Virtual 3D Event
August 12, 2020
Turning Your Data into Insights - Making Your Data Work for You
The Data & Analytics Virtual Summit Series will feature three 1-Day Virtual 3D Events taking place: June 17, July 21 and August 12
The Data & Analytics Virtual Summit series is a gathering of Data & Analytics executives representing enterprise organizations, global brands, government agencies and more. Executives will connect, benchmark, network and focus on key initiatives. During these uncertain times, it’s important to create and maintain relationships with like-minded D&A professionals, and our new Virtual Summit Series fosters these relationships - all from the safety and comfort of our homes or offices.
Our Summit provides a specialized, strategically-built experience that features unparalleled keynote speaking sessions with thought-leading case studies, highly-interactive panel discussions, and a virtual 3D experience that includes customized networking opportunities and real-time attendee insights.
We believe in creating a memorable, collaborative and effective experience focused on continuous improvement for Chief Data & Analytics Officers, Chief Data Officers, Chief Analytics Officers, and other top executives in data, analytics, artificial intelligence, business intelligence, IT and data governance.
Join us! Interested in attending, speaking or sponsoring? Contact Bobby Swartout at (212) 532-9898 ext. 248 or email info@opalgroup.net.
Speakers on June 17 Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton USA David Mathison, Chairman, CEO & Founder, CDO Club Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University Srinivasan Sankar, Enterprise Data Leader, The Hanover Insurance Group Sean Butler, Director of Product Marketing, Privitar Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank Andrew Sohn, Head of Data, Bottomline Technologies Garland Bond, Former Chief Data & Analytics Officer, AARP |
Turning Your Data into Insights – Making Your Data Work for You |
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June Session Complete – Please join us in July and August! |
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11:30am EST |
Virtual Welcome – Create Avatar and Review Summit Navigation Tools |
11:55am |
Chairperson’s Opening Remarks:
Turning Your Data into Insights – Making Your Data Work for You
Chairperson
David Mathison, Chairman, CEO & Founder, CDO Club |
12:00pm |
Opening Keynote Presentation
Data Driven Innovation Generates Significant Economic Impact When the Focus is on “Time to Value from the Data”
Many industries use 1% to 5% of the data they generate, as per studies published recently. What is the significance of the amount of data used? Is it because business does not need it, or the vision for data-driven innovation isn’t really clear? Are there other factors?
Join this informative session to hear Dr. Priyadarshy explain how “time to value from the data” is more important than just the “amount of data used” for transforming a resilient business – which in turn will maximize the use of data assets and generate significant economic impact. He will also cover value creation from unstructured data, and the roadmap for reducing the time to generate value from such a data set – thus reducing dark data to smart data.
Presented by
Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton USA |
12:30pm |
Keynote Presentation
Maximizing Analytics Initiatives with Sensitive Data
Leading organizations are looking to optimize how they leverage one of their most valuable assets, their data. A key component of maximizing the value of any organization’s data is ensuring that they can provide access and allow requests for the use of sensitive and personal data. As enterprises leverage data to power initiatives like analytics, improving customer experience, new product development, and the move to the cloud it is critical they contemplate how to protect sensitive data.
Join this engaging session as we discuss how to implement a sensitive data management strategy to:
Sean Butler, Director of Product Marketing, Privitar |
1:05pm |
Solution Provider Research Meetings | Networking Break |
2:00pm |
Keynote Presentation
Utilizing Data and Analytics to Improve Decision-Making and Forecasting
Every organization now realizes that they have the ability to use data and analytics to raise productivity, improve decision making, and gain competitive advantage.The reality however, is that actually mapping out an analytics plan is very complicated.As such, it’s critical to develop a plan that effectively brings together data, analytics, frontline tools, and people to create business value.
We’ll discuss steps that are necessary to develop a data and analytics plan that drives competitive advantage, such as:
Presented by
Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University |
2:40pm |
Solution Provider Research Meetings | Networking Break |
3:15pm |
Panel Discussion
Data Monetization – Preparing an Approach that is Consistent with Overall Business Strategy
In today’s world every company relies on data, but not every organization truly understands how to monetize their data. The amount of generated data will be growing exponentially in the future, so it’s critical to develop an effective data insights strategy that allows your organization to identify what data is truly essential. In addition, it’s important to embed data monetization into the overall business strategy, and build cross-functional teams in order to successfully execute on data monetization initiatives.
Join us in this thought-provoking panel discussion as we discuss the elements that are needed to implement a successful data monetization strategy, such as:
Moderator
Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance
Panelists
Garland Bond, Former Chief Data & Analytics Officer, AARP Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank Andrew Sohn, Head of Data, Bottomline Technologies |
Speakers on July 21 John Thompson, Global Head, Advanced Analytics & Artificial Intelligence, CSL Behring Maria Macuare, VP Data and Analytics, Campbell Soup Company Eugene Wen, Vice President for Group Advanced Analytics, Manulife Financial Madhav Madaboosi, Principle Data Scientist, Head of Data/Analytics, Alternative Energy, Shipping & Group Functions, BP N.A. Corp David Mathison, Chairman, CEO & Founder, CDO Club Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance Shawn Roberts, RVP Solution Strategy, erwin Dr. Adam Richards, Head of Data Science, Galvanize Taryn Heilman, Principal Data Scientist, Lead Enterprise Instructor, Galvanize Brian Keare, Chief Information Officer, Incorta Cindi Howson, Chief Data Strategy Officer, Thoughtspot Pat Bates, Principal Sales Engineer, Privitar |
Data and Analytics in the New Era – Managing Your Data Organization of the Future |
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10:30am EST |
Create Avatar and Review Summit Navigation Tools |
10:50am |
Virtual Welcome |
10:55am |
Chairperson’s Opening Remarks:
Data and Analytics in the New Era – Managing Your Data Organization of the Future
Chairperson
David Mathison, Chairman, CEO & Founder, CDO Club |
11:00am |
Opening Keynote Presentation
How to Hire and Manage a High-Performance Analytics Team
Despite the pandemic crisis that the world will be dealing for an extended period of time, most organizations still need to design, hire and manage their analytical teams. All organizations want their analytics teams and function to not only exist but to perform in a highly effective manner. Analytics teams are not like development teams or typical project teams. We will discuss what makes them different and how to hire and manage for high performance and operational impact.
In this session we’ll be discussing best practices relating to investing in, hiring and managing your analytics team, including the following topics:
Presented by
John Thompson, Global Head, Advanced Analytics & Artificial Intelligence, CSL Behring |
11:40am |
Keynote Presentation
Privacy by Design: A Key Enabler, Not an Afterthought
Data privacy and security are fundamental safeguards that enable enterprises to better leverage and optimize the value derived from their growing data assets. But too often the protection of data is viewed and implemented as an isolated technology step in the data pipeline. This session will explore how the enterprises that most successfully turn data sets into profit-driving assets view data privacy as intrinsic to the data lifecycle and take a policy-driven approach that encompasses the entire data management organization.
Presented by
Pat Bates, Principal Sales Engineer, Privitar |
12:15pm |
Panel Discussion
Updating Acquisition and Retention Strategies to Effectively Compete for Data and Analytics Talent
The ‘war for talent’ in data and analytics has intensified recently, particularly when considering all of the uncertainty and competition for talent that has arisen as a result of the COVID-19 pandemic. Moreover, in recent years the quest for talent has evolved to encompass new frontiers and unfamiliar territories that are fueled by digital transformation, new capabilities and a shortage of talent – and employers need a new “battle plan” to prevail. There are very few areas of the job market that have experienced the growth and disproportionate supply and demand of talent that the data and analytics field has seen. As big data continues to get bigger and the analytics field continues to mature, it’s becoming a core part of business and the decision-making process. As such, it’s critical to update strategies to attract and retain top talent.
In this engaging session we will discuss steps that are needed for improving talent acquisition and development, such as:
Moderator
David Mathison, Chairman, CEO & Founder, CDO Club
Panelists
Madhav Madaboosi, Principle Data Scientist, Head of Data/Analytics, Alternative Energy, Shipping & Group Functions, BP N.A. Corp Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance Alex Pham, Head of Engineering, Data and Platforms, Toyota North America Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally |
1:00pm |
Networking Break | Solution Provider Research Meetings |
1:35pm |
Keynote Presentation
Maximizing the Value of Artificial Intelligence Technologies to Stay Ahead of the Competition
Implementing AI involves many departments, resources and people, and it’s critical to implement an effective plan to avoid the pitfalls of complete AI implementation and transformation. An effective AI strategy is directly tied to the mission and values of the enterprise, and it’s important to have practical strategies in place in order to embrace AI technologies amid ever-changing market expectations. Many organizations are facing significant challenges when trying to address what it takes to leverage the potential of AI effectively, responsibly and reliably in order to drive profit and connect with their customers.
In this engaging panel we will discuss how to help your organization maximize revenue, reduce costs and mitigate risks when fully leveraging AI, such as:
Presented by
Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University |
2:05pm |
Keynote Presentation
CDAOs in the Hot Seat: Winners and Losers in a Pandemic World
Business leaders in every industry are taking a step forward to implement tools that will help them pivot, save and streamline during this pandemic. Data and analytics have increasingly become a competitive weapon for leading organizations, and it is crucial that everyone in business step away from heavy architecture and inflexible ways of analyzing that data, especially during these times.
The pandemic has revealed the advantage of making quick, consequential decisions for our businesses using as much data as is possible. It also has revealed that some organizations will meet the moment of this challenge, while others will not.
Incorta’s CIO Brian Keare will provide perspective on how to win and will advise those of you who may be struggling how to transition quickly. Brian managed business systems and data analytics at Nortek and now works with many Fortune 1000 CDAO’s (Chief Data and Analytics Officer) that are analyzing data on the Incorta platform. Join this session to hear his unique view on how you can become a winner!
Presented by
Brian Keare, Chief Information Officer, Incorta |
2:40pm |
Leveraging Data to Give Your Company a Competitive Edge
Presented by
Shawn Roberts, RVP Solution Strategy, erwin |
3:25pm |
Networking Break | Solution Provider Research Meetings |
4:00pm |
Keynote Presentation
Developing a Candidate-Facing Recruitment Program to Improve Talent Acquisition for Data and Analytics Positions
It’s no secret that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, due to fierce competition and shifts in the data and analytics talent pools for female candidates, it’s become a huge challenge for companies to maintain and maximize their ability to attract, retain and identify top female performers and sustain a competitive advantage.L&D leaders are being forced to rethink and reinvent best practices to engage, develop and integrate female talent into their data and analytics organizations, but many are falling far short in these endeavors.
Join our panelists as we discuss strategies for attracting, developing and retaining female data and analytics candidates – and leaders, such as:
Presented by
Eugene Wen, Vice President for Group Advanced Analytics, Manulife Financial |
4:30pm |
Keynote Presentation
Advocating and Developing Data Literacy to Support a Data Driven Workforce
Organizations have to understand that data must be spoken as a common language with its customers when looking at the pervasiveness of data and analytics capabilities. As data and analytics becomes an integral part of the business and an organizational asset, the entire workforce must have at least a rudimentary ability to convey and comprehend conversations about data. As such, the importance of data literacy will become a critical element of most daily tasks. Data and analytics leadership will need to play a key role in creating the narrative for company-wide data literacy, and must also be able to highlight the value that will be gained by the entire organization.
In this informative session we will discuss the steps necessary to develop a successful data literacy program, such as:
Presented by
Dr. Adam Richards, Head of Data Science, Galvanize |
5:00pm |
Panel Discussion
Women in Data & Analytics – Improving Talent and Leadership in Your Data Organization
It’s no secret that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, due to fierce competition and shifts in the data and analytics talent pools for female candidates, it’s become a huge challenge for companies to maintain and maximize their ability to attract, retain and identify top female performers and sustain a competitive advantage. L&D leaders are being forced to rethink and reinvent best practices to engage, develop and integrate female talent into their data and analytics organizations, but many are falling far short in these endeavors.
Join our panelists as we discuss strategies for attracting, developing and retaining female data and analytics candidates – and leaders, such as:
Moderator
Cindi Howson, Chief Data Strategy Officer, Thoughtspot
Panelists
Maria Macuare, VP Data and Analytics, Campbell Soup Company Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank Amitha Krishnappa, Director- Operational & Product Analytics, Walmart eCommerce Taryn Heilman, Principal Data Scientist, Lead Enterprise Instructor, Galvanize |
6:00pm |
End of July 21 Session of Data & Analytics Virtual Summit Series |
Speakers on August 12 Sam Benedict, VP Solution Strategy, erwin Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation Eileen Vidrine, Chief Data Officer, United States Air Force Ylan Kazi, Vice President, Data Science + Machine Learning, UnitedHealth Group Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally Dustin White, Global Head of Risk Analytics & MIS, Visa Matthew Halliday, Co-founder & SVP of Product Strategy, Incorta Abhishek Mittal, VP, Head-Data Analytics, Opex and Legal Ops COE, Wolters Kluwer Krish Das, Head of Enterprise Data, Inspire Brands Ed Savage, Principal Sales Engineer, Privitar Victor Ghadban, Chief Field Data Scientist, Explorium |
Creating a Data-Driven Culture – Developing New Mindsets and Methodologies |
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11:00am EST |
Virtual Welcome – Create Avatar and Review Summit Navigation Tools |
11:20am |
Chairperson’s Opening Remarks:
Creating a Data-Driven Culture – Developing New Mindsets and Methodologies |
11:30am |
Opening Keynote Presentation
Creating a Data-Driven Culture
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 guides 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 Air Force’s culture 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). Combating these threats requires rapid advancements in our data. To ensure we have the big data 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. Air Force Data is a strategic asset managed by data professionals, program managers, and executives. Agencies must understand and educate employees on the value of data and the importance of data quality. 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 to support the Air Force’s mission and operations. The VAULT Data Platform, as it is 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 core efforts of the Air Force Chief Data Office:
Presented by
Eileen Vidrine, Chief Data Officer, United States Air Force |
12:05pm |
Keynote Presentation
How to Elevate Your Privacy Posture
Leading organizations are constantly looking for ways to get more value from their data. Today, when looking to leverage sensitive data they are met with both regulatory and corporate compliance concerns. These concerns result in disjointed processes, cautious data-owners, and ultimately in long wait times for any analysis that contains sensitive data. As organizations look to overcome these challenges to maximize the value of their data driven business it is critical they implement strategies across the elements of policy, technology, and process.
Join this engaging session as we discuss how you can elevate your privacy posture to:
Presented by
Ed Savage, Principal Sales Engineer, Privitar |
12:35pm |
Networking Break | Solution Provider Research Meetings |
1:05pm |
Interactive Roundtable Discussions
Presented by
Victor Ghadban, Chief Field Data Scientist, Explorium
Presented by
Sam Benedict, VP Solution Strategy, erwin |
1:55pm |
Keynote Presentation
Injecting Data into Decision-Making Processes to Develop a Data-Driven Mindset
Injecting data into decision-making processes would seem to be a relatively simple undertaking for most organizations today, but it’s much more difficult when trying to make this standard and automatic for employees. When constructing a company philosophy that’s data-driven, the focus must be on building tools, abilities, and, most crucially, a culture that acts on data. In addition, a data-driven organization must have a continuous improvement mindset, with an ongoing strategy to optimize core processes.
In this session we will review some steps that are necessary for organizations to develop a truly data-driven mindset, such as:
Presented by
Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb |
2:30pm |
Keynote Presentation
Data Science for Executives: Becoming a Data-Driven Organization
Modern Data Science includes a Data & Analytics Strategy that focuses on common frameworks, responsible governance, and emerging technology. Join David Yakobovitch, Data Science Team Lead at Galvanize, where he shares insights from Gartner, McKinsey and the Center for Security and Emerging Technology that can increase the impact of your team’s products and KPIs with a Data-Driven approach. As a Data Executive, you can lead with strategy, trends, and collaborative teamwork to scale data products across your organization.
Presented by
David Yakobovitch, Data Science Team Lead - Data Partnerships (Enterprise), Galvanize |
3:00pm |
Keynote Presentation
Developing Your Data-Driven Culture by Aligning it with Core Business Objectives and Strategies
If an organization doesn’t align its culture with business goals, how can they expect their people to help the company achieve them?Savvy data and analytics leaders and senior-level executives implement specific strategies that cultivate a distinct culture that is fully aligned with brand identity. They know that when they create an interdependent and mutually reinforcing relationship between how their organization thinks and acts on the inside and how it is perceived and experienced on the outside, they increase the competitiveness of their business, create measurable value for their employees and customers, and future-proof their business by developing an authentic brand and healthy organization.
Join us to discover how to cultivate a great data-driven culture that aligns with business objectives by:
Presented by
Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation |
3:30pm |
Networking Break | Solution Provider Research Meetings |
4:05pm |
Keynote Presentation
Analytical Expectations in a Rapidly Changing World
We now live in a world that believes “anything is possible” and technology often feels like magic by giving us everything we desire and need at the snap of our fingers, sometimes before you even know you desire it. This convenience and “magic” feeling is an effect of data.
Incorta’s co-founder Matthew Halliday will provide insight into how people are trusting and using data today and in the future. Ultimately, if your data projects don’t end up in a quantifiable behavior change, then you are creating digital pieces of artwork that fail to inspire people. Millennials are now the largest workforce in the United States and therefore, contribute greatly to the culture and attitude we expect to experience around data. Learn how you can ensure the analytical projects you are delivering are living up to expectations in this rapidly changing world.
Join this session to hear how to get the data and analytics when you need it, at the snap of a finger like we are used to!
Presented by
Matthew Halliday, Co-founder & SVP of Product Strategy, Incorta |
4:40pm |
Panel Discussion
Designing a Uniform Data and Analytics Framework that Becomes a Key Element of Corporate Culture
Ensuring that data and analytics are seen as key areas of focus in an organization requires an overarching data culture that couples a number of elements. These elements include high-quality data, broad access and data literacy, and appropriate data-driven decision-making processes. There are many organizations that are dealing with ongoing challenges while attempting to completely adopt big data and analytics processes. Despite the difficulties in adoption, it’s well worth the effort to implement a variety of new technology solutions, as these solutions most always have a tremendous positive impact on the application of data and analytics. It’s usually not an issue for organizations to comprehend the benefits of technology, but many do find that the biggest challenge to full adoption and utilization is the inability to develop the proper culture.
In this interactive panel discussion, we’ll cover the matters that need to be addressed in order to execute and sustain a cultural change, such as:
Moderator
Matthew Halliday, Co-founder & SVP of Product Strategy, Incorta
Panelists
Ylan Kazi, Vice President, Data Science + Machine Learning, UnitedHealth Group Abhishek Mittal, VP, Head-Data Analytics, Opex and Legal Ops COE, Wolters Kluwer Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally Krish Das, Head of Enterprise Data, Inspire Brands Dustin White, Global Head of Risk Analytics & MIS, Visa |
5:30pm |
End of August 12 Session of Data & Analytics Virtual Summit Series |
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1 user/pass | |
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Data & Analytics, Artificial Intelligence, Business Intelligence, IT, and Data Governance Practitioners | Complimentary* |
Solution Providers | $149.99* |
*Subject to Opal Group’s verification and approval. Only individuals who are practitioners within the following areas qualify for a complimentary pass: Data & Analytics, Artificial Intelligence, Business Intelligence, IT, and Data Governance Practitioners. Practitioners and executives representing solution provider organizations must register as a sponsor attendee.
The Data & Analytics Virtual Summit Series is currently seeking solution providers to present case studies and share cutting edge solutions in the Data & Analytics space. Learn more about sponsored thought leadership opportunities by contacting info@opalgroup.net
Prescheduled One-to-One Meetings:
Each participating solution provider and attendees will have pre-summit access to our matching software that allows you to completely customize your meeting agenda. The password-protected website provides the information needed to make your selections on who you want to meet with.
Exceptional Networking Opportunities:
We strive to maximize your face-to-face time by providing a multitude of avenues to engage the senior executives in attendance. The agenda incorporates an off-site networking activity, networking luncheons and cocktail reception. Leverage the meeting’s intimate atmosphere to build strong personal relationships with current and future clients.
The CDAO Executive Summit is an invitation-only, exclusive event for heads of data, analytics, business intelligence, IT, artificial intelligence, data science, machine learning, deep learning, information architects and information governance from Fortune 1000 and leading enterprise organizations.
Chief Data & Analytics Officers (CDAOs)
Chief Data Officers (CDOs)
Chief Analytics Officers (CAOs)
Chief Data Scientists
Chief Data Architect
SVP/VP/Head of Data Management
SVP/VP/Head of Analytics
SVP/VP/Head of AI, BI & Machine Learning
To request your invitation today, please contact Katherine Ilagan at 212-532-9898 ext 233 or email info@opalgroup.net.