The W Chicago - City Center, Chicago, IL
August 30, 2020 - September 1, 2020
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Harnessing Your Data & Analytics to Drive Innovation, Optimization & Competitive Edge
The CDAO Executive Summit is a gathering of C-Suite Executives and Senior Decision Makers from Fortune 1000 and leading enterprise organizations. Our intimate, invitation-only event creates new business relationships and opportunities to benchmark with true peers while focusing on key business challenges.
Our summit provides a specialized, strategically-built experience featuring unparalleled speaking sessions, on and off-site networking opportunities, and customized face-to-face business meetings.
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.
As part of the Summit, we will attend a Chicago Cubs Major League Baseball game in a rooftop suite designated exclusively for our event participants. The group will enjoy food and refreshments while continuing the peer-to-peer networking experience in the Friendly Confines of Wrigley Field! Join us as we enjoy the Cubs game versus the rival Pittsburgh Pirates, and take in the sights and sounds of the game and marvel at the ivy-covered outfield walls of this landmark baseball stadium that has been home to the Chicago Cubs since 1916.
Speakers |
Dr. Vijay Gandapodi, Global IT Head – Marketing Analytics & Data Science, Coca-Cola Dr. Satyam Priyadarshy, Technology Fellow & Chief Data Scientist, Halliburton USA Kamayini Kaul, Exec. Director of Enterprise Information Strategy and Risk Management, Bristol-Myers Squibb Abhijit Punje, VP - Head of Enterprise Data Architecture, T. Rowe Price Jose Murillo, Chief Analytics Officer, Banorte Sanjay Saxena, SVP, Enterprise Data Governance and Strategy, Northern Trust Maria Macuare, VP Data and Analytics, Campbell Soup Company Ash Dhupar, Chief Analytics Officer, Publishers Clearing House Charles Li, Chief Data Officer for Trading, Supply & Midstream, Shell David Mathison, CEO Founder, CDO Club Srini Sankar, Enterprise Data Leader, Hanover Insurance Vsu Subramanian, Sr. Vice President, Enterprise Data Services, Optum Nick McLawhorn, Director, Digital Analytics, Deluxe Corp Kathleen Maley, Sr. Director of Consumer & Digital Analytics, KeyBank William Wilkins, Chief Risk and Predictive Analytics Officer, Safety National Casualty Corporation Joey Jablonski, VP/Data Engineering & Analytics, iHeartMedia Madhav Madaboosi, Principle Data Scientist, Head of Data/Analytics, Alternative Energy, Shipping & Group Functions, BP N.A. Corp |
11:00am |
Welcome Brunch | Event Registration |
11:40am |
Opal Welcome | Ice-Breaker |
11:55am |
Chairperson’s Opening Remarks |
12:00pm |
Opening Keynote Presentation
Harnessing Disruptive Technologies to Generate Deeper Profits
To generate deeper profits, AI driven organizations are harnessing the greatest disruptive technologies of all time, including Artificial Intelligence, 3 D Printing and Block chain. As a result, every aspect of the customer journey is going to be AI-fueled with heightened customer expectations on value, quality, and engagement.
In this engaging session, Ash will share the AI landscape of various industries from Retail to Manufacturing who are adopting AI to generate growth and Innovation. We will also review ways to create an AI-based customer experience, which will allow an organization to connect and aggregate data about customers and their preferences, such as:
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12:35pm |
Interactive Panel Discussion
Eliminating Data Silos to Create a Unified Data Ecosystem
Digital transformation is increasing the machine data available for operational analytics, which empowers organizations to improve every line of business. Getting control of data to make business decisions is crucial to competing, but many departments within an organization have different goals and priorities and lack the incentive to synergize. This is a major problem for companies with data science models that have not evolved, or where the strategic value of data is driven by inter-department competition rather than the C-suite. With the inherent “information overload, it’s critical to eliminate the data silos, create a unified data ecosystem, or find ways to embrace the data as is.
Join us in this highly informative panel discussion as we strategies for successful silo-busting, such as:
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1:25pm |
Interactive Workshops Many organizations struggle to achieve consistent benefit from their analytic efforts. In addition, an organization’s strength in analytic model development alone is insufficient to becoming a truly insight-driven enterprise.
Join this engaging discussion as we review ways to overcome common challenges to being predictively driven, including:
When it comes to artificial intelligence (AI), there is no such thing as data overload. In fact, it’s quite the opposite – the more data, the better. Because AI systems have the ability to process enormous amounts of data, and their accuracy increases along with data volume, the demand for data continues to grow.As the lifeblood of AI, data is critical to helping you get the business insights you need to move your business forward.
In this session we will discuss ways to lay out the groundwork for successful integration of AI, such as:
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2:15pm |
One-on-One Business Meetings | Networking Break |
3:20pm |
Keynote Presentation
Aligning Your Data Strategy with the Business Strategy
Many organizations are simply missing the mark on new data and analytics initiatives. In order to stay competitive, it’s imperative for them to properly leverage the data to create valuable insights that support better business decisions and positive business impact.In this enlightening session, we will discuss the process of gaining a clear understanding of the value-chain methodology, and outlining a data strategy that supports business goals.
In this enlightening session we will talk about:
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3:55pm |
Keynote Presentation
Leveraging Data to Give Your Company a Competitive Edge
Data has become a critical business asset, and a major challenge that most organizations face is how to leverage their ocean of data to give the company a competitive edge. The explosion of information is clearly accelerating; data is flooding companies and the problem is only getting worse. When our machines talk to each other, the rate of information growth will increase exponentially. As a result, it’s imperative that your organization maximizes the data effectively to make it a profitable asset.
Join this enlightening session as we discuss the steps needed to monetize your company’s data assets, such as:
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4:30pm |
Keynote Presentation
Blending the Right Amount of Strategy, Governance, and Tactical Excellence to Derive Value from Your Organization’s Data Stream
From the inception and construction of your data organization to the distribution of the data you collect, your data’s journey is an important slice of the puzzle. Many organizations measure the wrong data, report it to the wrong stakeholders or fail to align their insights to the business needs of their teams. It’s critical for D&A teams to ensure that their data stream is measured from start to finish to effectively manage the organizational data.
In this informative session we will discuss the proper steps needed to extract value from your data stream, such as:
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5:05pm |
One-on-One Business Meetings | Networking Break |
6:10pm |
Interactive Panel Discussion
Developing an Effective Collaboration Between Business Stakeholders to Champion Data Literacy Throughout the Organization
The pervasiveness of data and analytics capabilities, including AI, requires the creators and customers to speak data as a common language. As data and analytics becomes a core part of digital business and data becomes an organizational asset, employees must have at least a basic ability to communicate and understand conversations about data. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs. It’s critical for data and analytics executives to essentially create the narrative for data literacy, while also highlighting the business value to be gained.
In this session we will discuss the steps necessary to create an effective data literacy program, like:
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7:00pm |
Networking Cocktail Reception & Hors d’oeuvres |
7:30am |
Networking Breakfast |
8:15am |
Chairperson’s Opening Remarks |
8:25am |
Opening Keynote Presentation
Utilizing Bots, AI and Natural Language Processing to Get Data to Users in Real-Time
Even in an age of Artificial Intelligence, Cloud and Machine Learning, getting the necessary data to the user still takes way too long.The conversation around real-time data, fast data and streaming data is getting louder and more energetic. As the age of big data fades away, there is much more focus on fast data and obtaining timely insights. End users are writing their own reports with cumbersome BI tools, and it’s critical to implement solutions that can get the data to them in near real-time. Fortunately, there are some great tools that are being improved upon and streamlined to get this data to the users faster.
Join this engaging session as we discuss some of the tools, such as:
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9:00am |
Interactive Panel Discussion
Women in Data & Analytics: Strategies for Attracting, Developing and Retaining Data and Analytics Talent
Few areas of the IT job market have seen the growth and disparity in supply and demand that the data and analytics field has experienced. The disparity is glaring when looking at the ratio of women in data and analytics roles as compared to their male counterparts; and compounded even more when looking at women in leadership roles.
In this open-ended panel discussion, we will talk about organizational efforts, strategies and success stories for improving talent acquisition and leadership development for women in Data & Analytics.
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9:50am |
One-on-One Business Meetings | Networking Break |
10:55am |
Interactive Workshops Leading organizations in every industry are wielding data and analytics as competitive weapons, operational accelerants and innovation catalysts. Still, many companies continue to struggle under the weight of traditional business models and analog business process that discount the potential of data and analytics.
Join us in this engaging workshop as we discuss how to make data and analytics become the centerpiece of enterprise strategy, focus and investment, by:
The expansion of data science as a key element in modern business has led to several different challenges; technical, organizational, and ethical. Data science teams are usually structured more loosely than traditional IT or analytics teams, and use a wider range of platforms, tools, and techniques than IT teams are used to managing. In addition, there is increasing concern about: data security and privacy;and the ethics of machine learning.
In this workshop we will review the factors to consider when developing a strategic plan to address governance and ethics concerns in your data science initiatives; such as:
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11:45am |
Keynote Presentation
Building Data Science – Examining the Ways to Transition Your Organization and Create a Data-Driven Culture
While understaffing and disorganized data are common problems for many organizations, they are generally solved by utilizing the proper resources and “elbow grease”. While each data organization faces different circumstances, in most instances the ideal path towards data maturity and data-centricity are relatively homogeneous for data executives that prioritize relationships and communication.
In this engaging session we will talk about some of the steps that are needed to develop a long-term plan for creating a data-driven culture, including:
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12:15pm |
Networking Luncheon |
1:00pm |
Keynote Presentation
Creating an Analytically Driven Organization: Implementing an Advanced Analytics Program
Many organizations have been charging ahead with bold investments in analytics resources and artificial intelligence by implementing analytics programs and hiring analytics talent, but many of them fail to convert their analytics pilots into scalable solutions. Unfortunately, top management often fails to really grasp the concept of advanced analytics by struggling to define valuable problems for the analytics team to solve, and they lack the full investment in building the right skills.
In this session we will review some important considerations to ensure your organization is making intelligent, data-driven business decisions while developing an analytics program, such as:
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1:35pm |
Keynote Presentation
Utilizing Analytics to Improve Customer Engagement and Gain a Competitive Advantage
Effective data and analytics implementation allows organizations to use intelligence from feedback to tailor offerings that improve customer satisfaction. There are several factors to consider, including the use of a wide range of data sources, well-developed core analytics capabilities, and integration of artificial intelligence (AI) and the internet of things (IoT) into processes.Because of the more pervasive use of analytics,organizations must continue to improve their use of data and analytics to stay ahead.
Join this engaging session as we discuss ways to use data to increase customer engagement, such as:
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2:10pm |
Interactive Panel Discussion
Ensuring the Ethical Collection and Use of Data & Analytics
In the wake of last year’s application of GDPR and the multitude of data breaches that have occurred recently, it’s never been a better time for organizations to take a close look and ask hard questions around how they collect, manage, and act on audience data. As the use of data & analytics grows, the potential for ethical dilemmas and reputation risks also increase, so data and analytics leaders have to develop solutions to mitigate these risks.
In this engaging panel discussion we will discuss some tips for organizations to protect their customers and their reputations, such as:
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2:55pm |
One-on-One Business Meetings | Networking Break |
4:00pm |
Keynote Presentation
Personalizing the Customer Experience to Yield a Higher ROI
While the value of personalization is clear, the task can seem rather lofty. Despite the many challenges in creating dozens or even hundreds of different experiences for your customers, it’s imperative to make sure that your message speaks to each of them on an individual level. The organization must deliver real-time contextually relevant experiences that are informed by customer data.
Join us in this highly interactive session as we talk about the ways your organization can connect and aggregate data about your customers and their preferences, such as:
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4:35pm |
One-on-One Business Meetings |
5:40pm |
Interactive Panel Discussion
Building an Enterprise-Wide Data Governance Strategy: Critical Success Factors
One of the core elements of data analytics that organizations struggle with today is data governance. An organization could do everything right and still wonder why their analytics projects are failing if they haven’t taken the time to build and implement a governance strategy. More and more organizations realize that data governance is a necessity; however, they lack experience in implementing enterprise-wide governance programs with actual, tangible results.
In this session we will discuss strategies to ensure that an organization’s data governance processes are successful, such as:
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6:30pm |
As part of the Summit, we will attend a Chicago Cubs Major League Baseball game in a rooftop suite designated exclusively for our event participants. The group will enjoy food and refreshments while continuing the peer-to-peer networking experience in the Friendly Confines of Wrigley Field! Join us as we enjoy the Cubs game versus the rival Pittsburgh Pirates, and take in the sights and sounds of the game and marvel at the ivy-covered outfield walls of this landmark baseball stadium that has been home to the Chicago Cubs since 1916.
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8:00am |
Networking Breakfast and Executive Roundtables |
A. Overcoming Barriers to Becoming Data Centric |
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B. Wielding Data and Analytics as Competitive Weapons |
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C. Tackling Workforce Structure to Ensure a Successful Digital Business Transformation |
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D. Implementing an Agile Approach to Data Unification |
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8:45am |
Chairperson’s Opening Remarks |
8:55am |
Opening Keynote Presentation
Identifying and Seizing the Opportunities to Drive Business Value Through Advanced Analytics Innovation
In today’s increasingly data-driven landscape, the companies who succeed are equipped to put their data to work most effectively. Data analytics dramatically impacts both internal critical operations as well as external product or service delivery and customer experience. This is made possible by creating faster, more in-depth insights that enable better decision making and provide a huge opportunity to drive digital transformation across the business.
Join this session as we discuss the key points to successfully develop a solid analytics strategy, such as:
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9:30am |
Keynote Presentation
Leveraging Data Integration for Strategic Advantage
Data is the fuel that drives enterprise innovation and digital transformation efforts. By leveraging the ability to generate, access, collect, analyze, and interpret data from multiple combined sources, digital enterprises can realize considerable competitive and operational benefits. However, one of the biggest issues facing enterprises is how to effectively integrate and manage data coming from multiple sources. As data continues to expand exponentially, this challenge becomes even more difficult, particularly for enterprises lacking the in-house resources to efficiently integrate and manage data. Therefore, it’s critical to provide full visibility into data movement between connected applications and improve the quality of the data being integrated.
In this informative session we will discuss ways to enable data exchange between various enterprise systems, such as:
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10:05am |
One-on-One Business Meetings | Networking Break |
11:10am |
Keynote Presentation
Deploying the Right Technology Architecture and Capabilities to Build an Effective Data-Driven Strategy
Big data and analytics have climbed to the top of the corporate agenda, and promise to transform the way companies do business. As data-driven strategies take hold, they will become an increasingly important point of competitive differentiation. For organizations to fully exploit data and analytics, they must be able to identify, combine, and manage multiple sources of data, and they must have the capability to build advanced-analytics models for predicting and optimizing outcomes. In addition, it’s critical for management to possess the muscle to transform the organization so that the data and models actually yield better decisions.
In this highly interactive discussion we’ll talk about ways to effectively exploit data and analytics, such as:
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11:45am |
Closing Panel Discussion
Creating a Shared Data and Analytics Vision that Becomes Ingrained in the Corporate Culture
Many organizations face continuing challenges when trying to fully adopt big data and analytics processes, but the benefits that are gained by new technology solutions are having a tremendous impact on the application of data and analytics. Companies are having little issue in comprehending the benefits of technology, but the biggest challenge is in the process of cultural change.
In this final panel discussion of the event, we will review the issues that need to be addressed in order to implement and maintain a cultural change, such as:
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12:30pm |
End of Summit | Champagne Toast | Thank you! |
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One of the biggest challenges that companies face is standing out from the crowd and getting exposure with executives from leading enterprise organizations. Your company has the perfect solution to your customer’s problem but how do you grab their attention and present your value proposition?
The CDAO Executive Summit is the perfect platform to gain valuable exposure for your brand with exclusive access to key decision makers. The attendees at the Summit are C-Suite Executives and Senior Decision Makers from the Fortune 1000 and are selectively invited and pre-qualified to ensure they carry budgetary responsibility. The event provides a specialized, strategically-built experience for cutting-edge solution providers to engage, interact, and build relationships with executives who are actively looking for new business partners.
Solution providers at the Summit have the opportunity to showcase their brand as a leader in the Data and Analytics field while developing new business relationships through unparalleled speaking sessions, interactive networking events, and custom face-to-face business meetings.
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.