(As of 07-19-2015)
Wednesday, July 22
7:45am – 8:45am Continental Breakfast & Registration – Ting Foyer
8:45am – 10:30am Session 1 – Wong Auditorium
Richard Wang, Director, MIT Chief Data Officer and Information Quality Program
Peter Anlyan, Anlyan Consulting (Co-chair)
Robert Lutton, Sandhill Consultants (Co-chair)
Paul Gillin, Paul Gillin Communications (Media Chair)
Bruce Milligan, Citizant (Proceedings Chair)
Sponsor Greetings – 30 seconds each
Sandy Pentland, Director, MIT Media Lab Entrepreneurship Program
10:30am – 10:40am – BREAK
10:40am – 12:20pm Session 2 – Wong Auditorium
“Tackling Data Curation”
Michael Stonebraker, 2015 Turing Award Winner, CSAIL & Computer Science Department, MIT
Description: The explosion of internal data sources, external public data sources and IoT feeds is causing a tsunami of diverse data sources for enterprises. First- and second-generation tools will not scale to meet the needs of modern enterprises, leading to new third- generation tools. Learn from the experiences of early adopters of one of these new tools about how they solved their scalability issues.
Abstract: Data curation is the process of turning independently created data sources (structured and semi-structured data) into unified data sets ready for analytics, using domain experts to guide the process. It involves:
Identifying data sources of interest (whether from inside or outside the enterprise)
Verifying the data (to ascertain its composition)
Cleaning the incoming data (for example, 99999 is not a legal zip code)
Transforming the data (for example, from European date format to US date format)
Integrating it with other data sources of interest (into a composite whole)
and deduplicating the resulting composite data set.
The more data you need to curate for analytics and other business purposes, the more costly and complex curation becomes – mostly because humans (domain experts, or data owners) aren’t scalable. As such, most enterprises are frustrated as they try to cope with data curation at scale. We call this problem “Big Data Variety.”
This talk discusses the experiences of early adopters of the Tamr data curation system in putting a third-generation system into production on enterprise data. Specifically, we comment on what problems they tackled, how they organized the process, how they used domain experts and what issues they had to overcome. The early adopters come from multiple industries, including banking, manufacturing, pharmaceutical and information services.
Venkat Achanta, Chief Data Officer, Walmart
12:20pm – 1:00pm LUNCH – Ting Foyer
1:00pm – 1:45pm Session 3A – Wong Auditorium
“The Role of the CDO in Improving an Organization’s Cybersecurity”
Stuart Madnick, MIT Sloan School of Management
Abstract: We know that a key responsibility of the CDO is generating value from an organization’s data, but it is also becoming obvious that someone, probably the CDO, needs to help assure the security of that increasingly valuable data. In the past, a lot of attention has been directed at the hardware and software, such as better cypto codes, but it is important to also address the managerial, organizational, and strategic aspects – of cybersecurity which directly match CDO responsibilities. In this session, examples of approaches to improving these aspects of an organization’s cybersecurity will be given.
Session 3B – Room E51-145
“The Risks and Rewards of Generating Value from Data”
Anne Buff, Thought Leader, Best Practices Team, SAS
Abstract: In our rapidly developing digital economy, every business is in the business of data (regardless of how ready we are to admit it). Generating value from data should be top of mind for every CDO and for many reasons. With advancements in technology to capture, store, manage, package and deliver data, opportunities for data monetization are abundant. And, so are the challenges and risks. In this session, we will review the imperatives for delivering business value through data. We will introduce the sources of value that keep information businesses competitive, the requirements for driving value through data asset management and three models for selling information products and services. While it will be exciting to consider the possibilities, we will also consider the accountability and responsibility necessary for managing risks, maintaining regulatory compliance and understanding the privacy and ethical approaches required for selling data.
Session 3C – Room E51-149
“The Industrial Internet and Data Quality”
Richard Soley, Chairman and CEO, OMG
Session 3D – Room E51-151
“Data Visualization in Practice: Strategies for Presenting Data More Effectively”
David Goldstein, President, Mekko Graphics
Abstract: Do you know which chart to choose to persuade senior management? No matter how much effort you’ve put into organizing, validating and analyzing data, if you choose the wrong data representation your insights will be lost on your audience. In this session, you’ll learn why selecting the right chart is critical, how to match the correct chart to the data you have and the insight you want to present, and how to tweak your charts for maximum impact. We will draw on lessons learned from top strategy consulting and private equity firms and from marketing, strategy and financial analysts at the world’s largest companies.
1:45pm – 2:00pm Break
2:00pm – 3:00pm Session 4 – Wong Auditorium
“From Vision to Value: Competing in the Insight Economy”
Robert Picciano, Senior Vice President, IBM Analytics
Abstract: Every organization, in every industry, in every corner of the world, has grappled with the challenge of unlocking the power of data, in all of its forms. The Chief Data Officer is leading the way.
Today, organizations still spend 80 percent of their time trying to find the best ways to integrate diverse data sources. Compounded by the complexity of exogenous data and the fast-moving data generated by the Internet of Things, organizations are essentially drowning at the starting gate untapped value. That is because they don’t have the necessary capabilities to integrate all the data, exploit it and secure it.
The challenge today is not so much Big Data, but Fast Data – because we need to enable fast, actionable insight – in real-time or near real-time — to make business decision making, customer engagement and business processes across every industry and domain, smarter and more disruptive.
IBM is uniquely positioned to help organizations harness all data and capture the untapped value being generated in this new “Insight Economy.” Key to this effort are the increasing numbers of data-driven professionals focused on turning data into actionable insight for an organization. This includes the growing legions of insight-savvy knowledge workers and emerging roles like Chief Data Officers and Data Scientists.
3:00pm – 3:30pm BREAK
3:30pm – 5:45pm Session 5 – Wong Auditorium
“Industry Solutions: Manage & Exploit Big Data And IQ”
Chair: Robert Lutton, Sandhill Consultants
Session 5A – Wong Auditorium
CDOIQ Symposium Platinum Sponsors
3:45 – 4:30pm “Accelerating Enterprise Big Data Success: Bigger Data – Smarter Analytics – Better Insights”
Mykola Hayvanovych, Global Director of Data Science, Intel
Abstract: Today’s technologies allow us to continuously generate vast troves of data about everything from customer transactions to genome sequences. These data collections hold tremendous potential to solve problems, create economic growth, and improve our quality of life. In this talk we will push the envelope of Data Science on Hadoop and dive into several high impact success stories that were achieved through applications of cutting-edge large-scale Machine Learning, Data Mining, and Graph algorithms to massive amounts of data in various industries and verticals. Please join us for this exciting and impactful talk.
4:30 – 5:15pm “Global Macro-Trends Influencing CDO’s Information Strategy”
Asim Tewary, Managing Director, PwC
Abstract: Powerful forces are reshaping the marketplace. Customer expectations, technological capabilities, regulatory requirements, demographics and economics are together creating an imperative to change. CDO’s need to get ahead of these challenges and retool to win in the next era. CDO’s must not only execute on today’s imperatives, but also radically innovate and transform themselves for the future
5:15 – 6:00pm “Big Data Morality: How SAP balances business value and business values”
Ken Demma, VP, Office of the CIO, Analytics, SAP
Abstract: Big Data is all around us: part of what we do, a promise of what’s possible by our business leaders, and what our customers are expecting in terms of interaction, personalization and relevancy. But what does all this mean? In this presentation, Kenneth Demma, Vice President of Big Data Analytics at SAP, will share how SAP navigates the value that Big Data promises, within the values by which the company operates the business. He will examine how SAP brings value to customers and also maintain their trust. He also provides perspective on Big Data-based analytics and its impact on data governance. Questions of business value versus corporate values will be posed, as will a framework for thinking through the process.
Session 5B – Room E51-145
CDOIQ Symposium Gold/Silver Sponsors
3:45 – 4:15pm “The Evolution of Today’s Big Data Environment: Innovation with Unstructured Data for Strategic Outcomes in Healthcare and Financial Services”
Joe Caserta, President, Caserta Concepts
Abstract: Organizations are challenged with managing an unprecedented volume of structured and unstructured data coming into the enterprise from a variety of verified and unverified sources. With that is the urgency to rapidly maximize value while also maintaining high data quality.
Today we start with some history and the components of data governance and information quality necessary for successful solutions. I then bring it all to life with 2 client success stories, one in healthcare and the other in banking and financial services. These case histories illustrate how accurate, complete, consistent and reliable data results in a competitive advantage and enhanced end-user and customer satisfaction.
*Healthcare – With the increasing use of electronic health records (EHR) and electronic medical devices (IoT), data analytics has become an essential part of the healthcare industry. Our client, one of the world’s largest managed healthcare companies, sought to enhance member services through Big Data. I’ll talk about how we built an analytics platform to extract insights from new sources of data to achieve a holistic member view. The healthcare provider now successfully manages new inbound data for data science exploration and automated analysis.
*Banking and Financial Services – The electronic trading division of a global banking giant manages was ingesting extremely high volumes of data — 500k events/sec – or 12B messages each and every day. Our client must monitor trades for signs of any fraudulent activity and was using a number of different solutions and technologies to watch for risk, compliance and fraud. I will talk about how we built an integrated, single platform to monitor and deliver real-time analytics, resulting in streamlined operations that were less expensive to maintain, scaled higher and reduced overall cost.
4:20 – 4:50pm “Implementing Strategic Data Governance – A Case Study”
David LeVine, Vice President; Mark Johnson, Strategic Data & Analytics Executive, Fusion Alliance
Abstract: This case study will frame a common set of data management challenges and present the framework that was used to define and implement Strategic Data Governance at a large financial services organization.
4:55 – 5:25pm “Data Transparency: The Indispensible CDO Toolkit”
Bill Winkler, Chief Technology Officer, Global IDs
Abstract: Metadata is arguably the most valuable data asset an organization can own. Yet lack of a sufficiently comprehensive metadata repository is problem many organizations face.
No data management strategy of any significance can be implemented without the requisite metadata. It provides transparency into where data originates, where it is used, and how it gets there. It is what enables organizations to understand what data exists, what it means, and the business purpose it serves.
The more opaque the landscape, the more difficult it becomes to answer even basic questions about the contents of a firm’s data assets. On the flipside, a comprehensive set of high-quality metadata is an asset that can be leveraged over and over again across many different initiatives. For example, data flow and impact analysis metadata are indispensible for developing strategies to reduce data risk, cull redundant and obsolete data, and make tangible improvements in data quality.
This presentation argues that targeted investments in metadata automation will enable data management organizations to accelerate key data strategies and dramatically improve the outcomes of data intensive projects.
5:30 – 6:00pm “Designing Information Supply Chains for CDO’s Modern Data Demand”
Murthy Mathiprakasam, Principal Product Marketing Manager, Big Data, Informatica
Abstract: Organizations are recognizing the strategic importance of data and are turning to Chief Data Officers for leadership. With growing data volumes and variety, increased data-driven decision-making, and increased data-driven threats, CDOs have a tough job. The first key to success is understand the evolved information supply chain that CDOs must deliver to efficiently enable the growth of data supply and demand. The second key to success is leveraging technology to intelligently understand data relationships for ensuring enterprise requirements like quality, auditability, and security. Using this approach, organizations can holistically develop customer relationships, confidently comply with regulations, and efficiently analyze more data. In this session, learn how you can deliver clean, safe, and connected data to fuel your business.
Session 5C – Room E51-149
CDOIQ Symposium Silver Sponsors
3:45 – 4:15pm “Data Management at the Crossroad of Governance and Quality – Metadata Intelligence”
Robert Lutton, Vice President of Sales and Marketing, Sandhill Consultants
Abstract: The emergence of the role of the Chief Data Officer has resulted in greater visibility of Data Governance issues that have confronted data management professionals for years. Enterprises are now coming to grips with the increasing importance of the reliability of data that is provided to internal and external consumers. The creation of a data quality industry segment can be seen as a response to these issues.
The adage “you can’t manage what you can’t measure” has a corollary “you can’t measure, what you can’t find”. The focus of data processionals has shifted from “filing” data to “finding” data. A necessary part of this redesign is the auditability of the data infrastructure that supports the business. Trust in the data can be directly related to the ease of tracing its origin.
This presentation explores metadata and its oversight as the “value core” of data governance and data quality.
4:20 – 4:50pm “Driving Data Value: Successful Data Governance and Stewardship in Complex Organizations”
Stan Christiaens, Co-Founder and Chief Operating Officer, Collibra
Abstract: Data Governance is the cornerstone of creating value from data. Your data cannot reach its potential audience without the confidence that it is the right data of the right quality used for the right purpose. Building that confidence requires data governance and stewardship that is embedded in the organization, and that can easily adapt as it grows and changes. Organizations must implement a flexible operating model to handle the day-to-day tasks of governance and stewardship. Managing the business glossary, curating reference data, handling classifications, taxonomies and hierarchies, setting and reviewing policies and rules, measuring compliance, monitoring quality and resolving issues, can be fully automated and integrated. This results in seamless stewardship and continuously improving governance, which improves the quality and visibility of data and creates increased value from data assets.
Collibra has worked with organizations to define and automate these operating models, and developed solutions to satisfy their various regulatory, operational and strategic demands. As business data grows in scale, complexity and velocity and companies strive to gain access to more diverse data sets that span cloud, services, social technologies and mobile devices, the need for automated and integrated data governance becomes more apparent. Join us and learn how companies and organizations around the world have increased the value of their data.
4:55 – 5:25pm “Leading From the Middle: Critical Skills in Bridging IT & Business Interests for Data Success”
Will Crump, President; Matt Eversmann, VP Leadership Development, DATUM LLC
Abstract: In this session, Will Crump & Matt Eversmann will discuss the challenge of leading a team that aligns the needs of the business & their IT counterparts. Critical skills like “leading from the middle” and the value of leadership and followership are outlined to create a lasting atmosphere of success in cross-functional teams.
5:30 – 6:00pm “The Gold Rush to Monetize BIG DATA”
Shawn Gilleran, Chief Architect, Black Oak LLC
Session 5D – Room E51-151
CDOIQ Symposium Silver Sponsors (cont’d)
3:45 – 4:50pm “Global Standards for Financial Accounts Data”
Justin Magruder, President & CEO; Diane Schmidt, Managing Director, Noetic Partners (Platinum)
Abstract: The global financial services industry deals with tremendous risks every day, many rooted in the velocity, complexity and scale of data that must be exchanged in real-time so that decision-makers can act before the next realized risk. As a result, industry participants must be able to reliably exchange data and quickly and accurately analyze content without mistakes. In addition, industry participants are constantly innovating in order to deliver new financial products and more efficient processes to demanding customers. Legal and regulatory officials often prescribe standards and terminology based upon yesterday’s information instead of tomorrows innovations. Reconciling these product innovations with rules and regulations can present significant legal and operational risks. Bringing order to this fundamentally chaotic system is a tremendous challenge. To meet this challenge, we propose to improve market transparency and efficiency and this requires that we implement a new architectural and terminological standard for Financial Accounts.
4:55 – 5:25pm “Sorry, No Data for You: A Zero Trust Approach to Data Management”
Paul Terry, President & CEO, PHEMI
Abstract: We used to rely on the trusted network firewall to secure our organization’s data, but those days are gone. Now, data volumes and data types are exploding. We need to protect sensitive data while at the same time support mobile users on all manner of devices. We have competitive imperatives to integrate and share data in real time and at scale. These challenges cannot be met with traditional perimeter-based security.
This session will explore a “zero trust” approach to data management, where users either have a “right to know” or the system “denies any existence.” It seems exclusive, but that’s the point. Today, we need simple, powerful, flexible protection frameworks that allow rightful access and facilitate legitimate data sharing, but where access to protected data is “zero trust”–denied by default.
Today’s technologies make it possible for every data request to be automatically mediated by access policies. By operationalizing governance policies right into the data management system and embedding privacy, data security, and governance attributes right into the data, the system can automatically enforce rightful access, regardless of how the user, or application, is connected.
In this session, Paul will describe a model based on attributes that describe the sensitivity of the data and a user’s authorizations, and combines these into simple but powerful access policies that can form the foundation of a zero trust data management system. Paul will also explore how zero trust data management can enhance data sharing, simplify infrastructure, and reduce costs.
6:00pm – 7:30pm Symposium Reception – Ting Foyer Hosted by Robert Lutton (Co-Chair) and Peter Anlyan (Co-chair)
Thursday, July 23
7:45am – 8:30am – Continental Breakfast & Registration – Ting Foyer
8:30am – 10:30am – Session 6 – Wong Auditorium
“Day 2 Opening Remarks”
Richard Wang, Director, MIT Chief Data Officer and Information Quality Program
“MIT Round Table and MIT CDO Forum in Crystal City Update”
Yang Lee, Group Coordinator, Northeastern University
“CDO Pulse: Creating Actionable Knowledge to Advance CDO Practice”
Peter Anlyan, Co-Chair, MIT 2015 CDOIQ Symposium
Laura Hahn, Senior Data Governance Consultant, TD Ameritrade
John Fleming, Head of Data Governance, BNY Mellon
Mark Ramsey, Chief Data Officer, GlaxoSmithKline plc
Derek Strauss, Chief Data Officer, TD Ameritrade
Michael Vapenik, Data Governance Officer, American Express
10:30am – 10:45am – Break
10:45am – 11:45am Session 7A – Wong Auditorium
“Data Professionals – How to Find, Hire, and Retain the Best Talent”
Chair: Michael Rappa, Director, Institute for Advanced Analytics
Lynda Abend, Chief Data Officer, John Hancock Financial Services
Kelsey Calhoun, Director & Manager, Operational Analytics and Reporting, Liberty Mutual
John Pyhtila, Head of Analytics, Cigna
Gopal Subramanian, SVP and Data Science and Analytics Practice Lead, Fidelity Investments
Abstract: With the ever growing influx of data, great strides are being made in advancing a wide array of technologies for data management and analytics. However, what continues to be a nagging issue for many companies is the availability of data savvy talent—data scientists and engineers—with the necessary skills to handle the large volume and variety of data being generated. The persistent and severe shortage of talent threatens to limit or even halt the progress organizations are making toward transforming their data into actionable insights. This panel will explore strategies for identifying and recruiting data professionals, how to best organize and engage them in moving your business forward, and how not to lose them to the intensely competitive marketplace given the high demand for their skills. Topics for discussion include:
— defining talent requirements
— proven strategies for recruiting entry-level and experienced candidates
— productive ways for organizing data professionals within the larger enterprise
— career tracks for data professionals
— internal training and development activities
— compensation trends
— retention challenges and strategies
— role of CDO in talent acquisition, development and retention
The panelists bring both a depth and breadth of experience from the financial services and healthcare sectors.
Session 7B – E51-145
“Data Analytics and Data Analysis in the Era of Big Data”
Donald Soulsby, VP Architecture Strategies, Sandhill Consultants
Abstract: As an enterprise moves from historical business intelligence (BI) reporting to predictive analysis founded on Big Data, the significance of data quality cannot be underestimated. By observation, using conventional BI tools, the consumer of the information can drill down through the report to the detail when the aggregate number does not “feel” right. It is within this process that data anomalies can be detected. This will not be possible with Big Data due to the sheer volume and complexity of the data. The presence of very high quality data in Big Data collections will become vital for successful outcomes.
This presentation will look at the elements of data quality that will be required to make effective use of algorithm based data analysis and predictive analytics. Based on the Data Management Maturity Model from the CMMI Institute, we will review the capabilities of an effectual Data Quality program. We will look to the competencies required to evolve to the level of quality necessary to support data analysis and analytics with Big Data.
Session 7C – E51-149
“EDM Council’s Approach to Financial Industry Practice”
John Bottega, Principal, Data Management Advisory Services, EDM Council
Abstract: Currency has been a part of man’s existence for centuries. Whether a stone, a shell, a forged coin or a piece of paper, people have associated value to money. But, according to Investopedia, currency, in and of itself, has had no value. Currency, instead, derived its value from being a medium of exchange, a unit of measure and a storehouse for wealth. In today’s digital world, data is becoming the new currency. And as its volume grows, so does it’s intrinsic value.
As data professionals, we have to understand how to properly curate this medium. We have to fully understand the challenges in managing this data, and approach these challenges in the most effective and methodical way. In this session, John Bottega, Senior Advisor to the EDM Council, will discuss these challenges, show how adhering to best practices are critical to successful data management, and discuss benchmarking methods that are being used to measure, compare and contrast data management programs across industry.
Session 7D – E51-151
“Applied Infonomics: Measuring the Economic Value of Information Assets”
Doug Laney, VP & Distinguished Analyst, Gartner
Abstract: Information is understood broadly to be a critical enterprise asset, yet is neither treated nor formally valued as such. This session will introduce the range of business benefits to information valuation and lay out a path to quantifying and improving the return on information. Attendees will learn Gartner’s models for valuing information as an actual corporate asset, leading to its improved deployment as a fuel for business performance, amplification and transformation. In this session, Mr. Laney will cover 1) why information should be recognized as a formal asset, 2) what are the principles of infonomics and how can they be implemented, 3) How organizations can quantify the value of their information assets.
11:45am – 12:30pm– Lunch – Ting Foyer
12:30pm – 2:15pm Session 8A – Wong Auditorium
“Cross-Agency Government Panel”
Chair: James Meng, Deputy Assistant Secretary of the Navy, Enterprise Business Solutions
Dan Chandler, MAX Shared Services Project, OMB
Mark Krzysko, Deputy Director, Enterprise Information, OUSD(AT&L)/ARA
Rick Lauderdale, Chief Architect, US Department of Energy
James Miller, Senior Attorney Advisor, Office of Engineering & Technology, FCC
William (Bobby) Saxon, Col., US Army G-3/5/7 DAMO-FME
Bereket Tanju, BI Director, ASNFMC
Abstract: There is a series of Legislation and Executive Policies set Top Level Federal Data Requirements. The December 2010 National Strategy for Information Sharing establishes policy of accountability, access, common standards, and interoperability. Information Sharing Environment (ISE) was established to enable responsible information sharing for national security. The January 2011 Government Performance and Results Act (GPRA) Modernization Act of 2010 requires transparency of programs, priority goals, and results. The May 2014 Digital Accountability and Transparency Act (DATA) Act establishes data standards, mandates the disclosure of federal agency expenditures, streamlines reporting, and requires that data be available online to taxpayers and policy makers within 3 years. Data.gov, a platform was established for free access to data generated across all federal agencies to move past barriers in providing the public with unprecedented access to useful, unfiltered government data.
Federal Departments and Agencies are building capabilities that collectively satisfy the top-level requirements. This panel presents a broad view of BI & IS initiatives from FCC’s across the US population of the Nation to agency-specific Departments of Energy and Defense, Army and Navy. Each panelist is carrying out their BI & IS initiatives; based on responsibility they each occupy a place on the mapping of Professor Davenport’s Evolution of Analytics. Their perspectives are different both in scope and degree of maturity.
FCC is on public crowd sourcing, deals with science and privacy and policy all at the same time, explicit sharing authorization is very important. OMB provides a shared service, it provides survey, and IT support in privacy and security protection across all budget-submitting Agencies. While amateur are talking about strategy, professionals talk about logistics. DOE initiative is a clear example how BI & IS are solving a root issue of cyber security. OSD AT&L deals with a $200B procurement Plan, had to meet requirements not only in performance, but also FARs and competitiveness among contractors and sensitive to Congressional and Community politics. Policy gaps are especially their focus to push IS. Army initiatives are the most advanced among us, it has not only Descriptive Analytics but also Prescriptive Analytics for Global Force Planning. Navy has succeeded in pushing forward data standardization and achieved significant BI & IS objectives.
Session 8B – E51-145
“CDO Trends and Directions in the industry”
Chair: Paul Gillin, Paul Gillin Communications
Josh Clarke, Partner, Heidrick & Struggles
Randy Bean, Wall Street Journal Contributor; CEO & Co-Founder, NewVantage Partners
Session 8C – E51-149
“Data Integration for B2B Business Agility: A Panel Discussion with Red Hat and Dun & Bradstreet Corporation”
Chair: Chris Lucas, VP Global Solution Architecture, Dun & Bradstreet
Mike Lukaszevicz, VP of Technology, Dun & Bradstreet
Suzy Steele, Director of Operations Data Management, Red Hat
Jeff Castor, Data Operations Manager, Red Hat
Abstract: In this session panelists from Red Hat and Dun & Bradstreet will discuss strategies and practices to help your organization drive competitive advantage and go-to-market efficiencies through the use of better data – and a more comprehensive data strategy. Key topics covered will include:
- Globalization – how to approach a data on a global basis as a key asset in your growth objectives
- Customer relationships – how to leverage data as a key asset in driving better, more profitable customer relationships in the marketplace
- Best practices being utilized within Red Hat and other Fortune 1000 organizations to reduce the cost of operations through better data integration across systems
- How to overcome some of the data transformation challenges as you tackle enterprise-wide data integrity
Session 8D – E51-151
“Birth of the Healthcare CDO: Facing the Uncomfortable Realization that Information and Technology are Different Domains”
Nicholas Marko, MD, CDO, Geisinger Health System
Chuck Boicey, Enterprise Analytics Architect, Stonybrook Medicine
Eugene Kolker, Chief Data Officer, Seattle Children’s Hospital
2:15pm – 2:30pm– Break
2:30pm – 3:45pm Session 9A
MIT 2016 CDOIQ Symposium Executive Committee Meeting
Session 9B – E51-145
“The Role of the CDO in Risk Management”
Chair: Jim Gilligan, President & CEO, Blue Cross Life
Riccardo Baron, Big Data & Smart Analytics Lead Americas, Swiss Re
Session 9C – E51-149
“Challenges and Solutions in Healthcare Cybersecurity”
Jigar Kadakia, Chief Information Security Officer, Partners Healthcare
Mike Yamamoto, Lead Security Engineer, Beth Israel Deaconess Hospital
Session 9D – E51-151
“Financial Industry Panel”
Chair: Jamie Popkin, VP & Distinguished Analyst, Gartner Research
Michael Andrud, EVP & Chief Data Officer, PNC
David Blaszkowsky, Senior VP, Enterprise Data Governance and Management, State Street Corporation
Rajendra Patil, Head of Data Strategy, BNY Mellon
3:45pm – 4:15pm – Closing Remarks & Open Discussion – Wong Auditorium
Chair: Richard Wang, Director, MIT Chief Data Officer and Information Quality Program