CDAO Fall Day 2 schedule

•    What are the biggest data management challenges that slow down digital transformation, and how can they be overcome?
•    How can organizations balance data quality, governance, and scalability to accelerate digital initiatives?
•    What role do AI and automation play in enhancing data management for a seamless digital transformation?
•    How can businesses effectively measure the impact of their data management strategies on digital growth?

Panelists:

Ramila Peiris, Global Head, Data Management, ML and AI Platform, MSAT, SANOFI 
Rafique Awan, VP Director, Information & Solution Architecture, MFS INVESTMENT MANAGEMENT
Randall Gordon, Head of Data Governance, CROSS RIVER
Gurprit Singh, Global Head of Data and Analytics, PARTNERS CAPITAL (former)

Akhil Mahajan, Technical Director, Data & AI, PROCTER & GAMBLE

Moderator: Celio Oliveira, Executive Director, GOVERNMENT OF CANADA

 

•    How future-focused CDAOs are aligning data strategy with long-term business goals, customer-centric innovation, and emerging technologies like GenAI
•    Building agile data organizations that can move fast—balancing governance with experimentation, and enabling real-time, high-impact decisions
•    Translating data investments into tangible business outcomes by embedding analytics into core operations, managing risk, and demonstrating value to the C-suite

•    From hype to reality – why many organizations struggle to move from talking about AI agents to actually deploying them.
•    Augmentation, not replacement – how combining AI’s speed and scalability with human empathy and judgment creates the best outcomes
•    Overcoming key challenges – data quality, hallucinations, compliance, and ensuring reliability in agentic solutions
•    Driving business value – real-world lessons on how AI agents can boost efficiency, empower human teams, and scale impact across industries

•    How to support the transition from decision support (charts and graphs) to decision automation (models) 
•    Managing accountability for the Amplified Value and Amplified Risk of AI (AI Governance) 
•    Scaling AI despite unprecedented operational complexity (AI Change Management) 
•    How to embrace the CDO/CDAO responsibility as the Enterprise AI leader (AI Portfolio Management) 

Panelists:
Sam Marks, Director of Business Strategy & Analytics, BOSTON BRUINS & TD GARDEN
Frederique De Letter, Head of Data Analytics & AI, PLANTE MORAN
Lin Liu, Director, Data Science, WEALTHSIMPLE
Gurprit Singh, Global Head of Data and Analytics, PARTNERS CAPITAL (former)

Anu Sundaram, VP, Business Analytics at RUE GILT GROUPE 

 

Moderator: Ellis Wong, Chief Information Security Officer, JST CAPITAL 

•    How do you know when your organization is ready to move beyond basic analytics?
•    What’s needed to position analytics as a core business driver, not just a support tool?
•    How do you balance innovation and governance as analytics capabilities grow?
•    What are the main blockers to analytics maturity—and how have you overcome them?

Panelists:

Kevin Nickerson, AVP, Analytics & Sales Enablement, CHUBB

Nishit Dhilen Mehta, Vice President, Data Analytics, JPMORGAN CHASE

Eunice Beck, SVP Business Analytics & Quality, HEARTSHARE HUMAN SERVICES OF NEW YORK

Moderator: Avinash Tripathi, Vice President, Analytics, UNIVERSITY OF PHOENIX

•    How to align analytics KPIs with broader business goals to track meaningful impact
•    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience
•    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience
•    Balancing financial outcomes (e.g., cost savings, revenue growth) with intangible benefits like improved decision-making and customer experience

Panelists: 

Sadashiv K Vaasista, Senior Director, Analytics, HONEYWELL 

Kevin Kramer, Senior Data Scientist Advisor, HEALTHSHARE EXCHANGE 

Tamilla Triantoro, Associate Professor, QUINNIPIAC UNIVERSITY 

Micky Chhabda, TEDx Speaker | Analytics Manager, IPSOS MMA 

Anu Sundaram, VP, Business Analytics at RUE GILT GROUPE 

 

Moderator: Mona Birjandi, Principal Economist and Director of Data Analytics, OUTTEN & GOLDEN, LLC 

•    What does "data productization" involve, and how does it transform traditional data management?
•    What key factors make a data product scalable and efficient in today’s fast-paced business environment?
•    What are the main challenges in productizing data, and what strategies can overcome them?
•    How does productizing data enhance decision-making and drive measurable business results

Panelists:
Diego De Aragao, Senior Vice President, Balance Sheet and Analytics, CITIGROUP
Gene Voskov, Chief, Data Analytics & Resources Bureau, Division of Local Services, MASSACHUSETTS DEPARTMENT OF REVENUE
Sudheesh Kamath, Head of Global Data & AI Products, KENVUE
Vatsal Modi, Data Science Leader, DRAFT KINGS

Moderator: Matt Geibel, Director, Enterprise, ALATION

•    How executive support and consistent messaging shape organizational mindset around data
•    Translating high-level data goals into practical behaviors, tools, and workflows
•    Equipping employees with the right data literacy and tools to make informed decisions at every level
•    Using success stories and feedback loops to reinforce a culture of data use and continuous improvement

Panelists: 

Linda Hermer, Chief Data Strategy Officer, AMMON LABS  

Thomas Shola, E Executive Director Enterprise Data & Analytics, Technology & Cybersecurity Risk & Controls, FIRST CITIZENS BANK   

Jasper Cannon, Management Consultant, CHESTERTON HILLS CONSULTING 

Micky Chhabda, Analytics Leader | TEDx Speaker, IPSOS  

Ganesh Sivakumar, Global Chief Data Analytics & AI, MEAD JOHNSON NUTRITION  

 

Moderator: Nishit Dhilen Mehta, Vice President, Data Analytics, JPMORGAN CHASE

 

•    Strategies to generate revenue from data, such as through data products, services, insights, or a modern data- and analytics platform  
•    How a modern data infrastructure and technologies supports the business strategy  
•    Strategies and experience with fostering a culture where data is valued and used effectively by all employees 

•    Defining customer data readiness: What foundational elements must be in place to support AI and CX innovation? 
•    Creating context with your data: How are organizations enriching customer profiles with behavioral, transactional, and engagement data to drive relevance and impact? 
•    Overcoming common challenges: From siloed systems to inconsistent identities and fragmented customer journeys, how are data leaders tackling barriers to readiness.  
•    Real world outcomes: What measurable benefits come from investing in customer data readiness? 


Panelists:
Khizar Hayat, Chief Data Officer, DAKOTA
Martin Bernier, Senior Director Quantitative Strategies and Data Science, La Caisse
Lin Liu, Director, Data Science, WEALTHSIMPLE
Shannon Haringx, Business Technology Director, VANGUARD

Moderator: Steve Zisk, Product Marketing Principal, REDPOINT GLOBAL

 

•    How AI Personalization is Reshaping Customer Engagement
•    Chatbots vs. Human Touch: Striking the Right Balance
•    AI Ethics in Customer Interactions

 

Welcome to age of Artificial Intelligence and Machine Learning, otherwise known as the Fourth Industrial Revolution. While we can trace steady advances in microchips over the past fifty years, the past 50 months have clearly demonstrated the disruptive force that generative artificial intelligence has become, particularly for leaders in volatile and uncertain business environments.
As members of the commercial scientific community we recognize that discovery and innovation is often isolated, by both approach and time, from the applied science that changes industry. Our call to action will focus on “weaponizing” data as a competitive advantage. Along the way we will look to what we can be learned and applied from human biochemistry, skyscrapers and Marco Polo.

 

PANEL DISCUSSION: Driving Efficiency and Innovation: Data Quality Management: Ensuring Accuracy, Consistency, and Reliability
•    Techniques for assessing and improving data quality.
•    Common data quality challenges and how to address them.
•    Tools and technologies for monitoring and maintaining data quality
Eric Higgins, Vice President, Global Online Data Science, THE ESTÉE LAUDER COMPANIES INC.
Joe Delpercio, Director, Analytic Services, ZEUS INDUSTRIAL PRODUCTS
Bappaditya Roy, Chief Cloud Architect, THE TJX COMPANIES, INC

• What risks do companies face if they delay AI adoption? 

• Can you share examples of AI improving decision-making or agility? 

• How can organizations overcome resistance to AI initiatives? 

• What’s the best way to address AI skill gaps in teams? 

• How can departments collaborate to make AI a business priority 

 

Panelists: 
Andrew Patricio, Chief Data and AI Officer, UNIDOSUS 
Robi Krempus, Global Head of AI, MANULIFE WEALTH & ASSET MANAGEMENT  
Frederique De Letter, Head of Data Analytics & AI, PLANTE MORAN 
Jasper Cannon, Management Consultant, CHESTERTON HILLS CONSULTING 
Manish Nigam, Senior Director, AI, AMERIPRISE FINANCIAL  
 

Moderator: Dr. Ram Singh, Chief Performance Media Officer, NIGHT MARKET