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:

Venkat Achanta, Chief Technology Data and Analytics Officer, TRANSUNION
Ramila Peiris, Global Head, Data Management, ML and AI Platform, MSAT, SANOFI PASTEUR 
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 

•    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 

•    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:
Rita Fuller, Corporate VP Center for Data Science and Artificial Intelligence, NEW YORK LIFE INSURANCE COMPANY
Jasper Cannon, Strategy Consultant, CANNON STRATEGY CONSULTING
Kevin Nickerson, AVP, Analytics & Sales Enablement, CHUBB 
Alex Chan, Director Venture Analytics, RBCx

•    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, Former SVP, Data Science & Analytics, RECOVERY CENTERS OF AMERICA
Tamilla Triantoro, Associate Professor, QUINNIPIAC UNIVERSITY
Micky Chhabda, Analytics Leader | TEDx Speaker, IPSOS 

 

•    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

•    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, Former Chief Risk Information & Privacy Officer NORTHERN BANK
Jasper Cannon, Strategy Consultant, CANNON STRATEGY CONSULTING

Micky Chhabda, Analytics Leader | TEDx Speaker, IPSOS 

•    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 

•    Developing policies for data quality, security, and privacy 
•    Designing processes for data collection, storage, and management 
•    Best practices for data integration and interoperability 

•    Defining what constitutes AI-ready data and why it is crucial for achieving successful AI outcomes
•    How should you do this, and what are others doing?
•    Exploring how clients and vendors are currently preparing their data for AI
•    Best practices and recommendations for getting data AI-ready


Panelists:
Khizar Hayat, Chief Data Officer, DAKOTA
Martin Bernier, Senior Director Quantitative Strategies and Data Science, CAISSE DE DÉPÔT ET PLACEMENT DU QUÉBEC
Nishit Dhilen Mehta, Vice President, Data Analytics, JPMORGAN CHASE
Lin Liu, Director, Data Science, WEALTHSIMPLE

 

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

 

•    Pre ChatGPT: Natural Language Understanding (NLU) driven architectures and why they were successful
•    ChatGPT: Advent of large language models and their impact on conversational AI design, development, and deployment. Do we abandon the old in pursuit of the new?
•    Post ChatGPT: How do enterprise conversational AI systems evolve to meet existing and future challenges. What are some good design principles to keep in mind while building for the future?

 

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

•    Why being slow to adopt AI can hinder a company’s ability to remain competitive in today’s rapidly evolving business landscape
•    Examples of AI tools and strategies that are revolutionizing processes, improving decision-making, and enhancing overall business agility
•    Addressing challenges like resistance to change, skill gaps, and the need for cross-departmental collaboration to successfully implement AI

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, Strategy Consultant, CANNON STRATEGY CONSULTING
Eunice Beck, SVP Business Analytics & Quality, HEARTSHARE HUMAN SERVICES OF NEW YORK
Manish Nigam, Senior Director, AI at AMERIPRISE FINANCIAL