, Northern Trust

Discussion Group 1A: Quality Data from the Ground Up - Designing Outstanding Architecture

November 14 | 11:30 - 12:15

  • Striving for a single source of the truth – how can we design our architecture to ensure a complete picture?
  • When does a data lake become a data swamp? Ensuring the best approach for your warehouse
  • Building an eco-system that is prepared for the future – anticipating tomorrows demands

Speaking:

Sanjay Saxena

Sanjay Saxena

Northern Trust

Ferd Scheepers, ING

Ferd Scheepers

ING

Track B - Honing your Strategy for Success as a CDO

11:30

Discussion Group 1B: Making an Impact on Your Business - Extracting Value from Your Data

  • The common quick wins that can be employed to demonstrate the power of data to influence the bottom line
  • Moving from a perceived cost-center to a profit-center – how can we ensure our value to the...

Speaking:

Isa Terzi

Isa Terzi

VP, Global Analytics and Reporting Lead, , Berkshire Hathaway Specialty Insurance

Javier Cabello

Javier Cabello

VP, Data Governance, Brown Brothers Harriman

Discussion Group 1B: Making an Impact on Your Business - Extracting Value from Your Data

November 14 | 11:30 - 12:15

  • The common quick wins that can be employed to demonstrate the power of data to influence the bottom line
  • Moving from a perceived cost-center to a profit-center – how can we ensure our value to the organization is clear?
  • Data as a source of innovation - utilizing your information to out-compete your rivals

Speaking:

Isa Terzi

Isa Terzi

Berkshire Hathaway Specialty Insurance

Javier Cabello

Javier Cabello

Brown Brothers Harriman

Track C - Utilizing Technology To Transform your Business

11:30

Discussion Group 1C: Utilizing Machine Learning and Deep Learning in the Business Context

  • How can we best help to prepare our organizations for the impact of new technologies such as ML & DL?
  • What are the current common use-cases for ML & DL in business, and what might we see in the...

Speaking:

Susan Wegner-1

Susan Wegner

VP, Data Governance, Architecture & Analytics, Deutsche Telekom

Ash Dhupar

Ash Dhupar

Chief Analytics Officer, Publishers Clearing House

Santi glasses

Prakriteswar Santikary

Chief Data Officer, eResearchTechnology

Discussion Group 1C: Utilizing Machine Learning and Deep Learning in the Business Context

November 14 | 11:30 - 12:15

  • How can we best help to prepare our organizations for the impact of new technologies such as ML & DL?
  • What are the current common use-cases for ML & DL in business, and what might we see in the future?
  • How can we best avoid introducing biases to our models, and can we mitigate their impact?

Speaking:

Susan Wegner-1

Susan Wegner

Deutsche Telekom

Santi glasses

Prakriteswar Santikary

eResearchTechnology

Ash Dhupar

Ash Dhupar

Publishers Clearing House

Track D - Applying Your Data to Real-World Business Challenges

11:30

Discussion Group 1D: Seeking New Opportunities - Identifying Business Models Through Data

  • Unleashing the power of your data to innovate – how can we generate new operating models from data?
  • How can we best partner with different lines of business to benefit from their domain expertise?
  • ...

Speaking:

Andrew Ruegger

Andrew Ruegger

Managing Partner, Ecommerce & Data Science, Group M

dan gettens, OnProcess Technology

Dan Gettens

Chief Analytics Officer, OnProcess Technology

Discussion Group 1D: Seeking New Opportunities - Identifying Business Models Through Data

November 14 | 11:30 - 12:15

  • Unleashing the power of your data to innovate – how can we generate new operating models from data?
  • How can we best partner with different lines of business to benefit from their domain expertise?
  • Ensuring you are the disruptor, not the disrupted – competing with innovative start-ups.

Speaking:

dan gettens, OnProcess Technology

Dan Gettens

OnProcess Technology

Andrew Ruegger

Andrew Ruegger

Group M

Track A - Designing a Data Roadmap to Achieve Results

12:15

Discussion Group 2A: Rubbish In, Rubbish Out – Measuring & Maintaining High Data Quality Through Strong Governance

  • Measuring data quality – when is good, ‘good enough’?
  • Communicating the importance of high quality data, and convincing business users of the value of governance
  • How can we balance the need for strong...

Speaking:

Michael Knuppel

Michael Knuppel

Chief Data Officer, Montgomery County Government

Christine Legner

Christine Legner

Professor and Academic Director, Competence Center Corporate Data Quality (CC CDQ), University of Lausanne

Discussion Group 2A: Rubbish In, Rubbish Out – Measuring & Maintaining High Data Quality Through Strong Governance

November 14 | 12:15 - 1:00

  • Measuring data quality – when is good, ‘good enough’?
  • Communicating the importance of high quality data, and convincing business users of the value of governance
  • How can we balance the need for strong governance controls to ensure high quality data, with allowing data use for innovation?

Speaking:

Michael Knuppel

Michael Knuppel

Montgomery County Government

Christine Legner

Christine Legner

Competence Center Corporate Data Quality (CC CDQ), University of Lausanne

Track B - Honing your Strategy for Success as a CDO

12:15

Discussion Group 2B: Selling your Services, Winning Business Internally, and Generating Re-Investment Funds

  • Identifying internal customers - Who should we be looking to build partnerships with for greatest impact?
  • Don’t believe the hype - how can you secure buy-in from business units without over-promising...

Speaking:

Chris Bannocks, ING

Chris Bannocks

Group Chief Data Officer, ING

Javier Cabello

Javier Cabello

VP, Data Governance, Brown Brothers Harriman

Judy Sarles

Judy Sarles

Senior Director - Information Lifecycle Management, Kaiser Permanente

Discussion Group 2B: Selling your Services, Winning Business Internally, and Generating Re-Investment Funds

November 14 | 12:15 - 1:00

  • Identifying internal customers - Who should we be looking to build partnerships with for greatest impact?
  • Don’t believe the hype - how can you secure buy-in from business units without over-promising and under-delivering?
  • Avoiding the constant need for net-new funding – how to fund new initiatives through money saved or generated in previous projects

Speaking:

Chris Bannocks, ING

Chris Bannocks

ING

Javier Cabello

Javier Cabello

Brown Brothers Harriman

Judy Sarles

Judy Sarles

Kaiser Permanente

Track C - Utilizing Technology To Transform your Business

12:15

Discussion Group 2C: Getting to Grips with Blockchain - Examining Distributed Ledger Technology

  • What potential benefits does distributed ledger technology (DLT) offer in terms of data management processes?
  • Could DLT offer a genuine and fully audited single source of the truth within an...

Speaking:

Pascal Marimer

Pascal Marmier

SVP, Digital Analytics, Swiss Re

Raúl Socha

Raúl Socha

VP, Enterprise Risk Management, USI Insurance Services

Discussion Group 2C: Getting to Grips with Blockchain - Examining Distributed Ledger Technology

November 14 | 12:15 - 1:00

  • What potential benefits does distributed ledger technology (DLT) offer in terms of data management processes?
  • Could DLT offer a genuine and fully audited single source of the truth within an organization, or even between them?
  • What approaches can be adopted to support the development of standards for DLT?

Speaking:

Pascal Marimer

Pascal Marmier

Swiss Re

Raúl Socha

Raúl Socha

USI Insurance Services

Track D - Applying Your Data to Real-World Business Challenges

12:15

Discussion Group 2D: Using Data & Analytics to Improve Your Product Offering

  • How can your data be used for innovation and underpin new product development?
  • Building internal partnerships - the art of convincing your product development team that you are an ally, not a...

Speaking:

VINEET SINGH

Vineet Singh

Chief Data Officer, SVP, Move, Inc

Alfred-Essa-McGrawHill-Education

Alfred Essa

Vice President, Analytics & R&D, McGraw Hill Education

Kamal Nayak-1

Kamal Nayak

Digital Engineering Leader, Hilton Hotels

Discussion Group 2D: Using Data & Analytics to Improve Your Product Offering

November 14 | 12:15 - 1:00

  • How can your data be used for innovation and underpin new product development?
  • Building internal partnerships - the art of convincing your product development team that you are an ally, not a competitor
  • Identifying the key gaps in the market through data and analytics, and finding ways to meet currently unmet needs of your customers

Speaking:

Kamal Nayak-1

Kamal Nayak

Hilton Hotels

VINEET SINGH

Vineet Singh

Move, Inc

Alfred-Essa-McGrawHill-Education

Alfred Essa

McGraw Hill Education

1:00

Lunch & Networking

Lunch & Networking

November 14 | 13:00 - 14:00

Speaking:

Track A - Designing a Data Roadmap to Achieve Results

2:00

Discussion Group 3A: We’re All Data Scientists Now! Self-Service Analytics to Democratize Data

  • What tasks should be performed by a data science function, and which should we empower business units to carry out independently?
  • Which tools best enable non-data professionals to work with data and...

Speaking:

Walter Mullikin

Walt Mullikin

Head of Enterprise Analytics, Shire

Shilpa Yelamaneni

Shilpa Yelamaneni

Director, Business Insights and Analytics, Ecolab

Discussion Group 3A: We’re All Data Scientists Now! Self-Service Analytics to Democratize Data

November 14 | 14.00 - 14.45

  • What tasks should be performed by a data science function, and which should we empower business units to carry out independently?
  • Which tools best enable non-data professionals to work with data and derive their own insights?
  • Embedding a data-driven culture – how can we convince others to follow the data, not their gut?

Speaking:

Shilpa Yelamaneni

Shilpa Yelamaneni

Ecolab

Walter Mullikin

Walt Mullikin

Shire

Track B - Honing your Strategy for Success as a CDO

2:00

Discussion Group 3B: Building the Business Case for Investing in Data & Analytics to Secure Budget

  • Securing initial buy-in and budget – what approaches deliver the best results?
  • Proving your worth – Demonstrating the Return on Investment of data can be tricky, so how should you quantify it?
  • Don’t...

Speaking:

Risë Zaiser

Risë Zaiser

Chief Data Officer, SMBC

Wes-Chaar-Turner

Wes Chaar

Chief Data & Analytics Officer, Catalina

David Asiala

David Asiala

Chief Data Officer, Dow Chemical Company

Discussion Group 3B: Building the Business Case for Investing in Data & Analytics to Secure Budget

November 14 | 14.00 - 14.45

  • Securing initial buy-in and budget – what approaches deliver the best results?
  • Proving your worth – Demonstrating the Return on Investment of data can be tricky, so how should you quantify it?
  • Don’t be a flash in the pan – steps to ensure that data is a long-term investment priority

Speaking:

Wes-Chaar-Turner

Wes Chaar

Catalina

Risë Zaiser

Risë Zaiser

SMBC

David Asiala

David Asiala

Dow Chemical Company

Track C - Utilizing Technology To Transform your Business

2:00

Discussion Group 3C: How Can Data Executives Best Support Digital Transformation?

  • What should the duties of data leaders be in the company’s digital transformation journey – should we take the lead, or perform a supporting role?
  • How can a data strategy underpin and support a...

Speaking:

Pascal Marimer

Pascal Marmier

SVP, Digital Analytics, Swiss Re

Michael Horn

Michael Horn

Chief Data Officer, Huge

Kamal Nayak-1

Kamal Nayak

Digital Engineering Leader, Hilton Hotels

Discussion Group 3C: How Can Data Executives Best Support Digital Transformation?

November 14 | 14.00 - 14.45

  • What should the duties of data leaders be in the company’s digital transformation journey – should we take the lead, or perform a supporting role?
  • How can a data strategy underpin and support a digital transformation strategy?
  • Positioning the yourself as a vital partner for success – collaborating with your Chief Digital Officer

Speaking:

Pascal Marimer

Pascal Marmier

Swiss Re

Kamal Nayak-1

Kamal Nayak

Hilton Hotels

Michael Horn

Michael Horn

Huge

Track D - Applying Your Data to Real-World Business Challenges

2:00

Discussion Group 3D: Data-Driven Marketing to Improve Customer Acquisition

  • Empowering your marketing teams by delivering greater insights and information
  • Using advanced analytics techniques for segmentation & personalization to maximize impact
  • Leveraging data to improve...

Speaking:

Anju Gupta, Syngenta

Anju Gupta

Global Insights Manager, Greenpeace International

Speaker 2 - CAO Fall-1

George Musi

Chief Data, Analytics & Insights Officer, Blue 449

Discussion Group 3D: Data-Driven Marketing to Improve Customer Acquisition

November 14 | 14.00 - 14.45

  • Empowering your marketing teams by delivering greater insights and information
  • Using advanced analytics techniques for segmentation & personalization to maximize impact
  • Leveraging data to improve cross-channel and omni-channel delivery.

Speaking:

Speaker 2 - CAO Fall-1

George Musi

Blue 449

Anju Gupta, Syngenta

Anju Gupta

Greenpeace International

Track A - Designing a Data Roadmap to Achieve Results

2:45

Discussion Group 4A: Making Data Pay - Finding Efficiencies and Increasing Revenues

  • What opportunities are there to use data and analytics to drive increases in revenue? Which teams should you partner with to achieve this?
  • Working with operations to improve processes, cut waste, and...

Speaking:

dan gettens, OnProcess Technology

Dan Gettens

Chief Analytics Officer, OnProcess Technology

Jack Chang

Jack Chang

Chief Technology Officer, Transdev

Shilpa Yelamaneni

Shilpa Yelamaneni

Director, Business Insights and Analytics, Ecolab

Discussion Group 4A: Making Data Pay - Finding Efficiencies and Increasing Revenues

November 14 | 14.45 - 15.30

  • What opportunities are there to use data and analytics to drive increases in revenue? Which teams should you partner with to achieve this?
  • Working with operations to improve processes, cut waste, and drive efficiencies
  • How can analytics improve assessments of financial performance, to optimize budgeting and forecasting?

Speaking:

Shilpa Yelamaneni

Shilpa Yelamaneni

Ecolab

Jack Chang

Jack Chang

Transdev

dan gettens, OnProcess Technology

Dan Gettens

OnProcess Technology

Track B - Honing your Strategy for Success as a CDO

2:45

Discussion Group 4B: Size Doesn’t Matter - How Can Large Enterprises Learn from Startup Approaches?

  • What practices fostered in Startup companies can realistically be applied to large enterprises in the data sphere, and how?
  • Can a large enterprise ever be as agile as a smaller organization? Should...

Speaking:

Siva

Siva Kumpatla

Global Leader, Data Science, Dow AgroSciences

Stephen Sopp

Stephen Sopp

VP, Data and Reporting, MeYouHealth

Judy Sarles

Judy Sarles

Senior Director - Information Lifecycle Management, Kaiser Permanente

Discussion Group 4B: Size Doesn’t Matter - How Can Large Enterprises Learn from Startup Approaches?

November 14 | 14.45 - 15.30

  • What practices fostered in Startup companies can realistically be applied to large enterprises in the data sphere, and how?
  • Can a large enterprise ever be as agile as a smaller organization? Should they even try?
  • How can large enterprises ensure tight linkage across the whole organization?

Speaking:

Siva

Siva Kumpatla

Dow AgroSciences

Stephen Sopp

Stephen Sopp

MeYouHealth

Judy Sarles

Judy Sarles

Kaiser Permanente

Track C - Utilizing Technology To Transform your Business

2:45

Discussion Group 4C: Can the Cloud Deliver a Bright Future?

  • Does the benefits of Cloud technology outweigh the limitations?
  • Is Cloud right for you? When should you use On-Premises technologies instead?
  • Can we now consider the Cloud to be as secure as...

Speaking:

Srinivasan Sankar

Srinivasan Sankar

Enterprise Data Leader, Hanover Insurance Group

Dipti Patel Misra

Dipti Patel-Misra

Chief Data & Analytics Officer, Vituity