The 11th Annual MIT Chief Data Officer & Information Quality Symposium

Download: Printable MIT 2017 CDOIQ Symp Agenda as of July 10th

Exploiting Data Capital for Organizational Performance


Location: Massachusetts Institute of Technology
Tang Building (E51), MIT East Campus
70 Memorial Drive, Cambridge, MA, USA 02139
Dress Code: Business casual
Wednesday, July 12, 2017– Friday, July 14, 2017
Contact: Richard Wang


 Wednesday, July 12, 2017

12:00–1:00pm Registration E51- 3rd Floor
1:00–4:30pm Session 1
2:30–3:00pm Coffee Break & Networking
Session 1A Title: Machine Learning and Advanced Analytics: What a CDO Needs to Know

Chair:  Dan Everett, Senior Director, EIM Solution Marketing at SAP


Milind Kamkolkar, Chief Data Officer at Sanofi
Nikhil Aggarwal, FinTech Entrepreneur in Residence, iValley Innovation Center
Vijay Venkatesan, Chief Data Officer at Providence Health and Services
Lester Lobo, Business Architect, Data Management and Data Science at SAP

Abstract: Industry reports show that while companies know that they must “transform into digital enterprises”, many don’t know where to begin their journey, what steps they need to take, or how to do it so they can innovate at scale and drive better business results.Many executives are grappling to make business sense of technologies such as machine learning, advanced analytics and the Internet of Things that are being touted as critical capabilities to drive digital transformation.Our panel of experts will discuss their experience in a variety of topics such asWhy having a data strategy that is linked to the business strategy is essential

The two types of people, “Quants” and “Translators” needed for success:

– The difference between descriptive, predictive and prescriptive algorithms
– The role of the C-suite in the adoption machine learning and advance analytics
– Best practices for getting started at your company
– And examples of how innovation and business value are being realized
– The panel discussion will be followed by a question and answers session and the opportunity to network with peers.

Session 1B

Title: Planning and Executing a GDPR Data Privacy project

Speaker:  Arka Mukherjee – CEO, Global IDs


Lynn Laverty, Independent Global Privacy Consultant
Jeffery Kessler, JPMC, Vice President Firmwide Information Architecture
Tina Rosario, SAP, Global Vice President, Enterprise Data Governance and Management
David Blaszkowsky, Accenture, Principal Director, Technology Information
Bill Winkler, Global IDs, Inc. – Chief Technology Office

Abstract: The EU General Data Protection Regulation (GDPR) demands that organizations protect personal data and guarantee data privacy to individuals from the European Union. All organizations that possess data about EU citizens are subject to the regulation.Spurred by a May 2018 compliance deadline and the threat of a significant penalty, many organizations have started planning and executing their GDPR projects. Many CDOs have also realized that GDPR presents a unique opportunity to improve and modernize their data environments.Our panel of experts will discuss their experience in leading the GDPR compliance initiatives in some of the world’s best known organizations. The panel discussion will be followed by Q&A session and a networking session.

Session 1C

Title: The CDO Toolkit: Exploiting Data Capital for Performance, Risk and Audit
– Reducing Constraints to Business Performance
– Mitigating  Risk for Regulatory Compliance
– Enabling Forensic and Preventative Auditing

Chair: Robert Lutton – MITCDOIQ Symposium Lead Co-Chair


Peter Aiken, Founding Director, Data Blueprint
Jeff Giles, Principal Architect, Sandhill Consultants
Don Soulsby, Vice President Architecture Strategies, Sandhill Consultants

Abstract: Working in data has seemed a constant struggle on many fronts:  justifying programmatic investments, asking organizations for education initiatives, balancing people and process against technology, etc.  This session articulates the ‘firepower’ (needed knowledge, skills, and abilities) that organizations and data leaders need to succeed at data.

Revolving around (the) five core practice areas of the Data Management Maturity Model – Strategy, Governance, Quality, Operations, Architecture (technologies) – CDOs need to clearly articulate how accomplishments in these areas yield both operational improvements and increased capabilities to achieve business goals.  We will examine how these best practices, individually and in combination, equip organizations to succeed with their data assets.

Organizations today, have an ever increasing volume of data to consider. This session will also highlight how to point out the bright spots in what appears to be an infinite number of points of light. These Critical Data Elements come from a focused approach that starts with the controlled vocabulary of the business. The priorities are set by the business needs for governance from regulatory requirements, market conditions and disruptive technologies.

Session 1D Title: Financial Services CDOs Roundtable: Lessons Learned and Shifting from Survival to Success

Chair: Richard Inserro, Partner, PwC

Co-Chairs: Bala Annadorai, Salahaldin Hussein, PwC

Abstract: At this round-table financial services CDOs will discuss the challenges they have faced as their mandate and role have grown. We will discuss lessons they have learned and what actions they took that enabled their success. Some of the themes we plan to explore will include:
– Accelerating cultural change and buy-in from senior executives, the business and IT
– How CDOs are adapting to the ever-increasing pace of technological change
– Measuring success and ROI as CDOs’ remit expands from regulatory compliance to data monetization and value-add initiatives to the business

4:30–6:30pm Self-Organized Meet & Greet Off-Site



Thursday, July 13, 2017

7:45–8:30am Continental & Hot Breakfast, Registration Lower Level of Ting Foyer
8:30 -10:30am Session 2  
Session 2A


Welcome & Opening Remarks
Richard Wang, Director, MIT CDOIQ Program

Symposium Co-Chairs
Peter Anlyan, David Blaszkowsky, Dan Everett, Paul Gillin, Robert Lutton, Patrick Minton, Arka Mukherjee, Kimberly Sanders, Jim Short

Arkansas State CDO Announcement & Act
Speaker: Yessica Jones, Director, Department of Information Systems, State of Arkansas

Value Partners (We thank you!)

isCDO Awards Announcement
Speaker: James Meng, isCDO Award Committee Chair

MIT CDOIQ Program Awards
Stuart Madnick, MIT Sloan School of Management

Wong Auditorium
Session 2B


Day 1 Keynote: 

Title: A Journey to Transform Insurance Industry Using Data Science

Keynote Speaker: Sid Dalal, Chief Data Scientist and Senior VP, Advanced Research and Technology Science, AIG, Inc,

Abstract: Insurance industry is going through a major transformation. Availability of “big data”, new analytics, and state of art real time computing has changed the paradigm of risk selection, segmentation, mitigation and investments. Statistical and machine learning models are changing the traditional analytics used in the insurance industry. With the increased ability to collect and analyze real time data, the industry is entering a new phase based on real time probabilistic risk-analysis. I will illustrate this new paradigm in the context of managing risks associated with complex systems. Analyses depend all the way from small sets of data to terabytes of data using sensors, to medical information about drugs and chemicals. In this talk I will discuss a number of challenges in creating unified decision systems from a risk analysis perspectives, share some of the successes and the corresponding challenges in analytics and discuss new methods based on supervised and non-supervised learning. I also will discuss the impact of such risk analysis on public resilience policy.

Wong Auditorium
10:30–11:00am Coffee Break & Networking  Ting Foyer
11:00am-12:00pm Session 3  
Session 3A


Title: Delivering Federal Value through Effective Digital Data Strategies

Chair: Mark Krzysko, Deputy Director, Acquisition Resources and Analysis; Enterprise Information, Department of Defense


Nevin Taylor, Deputy Chief Technology Officer and initial and interim Chief Data Officer, Office of the Secretary of the Air Force
Ralph DiCicco,, Acquisition Chief Information Officer (CIO), Office of the Deputy Assistant Secretary of the Air Force
Kris Rowley, Chief Data Officer, General Services Administration (GSA)
Col. Stan Duvall, Chief HR Management ES, USAF
Kenneth Bray, Acting Associated Deputy Chief of Staff for Intelligence, Surveillance, and Reconnaissance for the US Air Force

Abstract: The role of the CDO is emerging in Federal agencies.  There are various interpretations seen in the varying titles and responsibilities, but one thing is clear:  effective data strategies are delivering value in the Federal government.  In this panel, you’ll hear from data leaders focused on identifying the right data, managing it, and using it to solve problems and derive new insights for their organizations.

Wong Auditorium
Session 3B

11:00am –12:00pm

Title: Challenges Facing the “first” State CDOs (not initially different from the private sector)

Chair: Peter Aiken, Founding Director, Data Blueprint


Jeff Bakon, CDO, State of Massachusetts
Todd Harbour, CDO, State of New York
Ed Kelly, CDO, State of Texas

Abstract: Chief Data Officers (CDO) are still relatively new to government, industry, and academia. Their relative roles, responsibilities, authorities, and accountabilities vary from organization-to-organization. For states, the differences are equally pronounced and varied. Some CDOs are charged with developing analytics to help executive leadership answer outstanding strategic questions. Others focus on data governance and other foundational activities. Each panelist has newly arrived at their position via different paths. They bring with them a wide range of knowledge, skills, and abilities that will help them define their organizations and roles across state government. There are, however, some shared challenges:

– Establishing foundational practices with a decentralized operating model
– Creating repeatable practices: 80:20 division of labor
– Delivering added value through enterprise analytics (e.g., Fraud Detection)
– Realigning organizational functions and redefining the relationship between IT and business ownership


Session 3C

11:00am- 12:00pm

Title: The evolving and future role of the CDO

Chair: Randy Bean CEO/Founder, NewVantage Partners and industry columnist


Christina Clark, CDO, General Electric (GE)
Mark Ramsey, CDO, Glaxo Smith Kline
Venkat Varadachary, CDO, American Express

Abstract: While the CDO position has clearly arrived – 55.9% of firms surveyed reported having a CDO in place – the role of the CDO continues to evolve, with differing views of the mandate and organizational reporting.  A growing percentage of CDO’s are moving from the defense (regulatory and compliance reporting) to offense (innovation, revenue generation).  Our panel of leading CDO’s will share their perspectives on the present and future role of the CDO.

Session 3D

11:00am –12:00pm

Title: GDPR Best Practices for Data Deletion

Speaker: Tina Rosario, Global Vice President, Enterprise Data Governance and Management

Abstract: With the European Union’s General Data Protection Regulation (GDPR) fast approaching CDOs are challenged by how to formally and completely remove information from their organizations.
In this session panel members will share their best practices for data deletion.
Topics for discussion will include:
– Identifying where the data is stored
– Determining lineage and what systems process it
– Ensuring its destruction
Come hear your peers share their best practices and share your perspectives on this important topic

12:00–1:00pm Lunch & Networking Ting Foyer
1:00-2:00pm Session 4  
Session 4A


Title: CDOs in the Boardroom

Chair: Paul Barth, CEO, Podium Data

Co-Chair: Peter Anlyan, Founding Member, Anlyan Consulting


Brandon Thomas, CDO, Zions Bancorporation
David Roux, Board Member, Boston Scientific
Joan dal Bianco, US CDO, TD Bank

Abstract: The role of the CDO has grown in prominence over the past decade.  Today, data is a topic on the agenda of many large, competitive companies, from risk and compliance to strategic competitiveness. Data is at the center of many new business trends that are fueling investment and innovation, such as IoT, SaaS, and AI.  This discussion among active board members and CDO’s will cover the concerns board members have about data, key ingredients for a healthy CDO/Board relationship, and the top data issues CDO’s think boards should understand and consider.

Wong Auditorium
Session 4B











Title: Key to Establishing a Successful CDO Data Management Platform

Chair: Kimberly Sanders, Director, Global TV Distribution Technology, NBC Universal Media


Ursula Cottone, CDO, Citizens Bank
Chauncey Holden, CSO, Citizens Bank
Brian O’ Connell, CIO, Citizens Bank

Abstract: During this session, we will discuss the suggested champions, partnerships and synergies required to successfully establish the role of the CDO and the accompanying data management platform and framework within an organization. Success begins with the alignment of key members of the leadership team and decision makers who work to clearly define the roles and responsibilities of both the CDO – Chief Data Officer and the Office of the CDO. These roles and responsibilities will assist with accomplishing the specific strategic initiatives of the given organization and will help to mitigate the risk of overlapping objectives, create autonomy and will help foster the appropriate change management required to successfully assimilate the new role into the culture of the organization. An essential partnership exists between an organizations CDO, CIO and CSO. We’ll hear from a successful trio who have designed and implemented a successful strategic partnership and roadmap for the introduction of the CDO role within their Financial Services organization. Topics of discussion will detail their path, challenges, keys to success and lessons learned along the way.

Keywords: CDO, Chief Data Officer, Data Management


Session 4C


Title: Data Innovation: Implementing the Organization’s Future Data Agenda

Chairs: Jim Short, Lead Scientist & Co-founder, Center for Large Scale Data Systems (CLDS) San Diego Supercomputer Center, Marla Capozzi, McKinsey


Chaitan Baru, Senior Advisor for Data Science, National Science Foundation
Jeffery Brown, Associate Professor at Harvard Med / Harvard Pilgrim
Elena Naumova, Professor and Academic Dean, Tufts University 

Abstract: Corporate level officers with responsibility for the data agenda in their organizations face an increasingly complex data landscape. On the one hand, data-driven innovation holds the promise of unlocking new opportunities and unique competitive advantages for their businesses. On the other, absent a few celebrated examples, the great majority of organizations are not fully  embracing data driven innovation as a core driver of strategic competitiveness and economic performance. Rather, rapid technology adoption carries with it new execution risks, workforce challenges, and performance unknowns, and to date, these and other concerns have served to mitigate investment levels and adoption rates. Our panel will address core challenges in embracing data driven innovation in several scientific and healthcare domains: in spurring the creation of new translational sciences and scientific advancement, in creating new approaches to forecast and model infectious diseases in health sciences research, and in clinical research applications, facilitating new multi-institutional medical product safety surveillance and research using electronic health data.

Session 4D


Title: Governance and Stewardship in the Big Data Era

Speakers: Pieter De Leenheer, Founder, VP, Collibra
Barbara Latulippe, Chief Data Governance Officer, Dell

Abstract: We live in the age of abundant data. Through technology, more data is available, and the processing of that data easier and cheaper than ever before. But to realize the true value of this wealth of data, data leaders must rethink our assumptions, processes, and approaches to managing, governing, and stewarding that data. And to succeed, they must deliver credible, coherent, and trustworthy data into the hands of everyone who can use it.

Please join Dr. Pieter De Leenheer, co-founder and Vice President of Research & Education, Collibra, and Barbara Latulippe, Chief Data Governance Officer, Dell as they explore what changes are happening in data, how to capitalize and exploit data assets, and what data leaders must do to make their data easy to find, easy to understand, and easy to trust.

2:00 – 2:15 Break & Networking  Ting Foyer
2:15-3:15pm Session 5  
Session 5A



Title:  Gartner’s 2nd Annual Chief Data Officer Survey Results and How to Avoid Failure

Speakers: Valerie Logan, Mike Rollings, Gartner

Abstract: Gartner surveyed Chief Data Officers and other data and analytics leaders to uncover how organizations were approaching the CDO role and the roots of success. This survey shows how the office of the CDO is pioneering a new organizational function alongside IT, business operations, HR and finance, but it also shows that success is far from guaranteed. This presentation will provide attendees with a global perspective about the responsibilities and challenges of the CDO role, as well as providing specific recommendations on how to avoid the traps that threaten to undermine success.



Session 5B



Title: Change Management

Chair: Peter Anlyan, Founding Member, Anlyan Consulting


Martin Ouiment, Partner and Managing Director, Boston Consulting Group

Abstract: Data and Analytics (D&A) is at a crossroad. While many companies see the potential and have invested heavily in “Big Data” technology, very few organizations extract the full benefits from their D&A assets. In this presentation, we describe common challenges faced by organizations when it comes to delivering on their D&A vision. We highlight case examples of best-in-class organizations that have overcome these challenges and what it took for them to get there. Creating the most value from D&A is about much more than technology and data science, it is about new ways of working, through a close partnership between technology and business to create value through D&A. The Chief Data Officer (CDO) is uniquely positioned to facilitate and bridge this partnership, but must do so carefully and strategically to create and maintain sustainable traction.



Session 5C




Title: PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution

Speakers:  Gerard Verweij, Anand Rao, PwC

Abstract: There is a lot of hype about artificial intelligence (AI) on the one side, and apprehension on the other. But what are the real opportunities and threats for organizations?

During this session, we will draw on a highly detailed analysis of the business impact of AI, where we identify the most valuable commercial openings in global markets and how to take advantage of them. Leveraging input from our sector experts and partners at the Fraunhofer Institute, a global leader in emerging technology research and development, the analysis for this study gauges the potential value for regional economies and eight commercial sectors worldwide. Through our AI Impact Index, we also look at how improvements to personalization/customization, quality and functionality could boost value, choice and demand across more than 200 product lines, along with how quickly transformation and disruption are likely to take hold.

3:15–3:45pm Coffee Break & Networking   Ting Foyer
3:45-6:00pm Session 6  

Partners: Industry Solutions: Use Case Successes

Session 6A































Title: CDOIQ Sponsors Use Cases


Title: How CDOs & CIOs are Driving Digital Transformation

Speaker: Ajay Khanna, Vice President Marketing

Abstract: Today’s business landscape more dynamic than ever. New revenue models, stringent regulations, and high customer expectations are forcing organizations to evolve or face being overrun by more nimble competitors.
CDOs and CIOs of established business are looking to digital transformation as a key initiative. But what exactly does digital transformation entail? At its core, any digital transformation requires clean and consistent data, reconciled across systems and channels. An enterprise-wide data management foundation that ensures real-time access to reliable data of all types at scale and is non-negotiable.  Data access must be democratized across all groups and divisions so that teams can get a 360-degree view of customers, products, organizations and more. However, it’s not just about disconnected siloed analytics. It’s about the next generation of operational data-driven applications that allow frontline business users to gain relevant insight and intelligent recommended actions so they can achieve their goals. This session explores how some of the largest companies in the world are transforming themselves using the same modern data management technology used by Internet giants such as Amazon, Facebook, LinkedIn, and Google.

Caserta Concepts

Title: Integrating the CDO Role Into Your Organization; Managing the Disruption

Speaker: Joe Caserta, Founding President, Caserta Concepts

Abstract: The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs.  Specifically the CDO must:

  • Provide a single point of accountability for data initiatives and issues
  • Innovate ways to use existing data and evangelize a data vision for the organization
  • Support & enforce data governance policies via outreach, training & tools
  • Work with IT to develop/maintain an enterprise data repository
  • Set standards for analytical reporting and generate data insights through data science

In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success.


Title: Big Data in Pharma – Streams to Lakes


Ramin Daron, Senior Director, Data Architecture, Takeda Pharmaceuticals
Ari Yacobi, Chief Data Scientist, Knowledgent
Sam Habib, Big Data Practice Lead, Knowledgent

Abstract: Change can be difficult for any organization.  Strategy and execution of implementing change in technological adoption of big data platforms and their potential impact to the Pharmaceutical Industry will be explored in this presentation.  Challenges for big thinking realization and practical actions for value creation to be reviewed include alignment of values, objectives and priorities, change management, multi-functional collaboration, and innovative thinking.

Wong Auditorium



Session 6B




































Title: CDOIQ Sponsors Use Cases


Title: How to transform your analytics world with DataOps:  big pharma launch case study

Speakers: Chris Bergh, CEO and Head Chef; Gil Benghiat, VP of Products

Abstract: The software industry has advanced from releasing every 12 months to every 1 second — more than one million times improvement!  In this case study, learn how to transform your data and analytic organization with the latest practices called DataOps.
For background, we look at challenges in analytics today.  Next, we examine the required areas for transformation:  1) Mindset, 2) Technical Environment and 3) Automated Data Quality.  After examining how automated quality is the key for orchestrating data to value and for speeding innovation to production, we conclude with how DataOps principles and practices work in a case study of a big pharma new product launch.
The speakers are the founders of DataKitchen and have decades of hands-on and executive management experience in data, analytics, and software development and are current practitioners of DataOps.


Title: Data Science is Just the First Step…

Speaker: Zach Carwile, Solutions Architect, Continuum Analytics

Abstract: As data science organizations mature, an opportunity is emerging to put enterprise-grade data product in the hands of the analysts who create insights, make recommendations, and generate predictions as part of everyday business processes.

In this talk, we’ll discuss strategies for industrializing data products and putting them into Production, allowing them to proliferate across your organization.

Key takeaways:

Empower data science teams with plumbing to build data products for the power analysts who drive business processes

Containerization of data science projects is a good thing — rapid iteration, no expensive code translation projects

Establish a robust deployment process: maximize the value and reach of your data science investment


Title: DaaS and Trust

Speaker: Ray Kraus, Director of Product for Acxiom Research

Abstract: Data has become the currency for organizations to maintain a competitive advantage. Organization must think outside of their own box (data within their walls) to harness the network effect of connected datasets. Imagine the inevitable trend and the power of combining people, processes and technology to support an ecosystem of data that generates valuable insights via DaaS. Trust is a major road block to the success of DaaS. In this presentation, we are going to how we can take proactive steps to close the chasm of trust within the DaaS platform.







Session 6C






































Title: CDOIQ Sponsors Use Cases

Sandhill Consultants

Title:Data Architecture Foundation for Enterprise Architecture

Speaker: Don Soulsby, Vice President Architecture Strategies, Sandhill Consultants

It is always about change (Heraclitus of Ephesus – 5th Centiry BCE). So, the question we ask you, is your enterprise adaptable enough to handle change based on intelligence and a measured approach to responding to the change?
Sandhill Consultants believe that a good starting point is the analysis of the structure of the data, as it persists long after the process, organization or system that created have disappeared. However, there is also significant value in understanding data in context. The relationships of data to process, organization, locations and applications will allow for realistic analysis of the impact of change.

Enterprises need a measured approach to manage change rather than a simple imprudent reaction to an external or internal stimulus. To respond to change, while limiting unintended consequences, enterprises need to have intelligence about the environment where changes are likely to occur.
This session will introduce a data centric enterprise architecture approach of managing change.  Sandhill Consultants will be presenting the following capabilities:

  • Model Data for the enterprise across business and technical domains
  • Understand data architecture in context of application, network and security architectures
  • Visualize the potential impact of change
  • Assess your competency level of your capabilities for improvement.

Sandhill Consultants have developed an approach that is founded on the CMMI Institute Data Management Maturity Model (DMM).  The DMM provides a framework for continuous improvement of an enterprise’s data architecture. The maturing of the data architecture delivers a strong, scalable foundation to build towards a robust enterprise architecture.


Title: Achieving Sustained Business Value with Big Data & Big Insights Programs and Initiatives

Speaker: Derek Strauss, Founder and CEO, Gavroshe USA, Inc.

Abstract: The world of Big Data & Big Insights is right now in a danger zone. There are many technological silver bullets falling out of the sky for us to try out; it is an exciting time indeed! However, for us to achieve sustainable business value with these technologies we must ensure we are giving due attention to building and maturing an end-to-end set of Data & Analytics capabilities.

But how do you effectively exploit data capital for sustained organizational performance? What is needed is an integrated approach, bringing together People, Process, Data and Technology, and embracing a comprehensive vision for Data & Analytics. Gaps in this approach, if left unattended, will certainly undermine your ability to derive ongoing value from your Big Data investments.

Based on the Gavroshe 7 Streams Play Book for Chief Data Officers™, this presentation provides insight into real life use cases, which highlight some of the key considerations for the ongoing success of Data & Analytics initiatives.

Session 6D



























Title: CDOIQ Sponsors Use Cases

Trillium Software

Title: Finding Relevance in the Big Data World

Speaker: Harald Smith, Director, Product Management, Trillium Software

Abstract: Capturing and hoarding data for potential future needs is not a new phenomenon.  However, with the advent of Big Data, we face a deluge of data of high volume from known and unknown sources, with highly varied formats, and potentially very disparate meanings and uses. We’re told that “data is the new oil” and that data-driven insights are key to competitive advantage in a world where new business models are rapidly emerging.  So we capture and hoard this data, too, in our Data Lakes though with the admonition not to let them turn into Data Swamps.  And the consequence is an overload of data from which we have little understanding, multiple versions of the truth, questions around data quality, and a lot of mistrust, let alone a lack of viable insights.  That raises the critical question: “If you don’t know what you want to get out of the data, how can you know what data you need – and what insight you’re looking for?” To address this challenge, we need to consider four key steps:  framing the problem and what is relevant, understanding and evaluating data quality, determining fitness for purpose, and validating and communicating our findings.


Title: AI-First: Achieve machine learning success by avoiding these three pitfalls

Speaker: Eliot Knudsen, Data Science Lead

Abstract: On May 17 at Google I/O, Sundar Pichair mandated that Google would be an “AI-First” company. What exactly did he mean by this? With hundreds of already completed projects (most recently AlphaGo), Sundar is now looking to bake the culture of those teams across the entire company.

In this talk, Eliot dives into how to build pockets of machine learning excellence in large companies. Building momentum is not easy, and the path from individual success cases to a muscle and competitive moat is littered with false starts.

Podium Data

Title: The Well-Governed Data Marketplace: How Podium Is Helping Companies Build Data Marketplaces with Enterprise-Grade Data Governance and Security

Speaker:  Paul Barth,  CEO, Podium Data

Abstract: Podium allows companies to create a secure self-service marketplace of their data, so that new data can be delivered to the business in a day and business users can find data they need in minutes. This presentation will provide an overview of Podium and specific examples of how large companies are using Podium to implement enterprise-grade data governance and metadata management in their data marketplaces.

6:00–7:15pm Symposium Reception Ting Foyer

Friday,  July 14, 2017

7:45–8:30am Continental Breakfast & Registration Ting Foyer
8:30am -10:15pm Session 7  
8:30– 9:15am
















9:15 – 10:15am

Opening Remarks: Peter Anlyan,  MITCDOIQ Symposium Co-Chair

Title: Building Out the Data Infrastructure-Toward Data Drive Policy Making

Keynote Speaker:  Natalie Harris , Senior Policy Advisor to US Chief Technology Officer (CTO)

Abstract: As states continue to do more with less resources, the talents of technologists are needed now more than ever to build out the data infrastructure necessary to ensure citizens receive equitable access to the innovations the data-driven policy-making brings to communities. This talk lays out the path for creating an alliance amongst policy-makers, civic technology community, and public technologists to build data infrastructure for government that is focused on getting the right people, technology, and policies in place for data-driven policy-making. Some elements include:

–  Creation of digital ecosystem allowing for development of solutions, information sharing and collaboration

–  Development of best practice implementation frameworks

–  Creation of ROI case studies

This should result in broader, more equitable access, increased professionalism for data driven policy making, and specific training and education revolving around best practices.

Title: Data Governance in a Big-Data World

Speaker: Vikas Kapoor, CEO of Mezocliq

Abstract: The three-decade-old paradigm for managing enterprise data and technology has reached the end of its road. Stitching together best-of-breed systems without strong centralized data governance was viable in the eighties and nineties. However, as the volume and complexity of data has exploded, this loose integration model is running into severe difficulties. Good, clean data is harder to get than ever. Development times are ridiculously long. Costs are on a runaway train. Failed migrations and catastrophic outages occur with increasing frequency and security breaches are commonplace.
Mezocliq provides companies with a fresh start, leveraging a cloud architecture to reign in fragmented legacy data.
CEO Vikas Kapoor will discuss the challenges in moving from legacy systems to a big-data architecture, along with strategies for navigating the transition.

Wong Auditorium
10:15–10:30am Coffee Break & Networking  Ting Foyer
10:30–12:00pm Session 8  
Session 8A


Title: Effective Technical foundations for Federal Digital Transformation- Providing Solutions

Chair: Mark Krzysko, Deputy Director, Acquisition Resources and Analysis; Enterprise Information, Department of Defense


Dimitry Feldshteyn, Chief Technology Officer, SAF/AQXS CIO
Kevin Garrison, Chief of Analytics, Special Assistant for Governance and Analytics, Office of the DoD CIO
John O’Brien, Systems Engineering Lead supporting OUSD(AT&L)/ARA, Enterprise Information, Department of Defense
Kris Rowley, Chief Data Officer, General Services Administration (GSA)

Abstract: The Federal Government is in the process of a digital transformation.  The importance of data sharing remains a hot issue, and the use of data for decision-making is increasing.  Through experience, organizations are realizing that once they know what data they need, they need it to be available in a timely manner and they need it to be reliable.  Hear from technical strategists working in Federal agencies about their approaches and the solutions that are shaping the future of Federal data.

Wong Auditorium


Session 8B


Title:  Minimize Data Vulnerabilities for Private and Sensitive Data

Chair:  Don Soulsby, Vice President, Sandhill Consultants


Abstract:  The lack of consistency is the root cause of not trusting your corporate data.

Exposure of private and sensitive data is making headlines. Affected organizations suffer severe financial consequences as well as damage to public image and reputation. In this webinar, we will review ways to facilitate forensic analysis when data has been compromised and present methods of prevention to ensure that data loss does not happen, or happen again.

Learn the best practices to reduce the threat of data breaches by addressing the dimensions of Risk Management; classification, valuation, detection and mitigation. It is not just about ensuring data security, it is about trust and traceability, and the appropriate level of data governance that best illustrates an understanding of your data landscape which encompasses the what, how, who and where, of your sensitive corporate data.

We will discuss a concurrent engineering approach to both data and process modeling that allows for top down and bottom up views. We will illustrate traceability between the data and application architectures. To complete the enterprise architecture picture, we will also show how these systems are represented and linked to the security and network operating models.

Session 8C


Title: CDO sessions in Higher Education

Chair: Mike Kelly, CDO, University of Southern Carolina

Co-Chairs:  Brandon, Aldrich, CDO, Ivy Tech,
Karen Wetzel, EDUCAUSE        

Abstract: Facilitated conversation and group formation to formalize the isCDO partnership with the EDUCAUSE Higher Education CDO Working Group. The group will focus on providing a supportive and collaborative environment for CDOs and others who may not have that title but who have institution-wide responsibility for data governance and analytics.

Session 8D



Title: An Information Strategy for your Company

Speaker: Mark Johnson, Data Management and Analytics Executive Leader

Abstract: This is just in . . . a new report from Credit Suisse predicts that between 20-25% of the nation’s shopping malls will close in the next five years because e-commerce will continue to pull shoppers away from bricks-and-mortar retailers. Then there is this breaking news from USA Today: “Get ready. Amazon-Whole Foods deal will change how you buy food forever!” Forbes: “Analyst Says Whole Foods Competitors Are ‘Screwed’ After Amazon Deal.” Before long, like the age-old Tupperware adage, the only people who will shop at Amazon will be people who eat!

What do these trends have in common? Data and analytics. Without a strategy, roadmap and clear, focused leadership to execute, companies in a multitude of industries will go the way of Sears and Kmart at the hands of Walmart.

Join Mark Johnson, Data Management and Analytics Executive Leader at Fusion Alliance, for an informative session on developing an information strategy for your company.  You really don’t want to miss this session; the winds of change are blowing at hurricane force and they are headed for the front door!

12:00–1:00pm Lunch & Networking Ting Foyer
1:00–2:30pm Session 9  
Session 9A

Title: The Flip Side of Data Capital: Strategies for Assessing Data Liability and Data Risk

Chairs: Jim Short, Lead Scientist & co-founder, Center for Large Scale Data Systems (CLDS) – San Diego Supercomputer Center, Marla Capozzi, McKinsey


Kirk Borne, Executive Advisor & Principal Data Scientist, Booz Allen  
Russ Cohen, Vice President of Cyber Services, Chubb
Steve Orrin, Chief Technologist, Intel Corporation

Abstract: There is a strong correlation between data valuation and risk management. The value of an organization’s data assets are a crucial component of proper risk assessment, management and mitigation. As in IT and Operations risk management, the value and criticality of the assets being protected – whether that is an IT asset, a physical system, or operation reliability –  need to be measurable and assessable, so too the data assets within an organization. Data valuation will drive the resources, efforts and controls that are put in place for risk  assessment and mitigation and will help prioritize security operations and processes based on the value and critically of the data assets to the organization. This panel will delve into the correlation between asset valuation and risk, and present methodologies for assessing data value and how that value plays in risk assessment and mitigation frameworks such as NIST CSF.
Session 9B
Title: CDOs’ Enablers of Lean Analytics for Enterprise Innovation 

Chair: James Meng, Senior Fellow, SuperComputer Center, University of California, San Diego


  • Kevin Fleet, VP Informatica, will present key success factors for CDOs’. Who authored Five Imperatives for the Chief Data Officer. A field-tested approach for delivering high-value digital transformation.
  • Rebecca Shockley, IBM Institute for Business Value, who authored ANALYTICS AS A SOURCE OF BUSINESS INNOVATION. The increased ability to innovate with analytics is producing a surge of benefits across industries.
  • Bruce Tyler, VP, Big Data Practice Leader, IBM Global Business Services

Abstract: While most people generally believe better information helps drive better business performance getting continuing executive support for data governance is easier if you can connect data to business objectives and outcomes. In this session learn how these panelists are making those connections in their organizations.

From collected experiences of many who shared their lessons learned on Enterprise Data Transformation initiatives, one can observe that there are 4 major pains of enterprise data transformation. They are: inability to transform local innovations into enterprise wide innovation; inability to achieve data transparency and systems and applications interoperability; migration to cloud did not achieve cost savings without rationalization of systems and applications first; and finally applying ADW takes so long that the data transformation initiatives frequently atrophied before results can be generated.  A cursory comparison of these pains with symptoms of early stages of industrial Lean initiatives in 1980’s, one sees clearly we are entering into a Lean Analytics era. Many transformations were not done in the right sequence and at right level of leadership and leveraging the automation tools. Many lessons were learned by CDOs, although not explicitly in light of the Lean Analytics, are useful to support CDOs to avoid these pains, and to guide CDOs in successfully carrying out data transformations.

This session is designed to bring forward lessons learned and insights from CDOs who have conducted successfully data transformation, and how they transform data analytic insights into enterprise innovations generating sustained returns. Specifically, we will present the following three Lean Analytics enablers: First, Automation for Data Standards and Applications Interoperability; Second, Tools to aid Organization Alignment in Data Integration and Data Governance; Third, Analytics for Innovation. Taking together, these three enablers will assist enterprises in their journeys toward Lean Analytics for Innovation.

Session 9C
Title:  Data Governance Value to Analytics in Healthcare

Chair: John Talburt, Professor, University of Arkansas at Little Rock


Ken Yamaguchi, EVP & Chief Medical Officer, Centene Corporation
Christopher Dahl, Sr. Director, Data Governance & Shared Services, Centene Corporation
Alexander Mueller, Data Scientist, Centene Corporation

Abstract: The information life cycle is well-understood. Organizations plan for data, acquire it, store it, maintain it, use it, and retire it. However, of these six activities, only the use of the data creates value. Even though the other five activities are overhead, they are nevertheless essential. Centene’s mission of “Better health outcomes at lower costs” depends on accurate and timely data for analytics and business processes. Knowing the patient, the complete clinical situation, the best path forward, and the providers that can achieve it, are critical to serve those in our care.  The key fuel of that care, information, is an asset worthy of governance, investment, management and measurement.  This panel discusses Centene’s approach to data governance, the creation of a master patient identification (MPI), and the importance of quality data for analytics in delivering quality healthcare.



Coffee Break & Networking

 Ting Foyer
3:00–3:45pm Session 10  
  Town Hall Meeting – All Participants

Open Discussion

Co-Chairs: Arka Mukherjee, Chief Executive Officer, GlobalIDs – Mark Johnson, Strategic Data Management and Analytics Executive Leader, Fusion Alliance

Concluding Remarks

Peter Anlyan, Co-Chair, MIT CDOIQ Symposium
Richard Wang, Director, MIT CDOIQ Program


End of the 2017 MIT CDOIQ  Symposium