Postponed: CDAO Executive Summit 2020

The W Chicago - City Center, Chicago, IL
August 30, 2020 - September 1, 2020

-- --

Postponed due to COVID-19

- - -

Welcome to Opal Group’s CDAO Executive Summit

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

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.

The Summit Experience - Hear from Starbucks, Expedia, Home Depot, and more!

Current as of


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


Welcome Brunch | Event Registration


Opal Welcome | Ice-Breaker


Chairperson’s Opening Remarks


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:


  • Messaging that encourages active participation and celebrates customer achievements
  • Utilizing information about past interactions and purchases, and retargeting your audience on different platforms
  • Creating compelling and relevant content and experiences that stay with the customer throughout their entire journey
  • Utilizing deep learning technology on industry trends, consumer behavior, and intent signals to ensure that content and messages reach the right customer at the right time in the right format

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:


  • Cultivating collaboration and a digital culture that allows the organization to rely on their employees to embrace and push digital change
  • Developing an agnostic architecture that enables access to data across all organizational data silos
  • Pooling data into a cloud-based data warehouse to homogenize and consolidate the data
  • Embracing the silos by utilizing Data Virtualization to retrieve and manipulate the data without requiring technical details

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:


  • Consistently applying analytics to different data sets in different systems
  • Sharing analytics across business units, geographies and silos
  • Reconciling analytic models with actual business outcomes
  • Implementing analytics into production systems faster and more efficiently


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:


  • Determining the most important areas in which AI can benefit the business
  • Ensuring that your IT infrastructure can handle the change
  • Investing in your employees’ knowledge of AI and its impact on data
  • Defining KPI’s and implementing a reporting mechanism that will help determine whether the platform can do what it promises to do

One-on-One Business Meetings | Networking Break


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:


  • The Best ways to align business and IT
  • How to properly develop a business model canvas
  • Ways to overcome difficulties in implementation
  • Steps needed to achieve a successful adoption of analytics across the entire organization

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:


  • Capturing the decision architecture of particular business problems, and building analytics capabilities in order to develop diagnostics that enable decisions and actions
  • Developing monetization strategies that align with your strategic objectives, and maintain them as corporate assets
  • Use data science and decision theory to turn information into actionable insights and properly structure the decision process
  • Determining the right analytics structure for the performance, integrity, and scalability of your monetization strategy
  • Developing monetization strategies that are automated, repeatable, and scalable throughout your organization in order to have analytics that can be utilized by many departments

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:


  • Developing the effective foundation and construction of your data stream
  • Making sure your analytics system and tag management are functioning properly, and ensuring data integrity across your measurement stacks
  • Building a data stream distribution model to make sure your stakeholders can get the analysis and insights they need at the right time and in the right format
  • Internally boosting and activating your team to ensure that your testing platform runs more efficiently to generate conclusive results

One-on-One Business Meetings | Networking Break


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:


  • Identifying the fluent and native “data speakers” in your organization who can serve as mediators for the business groups
  • Determining the areas where communication barriers mean that data isn’t being utilized to its full business potential
  • Educating executive leadership and front-line leaders that are involved in crafting and implementing data-driven solutions, products and services
  • Establishing proof-of-concept workshops to capture and review lessons learned, and sharing the lessons with other groups and departments to raise awareness of any literacy gaps

Networking Cocktail Reception & Hors d’oeuvres


Networking Breakfast


Chairperson’s Opening Remarks


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:


  • Data Spiders
  • ML Bots
  • Natural Language Processing
  • Data Literacy Programs

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.



One-on-One Business Meetings | Networking Break


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:


  • Collecting examples of the internal and external economic benefits from data and analytics that your organization has generated
  • Measuring and communicating the value of the organization’s information assets to help shift the culture into believing and behaving as if information is an actual asset
  • Building advanced analytics competencies beyond traditional business intelligence and embedding them throughout the business

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:


  • The key differences between governance, compliance, security, and privacy
  • Challenges faced by data science and support teams
  • Important regulations such as California’s Consumer Privacy Act and the EU’s GDPR
  • Means for addressing regulatory concerns in modern data environments
  • Methods of validating, documenting, and auditing data science processes

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:

  • Aligning your data collection with your business goals
  • Democratizing, in order to develop a deep understanding of your data pipelines and establish a trust in employees’ ability to use the data
  • Fostering an environment where data is driving the real decisions – which requires the implementation of machine learning
  • Pushing data collection and machine learning forward to continually drive the breadth and quality of the data, analysis, insights, and business value

Networking Luncheon


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:


  • Deciding on the key metrics that are truly meaningful for your business
  • Modeling the data correctly to properly plan the goals of your analytics
  • Designing practical dashboards to ensure that your visualization is relevant, logically ordered, and simplified so your users aren’t overwhelmed
  • Choosing the correct business intelligence tools with single-stack capabilities to prevent the need for other BI tools

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:


  • Developing multi-channel customer support strategies that allows companies to communicate with customers via their preferred channels
  • Aggregating customer interactions, transactions, feedback, and agent data to provide an end-to-end picture of the customer journey
  • Creating compelling and relevant content and experiences that stay with the customer throughout their entire journey
  • Utilizing deep learning technology on industry trends, consumer behavior, and intent signals to ensure that content and messages reach the right customer at the right time in the right format

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:


  • Not relying too heavily or exclusively on third-party data
  • Be clear right up front with what data you will be collecting and how your organization will use it
  • Ensure transparency with your customers to gain their trust to create greater brand loyalty and increased revenues
  • Know the origins of your data and the rules surrounding it
  • Put processes in place to understand the permissions associated with the data you hold, and mitigate the risk of misuse

One-on-One Business Meetings | Networking Break


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:


  • Messaging that encourages active participation and celebrates customer achievements
  • Utilizing information about past interactions and purchases, and retargeting your audience on different platforms
  • Creating compelling and compatible content and experiences that stay with your customer throughout their whole journey
  • Utilizing innovative technologies based on market trends, customer behavior, and buying signals to ensure that content and messages reach the customers in a timely fashion and correct format

One-on-One Business Meetings


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:


  • Establishing the master data standards that the organization will rely on to define their data going forward
  • Utilizing data catalogs with governance features to provide order and ease-of-access to large collections of data



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.


  • Buses will depart the hotel promptly at 6:30 so we can get to Wrigley Field in plenty of time to network prior to the scheduled first pitch at 7:05 PM



Networking Breakfast and Executive Roundtables

A. Overcoming Barriers to Becoming Data Centric

B. Wielding Data and Analytics as Competitive Weapons

C. Tackling Workforce Structure to Ensure a Successful Digital Business Transformation

D. Implementing an Agile Approach to Data Unification


Chairperson’s Opening Remarks


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:


  • Engaging with internal clients to improve delivery of analytic projects needs
  • Supporting business transformation by providing thought leadership in analytic techniques and new solutions
  • Identifying data points opportunities across the digital and physical customer journey
  • Monitoring external trends to inform strategic decisions

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:


  • Connecting all application endpoints, regardless of where they reside
  • Leveraging economies of scale and agility with a next-generation cloud platform
  • Identifying trends and detect errors with real-time, web-based visibility
  • Securing data, whether at rest or in transit, with secure file transfer protocols
  • Offloading the complexities of application integration operations, and freeing IT resources to focus on core competencies

One-on-One Business Meetings | Networking Break


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:


  • Identifying a clear initial strategy for how to use data and analytics to compete, which includes a clear vision of the desired business impact and effects of an organizational transformation
  • Sourcing data creatively by considering the potential of external and new sources of data
  • Working with CIOs and other IT executives to prioritize requirements and quickly identify the most important data for use in analytics
  • Mounting an operation to synchronize and merge overlapping data and work around missing information
  • Embedding analytics in simple tools to give frontline managers intuitive tools and interfaces that help them with their jobs

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:


  • Identifying the critical business questions that will drive business value and financial impact
  • Considering the critical human and organizational issues that will ensure successful adoption
  • Determining how to leverage big data and analytics in order to effectively drive innovation
  • Adapting and transforming culturally in response to the opportunities and the challenges presented by big data

End of Summit | Champagne Toast | Thank you! 

The W Chicago - City Center
172 W Adams, Chicago, IL 60603

Please contact your business development associate to reserve your hotel room.

More networking, greater interactions, bigger ROI:

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.

  • Leveraging Data to Give Your Company a Competitive Edge
  • Transition Your Organization into a Data-Driven Culture
  • Leveraging AI to Help to Ensure that Data is a Source of Value for the Organization
  • Overcome Data and Analytics Complexity and Ambiguity to Drive Business Value
  • Building a Successful Data Governance Strategy
  • Creating an Analytically Driven Organization: Implementing an Advanced Analytics Program
  • Developing Innovative and Creative Strategies to Attract, Develop and Retain Data and Analytics Talent
  • Ensuring the Ethical Collection and Use of Data & Analytics
  • Implementing Predictive Analytics to Forecast Revenue and Improve Marketing Campaigns
  • Personalizing the Customer Experience to Yield a Higher ROI
  • 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

Title ChartSubtitle Chart

    Title Chart 2Subtitle Chart 2

      This experience was amazing. It was personal, conversational and relational. It expanded my knowledge and more importantly, my network. Laura Vostad

      POET, Dir. L&D

      What I enjoyed most was that the number of attendees was big enough to provide me a wealth of information, but small enough to allow me to network with almost everyone at the conference. I walked away with pages of notes, many new contacts and met some great vendors that we will likely do business with in the future. Shelby Pyatt

      Rayonier, VP, HR & IT

      By far, this was the most engaging, value added convening of leaders. It was the right mix of experience, learning, and networking. I absolutely enjoyed the Disney Tour and the book exchange was brilliant. The roundtables were also an added bonus. Sharahn Monk

      Worldpay, US Market Leader, Learning and Development

      Great event, very well organized with relevant speakers and potential business partners. I would recommend to anyone. Shawn Dingle

      Sonic Automotive, Senior Training Director

      OPAL is first class. It was the best Conference that I ever attended from the standpoint of speaker quality, organization, and venue. They really seem to care! John Barbieri

      Sompo International, VP, Human Resources

      I thought the whole conference was so well run and that the OPAL team did an amazing job. I would definitely love to attend another event! Tennille Boyer

      Blue Ocean Brain

      Excellent line-up of speakers Connie Keys

      Campbell Soup, Head of Culture & Learning