2020 MIT CDOIQ Virtual Symposium Agenda
Tuesday 18 Aug 2020
8:30 am - 9:00 am Session 1A - Welcome
Session 1: Welcome & Opening Remarks
Richard WangZoom Room
9:00 am - 10:00 am Session 1B - Keynote
Keynote Session 1B: Title TBD
Dr. Lauren GardnerZoom Room
10:00 am - 10:15 am Day 1 BREAK 1
10:15 am - 11:15 am Session 2 - Keynote
Keynote Session: Digital Social Innovation
Audrey TangZoom Room
Audrey Tang | Digital Minister | Taiwan
When we see “internet of things”, let’s make it an internet of beings.
When we see “virtual reality”, let’s make it a shared reality.
When we see “machine learning”, let’s make it collaborative learning.
When we see “user experience”, let’s make it about human experience.
When we hear “the singularity is near”, let us remember: the Plurality is here.
11:15 am - 11:30 am Day 1 Break 2
11:30 am - 12:30 pm Session 3
Session 3A: Understanding the Impacts of COVID-19: Responsible Data Practices for Solving Societal Problems
JoAnn StonierZoom Room
JoAnn Stonier | Chief Data Officer | Mastercard
The need for secure, accurate and expedient data sharing among organizations has
become increasingly apparent as the economic, social and political impacts of the
COVID-19 pandemic continue to evolve. Commercial enterprises are sharing data
insights to help their customers and partners understand and navigate the economic impacts of the virus. Governments are collecting and sharing large amounts of data with commercial enterprises, health care providers and the public – to both manage public health implications and create a safe return to economic and social activities. Mastercard’s Chief Data Officer, JoAnn Stonier, will explain why organizations need responsible data practices to guide the sharing of information with each other – as well as methodologies and comprehensive processes to innovate across ecosystems during these challenging times.
Session 3B: The good, the hype, and the reality of making AI work in practice: It’s all about the Data
Usama FayyadZoom Room
Usama Fayyad | Chairman & CEO @ Open Insights | Co-Founder & Advisory CTO @ OODA Health Inc.
Artificial Intelligence (AI) has been receiving a lot of hype as a magical solution for many difficult problems. Some have started to worry that AI would not only take over their jobs but also take over control of work and perhaps personal life. In the meantime, many businesses feel pressured that if they are not leveraging AI now, they may miss the boat on the next wave to digitization and business automation.
I have been invited by many executive teams and corporate boards, both public and private, to explain what parts of this technology are real, what parts are hype, and most importantly what they need to do in their business in the short and medium terms to make sure they are keeping up with the best technology practices globally. In this talk, I attempt to demystify most of these concerns by simply describing in reality what has worked and what has not. The main theme is that the technology can be extremely useful and powerful, but is nowhere near the hype associated with it. The main themes I will cover are:
A brief history of AI: the fundamental challenges and why we are, and will be safe, from replacement by robots in the foreseeable future… This will help us to crystallize what has actually worked and why
Winter is coming: We are on the verge of a third AI winter. But this does not mean that we should ignore the parts of the technology that work. It turns out, while most of AI has failed (with some very notable exceptions). Machine learning (ML) is behind most of what has worked. This has major implications as most of ML algorithms succeeded not because of great algorithm design, but primarily because a lot more data became available.
Data and Data Science are critical to making most of AI work. We thus go into what the issues are in making data, especially BigData – which allows for the proper utilization of the majority of data in any organization (unstructured data).
The CDO is Responsible for AI Working? In reality most CDO’s do not understand this responsibility and many are not equipped to deal with it. This gap needs to be addressed properly if organizations are to benefit from their data assets.
Licensed to Analyze? : The industry of Data Science is thus becoming super critical, yet we struggle to define roles, standards and an ability to scale and assess capabilities, We cover our industry initiative (IADSS) to bring standards and understanding to this space
Despite all the hype, with the right Data in place, ML/AI are making their way into all kinds of business operations today as more companies explore how they can put their data to work. Among the most common reasons to apply ML to business processes is the ability of the technology to perform certain functions at scale, which would otherwise require significant amounts of time and resources. Data is the fuel that powers a machine learning solution and machine learning is the key to make most AI algorithms practical.
Session 3C: Driving Analysis and Intelligence through Data Management
Mark KrzyskoZoom Room
Mark Krzysko | Principal Deputy, Acquisition Data and Analytics | Enterprise Information | Acquisition Analytics and Policy
In any organization, the ability to make informed decisions relies on the availability of authoritative, trusted data. This panel will explore the critical aspects of foundational data management efforts and the ways that they drive effective data strategies, data analytics, and artificial intelligence.
Session 3D: WHY DATA EXCHANGE IS THE MUST-HAVE CAPABILITY OF SUCCESSFUL DATA-DRIVEN ORGANIZATIONS
Effective data strategies and governance have never been so crucial in 2020 as most organizations’ strategies to mitigate the impact of the economic crisis rely on data. It is also increasingly clear that those strategies require solid Data Exchange capabilities to be most successful, as reinforced by the World Economic Forum and the World Health Organization. Exchanging and sharing data at scale between organizations of any type has the potential to create a lot of economic value, but hurdles to data circulation still exist: data available for innovative re-use is often missing, data sources are fragmented and there is a lack of trust between economic stakeholders as well as of legal clarity on the use of data. Data Exchange properly implemented within organizations addresses these challenges.
During an interactive session, Dawex Senior Vice President of Strategy and Alliances, Didier Navez, together with Strategic Advisor in Data Exchange, Anne Høyer, will explore with the audience, and illustrate with real-life examples, why every organization in the private and public sector should formally implement Data Exchange capabilities, what are the measurable benefits, but also the risks of not doing so, and finally how to put in practice innovative approaches to accelerate the circulation of data inside and outside your organization, cross-sector and cross-border.
1:00 pm - 1:45 pm Virtual Yoga Session
Deloitte and Informatica Hosted: Women in Data Mid-day Namaste
Deloitte & Informatica
Together with Informatica, Deloitte is hosting a mid-day virtual yoga session on day one of the MIT CDOIQ Symposium! Roll out your mat and plan to spend some of your lunch hour with us so you'll head into the afternoon sessions feeling refreshed! This vinyasa flow class will be taught by a certified CorePower instructor.
The first 40 registrants will receive a custom Lululemon t-shirt!
2:00 pm - 3:00 pm Session 4
Session 4A: Rethinking Weather: The Resilience Imperative and the Power of Data
Paul WalshZoom Room
Paul Walsh | Global Director, Consumer Weather Strategy | IBM
In a time of increasing weather chaos, weather data is empowering companies, saving ecosystems, protecting communities, engaging consumers, and informing investors to build a more resilient world.
In this presentation, Paul discusses how companies / governments are leveraging AI, weather data and media technologies to rethink how they adapt and respond to the increasing impact of weather on consumers and communities and in doing so, are creating more profitable and resilient enterprises.
Session 4B: Journey to Building a Mature Data Culture at the London Stock Exchange Group (LSEG)
Diane Schmidt & Tom DunlapZoom Room
LSEG is committed to dramatically maturing its data ecosystem, literacy and culture. The need for improvements in the pursuit of brand excellence is also driven by a continuously evolving landscape, specific and strong management objectives, the need for scale and resiliency; and more scrutiny by regulating entities.
Data maturation is not a onetime event and requires a set of dedicated resources with the ability to define the vision, mission, objectives, outcomes, and measures. The on-going LSEG Data Program is one that has required thoughtful planning, crisp execution and ability to simply explain how all the seemingly disparate pieces fit together with the corporate objectives.
LSEG has a unique opportunity to demonstrate its data management journey and why, as a financial infrastructure leader, it’s important to change behaviors that ultimately progress maturity and better achieve its business objectives including clients, transacted market events, reputation and commercial impact.
Session 4C: Racing to Last Place: Death Without a Digital Evolution
Henna KarnaZoom Room
Henna Karna | Chief Data Officer | Managing Director | AXA XL
Although the importance of data is impossible to ignore, organizations that are committed to being data-driven must take a thorough look at a few key factors: (1) The positioning of their data strategy across other ‘strategies’; (2) The importance of building data assets and products; (3) The delineation across Data & IT; (4) The clarity of the target state and what a digital firm would need to behave like.
In this session, we will walk through some key characteristic of a data strategy. We will walk through some examples of how we have been able to achieve remarkable success in our approach here at AXA XL (Global Commercial, ~$20B firm, across 52 countries). The need for healthy and collaborative partnership across Data and IT will be highlighted as a necessary goal to encourage positive culture within the firm. And lastly, we will also talk about the metrics and measurements that will make sure we will get to our target state and not be stuck in place.
Session 4D: How Data & Analytics Are Powering the New World Order
Fusion AllianceZoom Room
Mark Johnson | Executive Data Leader | Fusion Alliance
David Holtz | PhD Candidate in the Information Technology Group | MIT Sloan
This session will introduce a powerful new dataset – Places Data - and explore how it has been created and used to inform analysis across a variety of industries and public sector domains. This data, together with other datasets that are now available such as weather data, are being consumed to enable enterprise analytic use cases emerging as a result of the rapid transformation to a digitally dependent world order.
Case Study: Social distancing is the core policy response to coronavirus disease 2019 (COVID-19). But, as federal, state and local governments begin opening businesses and relaxing shelter-in-place orders worldwide, we lack quantitative evidence on how policies in one region affect mobility and social distancing in other regions and the consequences of uncoordinated regional policies adopted in the presence of such spillovers. To investigate this concern, we combined daily, county-level data on shelter-in-place policies with movement data from over 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics to estimate the geographic and social network spillovers created by regional policies across the United States.
3:00 pm - 3:30 pm Day 1 Break 4
3:30 pm - 4:30 pm Session 5
Session 5A: Ensuring Success in the Chief Data Officer Role
Randy BeanZoom Room
Randy Bean | CEO/Founder | NewVantage Partners & Industry Columnist
Bob Darin | Chief Data & Analytics Officer | CVS Health
Krishna Cheriath | Chief Data Officer | Bristol Myers Squibb
JoAnn Stonier | EVP/Chief Data Officer | Mastercard
Danielle Crop | Chief Data Officer | American Express
Richard Goldberg | Managing Director & Chief Data Officer | Bank of China, USA
According to NewVantage Partners recently published CDAO survey, firms continue to struggle with the role and function of the Chief Data Officer (CDO/CDAO)– 72.1% of firms report that the CDO/CDAO function remains an unsettled role, while only 27.9% describe the role as being successful and established. In this session, we bring together a cross-section of leading industry Chief Data Officers to discuss the challenges and opportunities inherent in the CDO role, and learn how organizations can avoid common pitfalls and increase their probabilities for success.
Session 5B: New Data Analytics Frontiers for the DoD
Michael ConlinZoom Room
Michael Conlin | Chief Data Officer, Department of Defense | The Pentagon
At the 2019 MIT CDOIQ Symposium, Michael Conlin discussed some of the challenges he faced in his initial year as the DoD’s first Chief Data Officer. Now, after another year of progress, Mr. Conlin has been named the Department’s first Chief Business Analytics Officer. The shift marks a milestone in the Department journey toward higher quality data, as well as a new focus on leveraging analytics to turn that data into insights on cost and performance. Mr. Conlin’s presentation will explore both of these topics.
Session 5C: The Good, the Bad and the Ugly: Comparing modern data & analytics to the 1960’s Spaghetti Western
Mark Ramsey, Ph.D.Zoom Room
Mark Ramsey, Ph.D. | Managing Partner | Ramsey International, LLC
The journey of an organization to deliver enterprise data & analytics has many similarities to the plot of what is now considered one of the greatest and most influential Western movies. The movie plot focused on gunslingers competing to find fortune in a cache of buried gold, amid the chaos of the Civil War – doesn’t that sound painfully similar to an organization’s quest to find fortune in a cache of buried data, amid the chaos across the business? Mark will share his approach to avoid the Bad and the Ugly to reach the fortune in buried data and drive a successful (Good) outcome.
Session 5D: Unleashing the power of women in data
Beena Ammanath | Executive Director of Deloitte AI Institute, Deloitte Consulting LLP|
Ashley Van Zeeland | VP Development, Product Integration and Customer Collaboration | Illumina
Barb Latulippe | IT Executive, Enterprise Data and Analytics | Edwards Lifesciences
Deepa Bajaj | Vice President, Data, Analytics & Engineering Executive | PayPal
It’s a new era of leadership. Teams are more gender-diverse and women technology leaders are overcoming the gender gap to forge successful careers. Join our panel discussion to hear from women who are leveraging data to tell compelling brand narratives – both for their organizations and for their personal brand. Gain insight and perspective into what it takes to smash IT’s glass ceiling and support the next generation of women leaders.
4:30 pm - 4:35 pm Day 1 Break 5
4:35 pm - 5:15 pm Session 6
Session 6A: Operationalizing Data Governance
Joe Caserta | CEO | Caserta
Despite Data Governance being a hot topic at organizations worldwide, operationalizing it has continued to be a monumental hurdle. Although many leading organizations have a data governance strategy in place, few have successfully implemented and operationalized their strategies. Join renown thought-leader and founding CEO of Caserta, Joe Caserta, for a dive into how to operationalize Data Governance. You’ll learn the many business opportunities of solid data governance strategy, challenges to operationalizing data governance, and actionable guidance on how to implement data governance at your organization. Key takeaways will include how to establish a data organization, modern master data techniques, automating data and IT governance, ensuring data quality in the modern data ecosystem, generating, harnessing and sharing metadata, and data access, privacy and sovereignty.
Session 6B: The Art of the Possible with DataOps
Chris Bergh, CEO & Head Chef, DataKitchen
Today more than ever, data consumers expect trusted, original, on-demand insight to power strategic decision-making. Yet data teams have difficulty delivering due to complex toolchains, data, organizational structures, and environments. DataOps provides the path forward because it aligns the people, processes, and technologies of the entire data analytics organization. Chris Bergh, Founder and Head Chef at DataKitchen will discuss why and how companies are implementing DataOps. He’ll also share real-life examples of companies that used DataOps to quickly innovate, test, and deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.
Session 6C: Data Catalog as the Platform for Data Intelligence
Satyen Sangani |CEO & Co-Founder | Alation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Session 6D: The Predicament of the Data Commons - tragedy or comedy?
Derek Strauss | CEO & Principal Consultant | Gavroshe
Data Quality problems can be likened to the phenomenon known as the "tragedy of the commons" - a situation in a shared-resource system where individual users, acting independently according to their own exploitative self-interest, behave contrary to the common good of all users by spoiling the shared resource through their collective action.
However, increased exploitation of your organization's Data Resources may be a good thing, giving rise to the "comedy of the commons", where the more people that use the resource, the higher the benefit to each one. Does your data suffer from under-investment rather than over usage?
5:15 pm - 5:20 pm Day 1 Break 6
5:20 pm - 6:00 pm Session 7
Session 7A: Data-Driven Culture: Is Your Organization a Laggard or Leader?
Cindi Howson | Chief Data Strategy Officer | ThoughtSpot
For years, organizations have aspired to be data-driven, yet only a third of leaders say their businesses say they truly are. While many blame technology or data quality, the real culprit is usually culture.
Some think of culture as the soft issues and technology as the hard ones. But what if they are two sides of the same coin? An outdated, legacy tech stack reflects a culture of fear of failure, resistance to change, protecting the status quo - these are the laggards. Whereas a culture of innovation that embraces change, with business-first, fail fast mindset yields a modern tech portfolio - these are the leaders. Join ThoughtSpot Chief Data Strategy Officer Cindi Howson on best practices for fostering a data-driven culture to turn your organization from analytics laggard to leader.
Session 7B: Securing Data Access at Scale for Modern Data Platforms
Nong Li, CTO & Co-Founder, Okera
To meet today’s competitive demands, companies are rebuilding their data platforms, hoping to achieve new levels of business insight by eliminating data silos, utilizing the cloud, and ensuring high performance, scalability and agility. With this digital transformation, data governance and data privacy has become even more critical. It’s imperative for companies to understand what sensitive data exists and where it exists on the data platform especially with soaring data volumes and increasing regulatory complexity due to GDPR, CCPA and other emerging legislation.
COVID-19 has also brought to light the incessant need for companies to put data protection first, especially with so many employees working remotely and the likelihood that this will continue. This presents its own sets of challenges in securing sensitive company data and the higher risk of cyberattacks. It is absolutely critical that companies implement secure data access company-wide and ensure that only the right employees have access to the right data in the right format to mitigate any data risks.
This session will dive into why companies need to rethink data governance in the cloud-first and new remote working environment. We will also discuss how to find the right balance between agility and data protection, and how to secure data access at scale. It will also cover the importance of creating a culture of responsibility and key strategies to ensure success.
Session 7C: The Evolving Role of Data Governance in an AI and Data Ops world
JoeDosSantos | Chief Data Officer | Qlik
Traditional data governance had a principle aim of protecting the integrity of key business data for reporting, be it regulatory, financial or other strategic KPIs. This meant that focus was generally around data quality and lineage of critical data elements that could be found on strategic reports. But in the age of modern analytics, there is more urgency to use increasingly rawer data, creating an overwhelming task of managing and protecting potentially hundreds or even thousands of sources and fields to unlock value. This session will outline how modern data discovery and catalog techniques can be used to shift data governance further up the data funnel and how these techniques can accelerate the production of high value predictive models at speed in a Data Ops methodology
Session 7D: Co-Created Corporate Data & Analytics Strategy
Mis-alignment between the corporate strategy and the corporate data and analytics strategy risks a corporation’s ability to achieve its business outcomes and impacts the future viability of the corporation.
A robust data and analytics strategy closely aligned with the corporate strategy, is vital for achieving critical outcomes such as better customer experience, new product innovation and decreased corporate risk.
Based upon multiple client engagements across financial services, federal government and hospitality verticals, AlyData will present a proprietary data and analytics strategy framework and methodology that corporations can implement to achieve desired business outcomes.
Wednesday 19 Aug 2020
9:00 am - 10:00 am Session 8 - Keynote
Keynote Session: 2020 isCDO Awards
Michael Servaes & Dr. James MengZoom Room
Abstract: Michael Servaes, Exec Dir isCDO, and Dr James Meng, Chair isCDO Awards Committee, will introduce the ceremony and (virtually) present the winners in each of 3 categories followed by the winner introducing the projects that won the awards.
Award categories, based on A Cubic Framework For The Chief Data Officer: Succeeding In A World Of Big Data, Wang et al March 2014 (13:1) MIS Quarterly Executive, are:
- Transformation of Collaboration from Inwards to Outwards
- Transformation from Traditional Data to Big Data
- Transformation of
Value Impact from Data Service to Business Strategy
10:00 am - 10:15 am Day 2 Break 1
10:15 am - 11:15 am Session 9 - Keynote
Keynote Session: Data Harmonization: How data can unlock Business Agility
Sachin Khairnar | Managing Director, Analytics & Cognitive | Deloitte Consulting LLP
Aditya Ramachandran | Vice President, Supply Chain Data, Analytics, Automation, and Transformation | Dell
Juan Tello | Chief Data Officer, Principal | Deloitte Consulting LLP
Ashok Chennuru | Staff Vice President | Enterprise Information Architecture & Health Information Technology
Business agility is the ability of an organization to adapt quickly to market changes, respond rapidly and flexibly while maintaining a growth and cost agenda. Data is the key that can unlock these opportunities; it drives business agility which enables organizations to run the business reliability and efficiently (cost) and the ability to adapt rapidly and provide new or different products/services (growth). Business that aren’t leveraging data to adapt and evolve will continue to be disrupted and left stumbling, while their competitors capitalize on the opportunity to accelerate into a leading position.
11:15 am - 11:30 am Day 2 Break 2
11:30 am - 12:30 pm Session 10
Session 10A: Data Mastering at Scale
Dr. Michael StonebrakerZoom Room
Dr. Michael Stonebraker | Professor | MIT
Enterprises organize into independent business units (IBUs) so they can achieve business agility. A consequence of this fact is the creation of data silos in the IBUs. There is often enormous value in integrating these silos for customer cross selling, “know your customer”, optimizing supply chains, etc. We will call such silo integration “data mastering”, which is the topic of this talk. We first define data mastering (sometimes called master data management) and then indicate the characteristics of data mastering problems at large scale. Then, we indicate why traditional solutions based on extract, transform and load (ETL) and on rules systems will never scale to the size of problems encountered in the enterprise today. Following that, we argue that integration systems based on machine learning (ML) are the only viable alternatives at scale. Throughout the talk, we will use real-world examples to illustrate these points.
Session 10B: 4 of the most critical items that every CDO must know for Data and Analytics success
Sandhill ConsultantsZoom Room
Len Silverston | President | Universal Data Models, LLC
What are 4 critical items that every CDO must know for success? CDOs must be adept not only technically, but strategically and culturally. Thus, this presentation will provide principles, tools, and frameworks for the following 4 foundational keys for effectiveness: Delivering Business Value, Engaging business representatives and stakeholders, effective communications, and Transforming Business Culture.
Sandhill Consultants is pleased to partner with Len Silverston, President, Universal Data Model Inc, to present this key presentation
During the session we will explore an example from each of these core areas.
Session 10C: Leveraging Data as a Strategic Asset
Eileen M. VidrineZoom Room
Eileen M. Vidrine | Chief Data Officer | US Air Force
The Air Force Chief Data Office (SAF/CO) was established in September 2017 to drive data strategy and lead data culture in the Air Force. As the catalyst that makes Air Force data visible, accessible, understandable, linked, and trusted (VAULT), SAF/CO is guiding the strategic and tactical actions necessary to move the Air Force towards becoming a data-driven organization. SAF/CO is a disruptive force in an already mature organization. By increasing data-use and literacy to improve the efficiency and effectiveness of decisions, readiness, mission operations, and cybersecurity, we are changing the culture of the Air Force to be a more collaborative organization. The Air Force is facing an ever-more disruptive battlefield (i.e., information warfare, malicious cyber activity, and political information subversion) and to combat these threats, we need rapid advancements in our data. To ensure we have the big data in place necessary to support AI autonomy, we need to take existing data stovepipes and change the culture toward visible and accessible data while still allowing for security and appropriate access to that data.
Air Force Data must be viewed as a strategic asset that is managed by data professionals as well as program managers and executives. Agencies must understand and educate employees on the value of data, the importance of data quality, and how to transform the way they do business. A data-driven organization requires disparate data to be visible, accessible, understandable, linked, and trusted (VAULT). As such, SAF/CO is building a system in which users can securely store, access, share, and work with VAULT data in support of the Air Force’s mission and operations. The VAULT Data Platform, as it’s known, enables analytics partnerships between AF users and allows functional communities to use the state-of-the-art analytical tools they need to solve the AF’s toughest data-related challenges.
SAF/CO is building a data-driven culture one use case at a time. Our use case driven approach leverages data and applied analytics to solve problems and drive mission innovation across the AF. This presentation highlights three key efforts of the Air Force Chief Data Office: (1) Operationalizing data for the Air Force we need, today and tomorrow; (2) Addressing the current state of data by strengthening partnerships within the Department of Defense, with industry, academia, and the Federal Government; and (3) Developing standards and guidance to promote data sharing, interoperability, and integration.
Session 10D: Safely Turning Sensitive Data into Business Potential
Privacy AnalyticsZoom Room
Tom Henry | Chief Data Officer | Schnuck Markets
How can companies leverage the increasing business value of the sensitive data they manage (without running afoul of statutory regulations, or stakeholder trust)?
Our panelists engage in a deep-dive discussion focused on safely turning sensitive information into opportunities for innovation and data commercialization. Due emphasis will be placed on key data privacy issues including safe data sharing and protecting the privacy of people represented in sensitive data sets.
This session is right for you if…
- Your organization has – or wants – a data-driven growth strategy.
- You’re involved in any effort to derive business value from sensitive data.
- You are an executive charged with data-driven business outcomes.
- Your organization has challenges regarding data privacy.
12:30 pm - 2:00 pm Day 2 Break 3
2:00 pm - 3:00 pm Session 11
Session 11A: The Next Level of Automated Data Quality Measurement
Lisa EhrlingerZoom Room
Lisa Ehrlinger | Senior Researcher | Johannes Kepler University & Software Competence Center Hagenberg
Central and automated monitoring of the data quality in integrated enterprise information systems is still a major challenge. Enterprise data is usually distributed across several heterogeneous information systems and is maintained by different parties (departments). In most cases, local information systems are developed autonomously and therefore the schema development cannot be tracked reliably and complete global domain knowledge is not available. Such a heterogeneous scenario has a number of negative effects. In particular, it is difficult to monitor data quality (e.g., completeness, accuracy, and timeliness) centrally. To overcome these problems, we have developed DQ-MeeRKat, a DQ tool that exploits the power of knowledge graphs to provide a global, homogenized view of data schemas. In this presentation, I will introduce the concept and advantages of "reference data profiles", which are annotated to the knowledge graph and serve as quasi-gold-standard to automatically and continuously verify the quality of manipulated data (insert, update, delete). To ensure that changes in the knowledge graph are globally visible and reliably traceable, a blockchain is used to make the knowledge graph tamper-proof. With DQ-MeeRKat, a knowledge graph for the global integrated schema and the annotated reference data profiles, chief data officers can reach the next level in DQ measurement.
Session 11B: Success stories and lessons learned in navigating the evolving data landscape in the federal market
Bob AudetZoom Room
Bob Audet | Director, Advanced Solutions | Guidehouse
Michael Conlin | Chief Business Analytics Officer | United States Department of Defense
Dr. Matthew Graviss | Chief Data Officer | USCIS
Dorothy Aronson | Chief Information Officer | National Science Foundation
Janice L. deGarmo | Deputy Director and Acting Chief Data Officer | Department of State
Federal Chief Data Officers (CDO) and Data Leaders are faced with a myriad of internal and external forces increasing the importance of data in driving mission activities. Navigating the evolving data landscape is placing a greater need on federal agencies to become more data-driven. The growth of more rapid and complex data analyses to drive policy making and mission activities, coupled with compliance of new federal data requirements such as the Foundations of Evidence-based Policymaking Act and the Federal Data Strategy, has resulted in a flurry of data-focused activities across the federal government. This session will explore success stories and lessons learned in navigating this complex landscape from a panel of distinguished federal CDOs.
Session 11C: Title TBD
Fusion AllianceZoom Room
Session 11D: Paths to Value for the Data Executive
Traci Gusher | Principal, Digital Lighthouse | US AI & COE Leader
Dr. Sreekar Krishna | Principal, Innovation & AI-enables Cloud Transformation
Bob Parr | Principal, and Chief Data Officer | US Advisory
D&A executives, regardless of title, have the potential to drive tremendous value in their organizations but often fall short of their intended impact. KPMG, in working with Data Executives knows these roles are not homogenous - we have distilled 4 key personas. Like personality traits, each Data Executive probably has elements of each but given structural and situational constraints – has a clear dominant persona that guides their work. Each of these personas have their own unique path to greater value that will result in higher levels of organizational influence and impact.
During this 40-minute presentation, we will explore these personas and use specific examples to illustrate a sub-set of the opportunity before each.
3:00 pm - 3:30 pm Day 2 Break 4
3:30 pm - 4:30 pm Session 12
Session 12A: The Difference a CDO Makes
Douglas LaneyZoom Room
Douglas Laney | Principal, Data & Analytics Strategy | Caserta
The need for an executive responsible for an organization’s information assets today may seem obvious. But some organizations still struggle with making a business case for the role. And even existing CDOs can be confounded about how to formally justify their existence. This session will share eye-popping findings and analyses from Caserta’s study of hundreds of organizations with and without a CDO.
Session 12B: Data Enablement in the Digital Economy
Stewart BondZoom Room
Sub-Title: Turning data governance upside down to gain buy-in, improve data utilization, quality and business outcomes.
Stewart Bond | Senior Analyst | IDC
Struggling to get buy-in for data governance? Data governance is control, but control can prohibit data utilization and diminish data immediacy. However, in today's digital economy where data is the lifeblood of business models, managed across hybrid data environments within the constraints of complex regional regulations, data governance is no longer optional. As an organizational discipline, data governance requires buy-in from every person that works with data, and the list of roles that use data continues to grow. Getting buy-in requires changing people's mindset: rather than data governance being about controlling data access and utilization, it should be about getting the right data to the right resource at the best time, in a trustworthy manner, and for the right reasons: this is Data Enablement. This session will leverage IDC quantitative and qualitative research to present the benefits of data enablement, highlight relationships between messaging and organizational buy-in, data quality and data governance, and how data intelligence has been used in the implementation and measurement of data enablement success.
Session 12C: 7 Steps for Boosting R&D Outcomes: Effective Strategies for Mastering Clinical Trials Data
Large pharmaceutical companies across the globe face rising costs and increasing complexity in regulatory requirements involved in bringing products to market. Data and analytics teams are embarking on robust clinical trials data repositories to boost R&D strategies to accelerate drug discovery, development, and streamline trial operations.
During this session, Mark Ramsey will share his insights on:
- Aligning clinical trials data projects to key business outcomes
- Driving strategies for making data an asset and priority across the organization
- Leveraging machine learning to tackling large data volume and variety in clinical trials
Session 12D: Modernize Employee Engagement: How to recruit and retain the workforce of the future?
Kevin JonesZoom Room
Kevin Jones | Chief Information Officer | Indiana Department of Child Services
The motivation for this research was to address the impact of staff turnover, at a rate of over 50%, in our most critical roles in operations. Purpose: The purpose of this research was to perform a root cause analysis that would lead to strategies and tactic, when applied, would lead to a reduction in staff turnover. Problem: The data collected from the root cause analysis, presented a number of outcomes, of which one was prominent. The problem was that the primary reason for over 53% of our voluntary turnover was that their pre-employment expectation of the role was different from what they actually experienced in the role, post-employment. Method: The strategy to reduce staff turnover began with the tactic of collecting empirical data from our voluntary staff turnover community. The analysis of that empirical data inspired a tactic that targeted 53% of our voluntary staff turner over. The method was to leverage the use of VR to simulate the actual experience of the role, prior to and/or early in a candidates’ employment. Results: Leveraging the empirical data and the use of VR technology helped reduce staff turnover by 18% in one year. Conclusion: Properly leveraging data, and emerging technology, such as VR, can provide your organization with an edge in building business intelligence in making evidence based decisions in areas of critical impact, such as staff turnover, that have both an opportunity cost and an actual cost to the bottom line.
4:30 pm - 4:35 pm Day 2 Break 5
4:35 pm - 5:35 pm Session 13
Session 13A: Data Strategy and Artificial Intelligence in Banking
Dr. Shivaji DasguptaZoom Room
Dr. Shivaji Dasgupta | Chief Data Officer & Head of AI and Analytics | Deutsche Bank
AI and Data are changing the banking landscape. This has been established over the last couple of years.
Deutsche Bank has started on the data-driven journey with a self-defined data strategy that encompasses the regulatory requirements, but also includes elements for implementation of AI with external streaming data. This has been incorporated in multiple use-cases such as consumer financing. Also, cooperation with start-ups on few AI use-cases are ongoing, such as transaction-based prediction. Additionally, 3rd parties can also access the customer data (only with customer opt-in) via an API that provides transaction data with a longer history than regulatory PSD2 API.
All these activities with a coherent strategy and very targeted architecture is helping to ensure that the bank is moving towards a leading-edge data-driven financial platform, providing customers not just advisory on finances. In addition, new data-oriented capabilities are being trained and built up for delivering the planned activities.
One aspect for the data-driven approach that the bank focuses on strongly is the putting the customer as the owner of the data. All the data activities with customer data are conducted with customer approval. Also the ethical aspects for the data usage are given extreme attention, especially to avoid bias in algorithms.
Session 13B: CDO Challenges - from a Global Perspective
Robert Lutton, Della Shea, Ido Biger, and Patrick MintonZoom Room
Session 13C: Vitamin D for Data Governance - How data governance can help sustain data health
Lindy KreslZoom Room
Lindy Kresl | President | Tecnologia, Inc
This presentation gives practical experience in the implementation of a business data dictionary aka metadata repository to realize true Data Governance that is fit for any business. A main component of this presentation will be discussing the link between data governance policies and data requirements. Basically a data requirement specifies the data that needs to be collected to verify that a policy is being followed.
This session will outline how all business rules, regulations and policies are instantiated through data requirements that specify what data will be used to measure compliance. A key component will demonstrate how to build a business data dictionary that integrates metadata from disparate systems into a central dictionary and offers search, lineage, impact analysis, and reporting capabilities for enhanced understanding of your organization's data environment. The business data dictionary provides rapid identification and location of data, while the impact analysis enables how a dictionary supports data requirements that drive data governance.
Session 13D: Best Practices in Valuing Data and Democratizing Use to Improve Business Outcomes
New York LifeZoom Room
Blake Andrews | Corporate Vice President Data Governance | New York Life Insurance Company
COVID 19 has highlighted the value of data to respond to changing business conditions and adapt priorities and activities to improve business outcomes. In this session, hear lessons learned from New York Life in using data to create agility and resiliency in the business. The discussion will include their vision for valuing data assets and how they are building data literacy to empower people across the organization to consistently use data to improve decision making. Learn best practices in cataloging data assets, enabling access, and ensuring compliant provisioning using a data marketplace.
Thursday 20 Aug 2020
9:00 am - 10:00 am Session 14 - Keynote
Keynote Session: The Gartner Research Board CDO 4.0 Operating Model – How the Role of the Chief Data Officer is Evolving
Mario FariaZoom Room
Mario Faria | VP Program Director, Chief Data Officer | Gartner Research Board
Gahl Berkooz | Chief Data Officer | ZF Group
Rob Low | Divisional Senior Vice President of Data & Analytics Solutions | Health Care Service Solutions
Gartner Research Board (GRB) has noticed that Data & Analytics executives start to embrace the product management discipline at scale. This presentation will cover the 2020 state of the CDO market and the trends we been observing for successful D&A leaders in the market, in what Gartner Research Board defines as CDO 4.0. Also, in this session, we will have some CDO 4.0 leaders to share their experiences on how they transitioned to the new model.
10:00 am - 10:15 am Day 3 Break 1
10:15 am - 11:15 am Session 15
Session 15A: Advancements in AI/ML based asset health monitoring using external data sources
Dinakar DeshmukhZoom Room
Dinakar Deshmukh | VP - Data Science & Analytics | GE Aviation
This talk will focus on application of AI and machine learning technologies in health monitoring of jet engines. Specifically, how AI technologies are pushing the envelope and changing the ways we traditionally thought about PHM using external weather data. This talk will highlight how Physics based understanding and data driven techniques must come together to drive differentiated outcomes for airline customers. The talk will also present examples on how to combine both structured and unstructured data for predictive maintenance. The presentation will conclude with a section on GE aviation’s lessons learnt in this area for the past 7 years.
Session 15B: Data Monetization: Data Productization to Artificial Intelligence
Chintan ShahZoom Room
Chintan Shah | Vice President of Data Science & Analytics | Hyla
Hyla is a data and analytics leader providing insights into mobile device secondary market through its Device IQ platform. Device IQ platform is extensively used by Hyla’s customers that includes Tier 1 carriers, mobile device OEMs and big retailers to manage reverse logistics of the mobile device flow. Hyla’s data is constantly featured on all major news and media outlets like Wall street Journal, Forbes, etc.
Hyla ventured on its journey to monetize its data assets in 2015 and have since built products that utilize its data along with newer technologies like Machine learning and Artificial Intelligence. Hyla’s risk management solutions along with predictive models and routing solutions guide our customers to the best path for each device in its reverse logistics journey.
Session 15C: Fueling digital transformation with Data Discovery with Cara Dailey, CDO at Silicon Valley Bank
Data is at the heart of data management, governance, and enablement initiatives - but ultimately their success is dependent on the data itself. To ensure complete data management coverage and quality, Chief Data Officers must employ next-generation data discovery technologies to build out a data foundation for the enterprise - and improve the quality for all data domains.
Learn how BigID's ML-based data discovery transforms data quality, analytics, and privacy initiatives - adding context, enhancing integrity, and enabling CDOs to achieve faster time-to-value. Join us to hear more about how a data discovery-first data governance program at Silicon Valley Bank can scale their data management programs and improve their customer data quality.
Session 15D: Data Discovery, Valuation and Democratization
Kash Mehdi | Data Governance Domain Expert | North America
It is widely accepted that data is a valuable organizational resource. Yet that value is rarely quantified, and the realization of the potential value is dependent upon broad and consistent use. In this session see innovative capabilities for identifying data assets, analyzing their potential value, and driving greater sharing and use of data assets. Learn how discovery, valuation and democratization of data can increase realization of business value.
11:15 am - 11:30 am Day 3 Break 2
11:30 am - 12:30 pm Session 16
Session 16A: What Does it Mean to be a Data-Driven Company
Robert AbateZoom Room
Robert Abate | Founder & CEO | Brand Jam LLC
Ameet Shetty | Chief Data Officer | McDonalds
Asif Mahammad Syed | Vice President, Data Strategy | Hartford Steam Boiler
Milind Kamkolkar | Chief Data Officer | Cellarity
Martha Dember | Data Governance Thought Leader | Retired
Andrea Gibbons | Deputy Chief Data Officer | Export-Import Bank of the United States
Traditionally, businesses utilized their resources, occupational instincts and Business Intelligence (past history) in order to understand performance. As data becomes more prolific, organizations are challenged with managing, governing and ethically utilizing the data along with advanced analytics and AI / Machine Learning to lead their organizations and drive business decisions. This panel will examine the challenges and opportunities for a Chief Data Officer to steer their business colleagues to becoming a data driven organization.
Session 16B: Title TBD
Session 16C: Data Quality HUB: Essential CDO platform for Digital Transformation and Automation
The CDO journey starting with the data discovery, management, governance & analytics of master data within existing silos of corporate structured and unstructured data would be discussed. Discovery of source data with agile processes allows for augmented ML and AI to measure Data Quality, enabling configurable ETL and progressive data governance. This also enables dynamic and experimental modelling of data transformation to target applications. This is the primary function of the DQHUB while orchestrating seamless integration of micro-services between multiple data sources, ontology content libraries and cloud service providers for ISO 8000 data quality rendered to target applications and systems. Two practical business cases will be illustrated within the domains of Business Partner Integration and Governance as well as Supply Chain Digital Transformation and Automation.
Session 16D: Ten Key Analytics Best Practices for Business Results
Dr. Prashanth SouthekalZoom Room
Dr. Prashanth Southekal | Managing Principal | DBP-Institute
Today many businesses are challenged in transforming their data into insights. In January of 2019, Gartner reported that over 80% of analytics solutions did not deliver business results. To avoid analytics failures, organizations are looking for best analytics practices that offer prescriptive, superior, and reusable guidance so that analytics solutions can be deployed successfully. My talk will provide 10 key enterprise data analytics best practices across the four domains of the enterprise analytics: Data Management, Data Engineering, Data Science, and Data Monetization. These ten best practices offer practical guidance in a technologically agnostic manner on what YOU can do to successfully deliver analytics initiatives in your company.
12:30 pm - 2:00 pm Day 3 Break 3
2:00 pm - 3:00 pm Session 17
Session 17A: Exposing Engineering Data as a Strategic Asset
Donna CottonZoom Room
Donna Cotton | Chief Data Officer | US Air Force SEEK EAGLE Office (AFSEO)
The Air Force SEEK EAGLE Office (AFSEO) has developed a new data lake architecture and applications that combine historical data, machine learning, and modern big data technology to accelerate complicated engineering analyses. Before a new store (weapon, fuel tank, etc.) is mounted on an aircraft, AFSEO is responsible for setting safe limits for flight for that store and determining the unsafe ways in which different stores can interact. Doing so requires complicated engineering analyses and tests (flight, wind tunnel, etc.) led by PhD level engineers. As AFSEO surpasses 50+ years of accumulated data, the promise of finding, using, and synthesizing previously approved analyses rather than building a new analysis from scratch is too large to ignore. The data lake addresses this problem in two ways. First, a custom data catalog has been built that tags all files with relevant metadata and then makes them searchable and filterable through a web-based UI. This is enabled by a Dell EMC multiprotocol Isilon storage solution that simultaneously serves files to all operating systems based on users’ roles through SMB/NFS protocols and to the Cloudera based data lake as HDFS. The custom data catalog UI is hosted and served directly by Solr, offering a number of advantages. Second, a custom application built on Tamr machine learning searches historical documents for relevant antecedents, and in some cases, can create a "by analogy" certification without human intervention. Both efforts help engineers certify new stores and capabilities with the agility required to support the modern-day US Air Force.
Session 17B: The Public Sector CDO Journey, changing the tires at 90 MPH!
Ed KellyZoom Room
Ed Kelly | Chief Data Officer | State of Texas
Adita Karkera | Deputy Chief Data Officer | State of Arkansas
Poonam Soans | Chief Data Officer & Director of Application Development | State of New Jersey
Kathryn Helms | Chief Data Officer | State of Oregon
This executive panel session will provide an opportunity to hear from the offices of several state CDOs including Arkansas, New Jersey, Oregon, and Texas. The discussion will include how each state developed, or is developing, their program. Given the pressure to keep up with the pace of change, the panel will also share the challenges they faced and those they have overcome, best practices, and what they feel is the future for their individual state data management programs.
Session 17C: Artificial Intelligence (AI): On Delivering Real-World Business Value
Dr. Aleksandar VelkoskiZoom Room
Dr. Aleksandar Velkoski | Dir Dara Science, Realtors
AI plays an important role in modern organization strategy. However, AI adoption, along with the business value that it is intended to create, continues to lag expectations. In this talk, Dr. Velkoski will share two case studies that demonstrate how the National Association of REALTORS® (NAR) narrowed barriers to AI adoption and delivered real-world business value through AI. More specifically, Aleksandar will highlight how NAR initiated cross-functional collaboration, transformed business opportunities into AI solutions and implemented AI solutions within the business to positively influence decision-making and, ultimately, enhance outcomes for the organization and its members.
Session 17D: Digital Transformation of Regulation through Open Standards
Lars ToomreZoom Room
Lars Toomre | CEO, BRC FinTech Corporation | Managing Partner, Brass Rat Capital LLC
Richard Soley | Chairman & CEO | Object Management Group, Inc.
Richard Robinson | Industry Relations and Open Symbology Strategy Executive | Bloomberg LP
3:00 pm - 3:30 pm Day 3 Break 4
3:30 pm - 4:30 pm Session 18
Session 18A: Title TBD
Sol RashidiZoom Room
Sol Rashidi | Chief Data Officer | Sony Music
Session 18B: Accelerating Your Data Capabilities For Organizational Growth
Myler SuerZoom Room
Myles Suer | Head, Global Enterprise Marketing | Boomi
As Tom Davenport has indicated, everything starts by creating your data defense and data offense. And the end of objective of data defense should be to make data scientists more productive. Today, this means making data useful sooner in the process. For many cases, this flips their approach from a data builder to a modeler driven mindset and process. A key element involves fixing the data platform and its pipelines. According to the Marco Iansiti’s book “Competing in the Age of AI” this starts by creating a data platform that subscribe and publish from internal and external sources. This platform needs to be able to discover known and unknown data whether structure or unstructured and process data through a data pipeline that gathers, cleans, normalizes, integrates, and safeguards data. This means establishing a data platform that can enable CDOs to govern and mature data and finally, drive an analytically driven organization.
Session 18C: Ethics, Decisions and Trust in AI Systems of the Future: What if Humans Can't Agree?
James Short & Steve OrrinZoom Room
Artificial intelligence (AI) is already a part of our everyday life, and the more we rely on AI, the more we will need to trust the calculations and the "right" decisions that autonomous systems, robots and AI systems can make. In many cases, the right answer is singular and unambiguous, such as 2+2=4. But in matters of ethics and judgment, that may not always be case. What is AI to do if humans cannot agree on the "right" answer?
In this session, we will ask the views of two experts in the area, Professor Stuart Madnick of MIT, and Mr. Steve Orrin, CTO of Intel Federal. Our questions will address the current AI application landscape, and what technology, governance and regulatory actions will help to build interpretability, accountability and social trust into AI solutions. We will conclude with what roles general managers and CDOs can play in looking outward at what their organizations can do in building trustworthy AI.
Session 18D: Title TBD
Global IDsZoom Room
4:30 pm - 4:35 pm Day 3 Break 5
4:35 pm - 5:35 pm Session 19
Town Hall Meeting & Concluding Remarks
Robert LuttonZoom Room