CDAIO//DIVISION

Abhishek Mittal is the Chief Product & AI Officer at AML RightSource, where he spearheads product innovation and AI-enabled transformation for global compliance services. With over 20 years of experience in financial services and legal technology, he specializes in commercializing scalable AI solutions that drive recurring revenue, EBITDA expansion, and operational efficiency.

Previously, as a VP at Wolters Kluwer, Abhishek managed a $1B+ portfolio and launched award-winning AI products—securing multiple patents along the way. A recognized thought leader, he combines deep domain expertise with cutting-edge machine learning strategies to transform legacy operations into data-driven centers of excellence.

Chidroop Madhavarapu serves as Vice President of Data at Point, leading data strategy and analytics. With almost two decades of experience in software engineering, data science, predictive modelling, and analytics, he has a strong track record of translating data into transformative business strategies.

Chid has extensive experience helping enterprise companies and multinational businesses reimagine workflows, leveraging data-driven insights to enhance efficiency and drive innovation. He holds a Bachelors and Masters in Computer Science.

Dartanion Williams is a passionate public servant, currently serving in a dual capacity as Chief Data Officer and Chief Performance Officer for Baltimore City. He brings experience across local government, nonprofits, big tech, and startups, leading data, technology, and operations initiatives that increase efficiency, modernize services, and deliver better experiences. His work has included reforms in areas such as student information management, special education transportation, emergency medical services, and city services like 311 and permitting.

Dartanion has taught in data analytics programs across the nation, most notably at The George Washington University. He is deeply committed to building strong teams and using data, design, and technology to make government simpler, more transparent, and more responsive for residents.

Gopal is a transformational AI, Data and Technology Executive with 20+ years leading enterprise-scale transformation across Real Estate, SaaS, and Global Technology (Cisco, Dell-EMC, Tibco), including as a startup founder. Modernizing cloud data platforms, governance, and AI enablement and operating models to unlock Billions in revenue impact for large and small enterprises has been the focus for Gopal.

Manoj is a global Data, Analytics and AI transformation leader with extensive experience driving enterprise AI adoption, decision intelligence and analytics modernization across complex, fast-moving organizations. As Head of Data Analytics at Wiser Solutions, he leads enterprise AI strategy and analytics transformation, enabling organizations to move beyond traditional reporting toward intelligent, AI-driven decision-making at enterprise scale.

With a career spanning enterprise SaaS, retail intelligence and fintech, including prior experience at Capital One, Manoj brings a rare blend of AI strategy, platform thinking and executive business acumen.

Michael Baker is the Global Head of Consumer Data Science, Advanced Analytics & AI at NielsenIQ, overseeing consumer measurement data strategy and AI innovation across 25 countries. His team designs and modernizes data science solutions that power insights for the world's largest consumer goods companies. With over two decades of leadership experience, Michael has guided organizations through digital transformation and scaled AI adoption, including senior roles at Chamberlain Group and Nielsen. He is also the founder of Navigar Partners, a consulting firm specializing in data and AI strategy.

Michael has served as an adjunct professor of statistics at Benedictine University and visiting professor of economics at Knox College, holding advanced degrees in economics from Roosevelt University and Knox College.

Patrick is the Global Head of Data Enablement at AIT Logistics, a worldwide logistics company with operations across the USA, Asia, and Europe. He brings over 25 years of experience leading data strategy and enablement initiatives at Fortune 500 organizations including American Medical Association, Kellogg, and Caterpillar, as well as consulting engagements at EY and Slalom across multiple industries. Patrick drives enterprise data strategy through four key portfolios: Data Governance, AI & Data Science, Business Intelligence & Analytics, and Organizational Change Management.

A recognized thought leader, he frequently delivers keynote speeches and serves on advisory boards for CDO Magazine, Gartner's CDO/CDAIO, and Consero, and was recently named a Top 25 Chicago Data Leader.

Paul Aasmundstad leads Data Governance at Ryan Specialty, where he focuses on building the governance and data protection capabilities required for AI-ready enterprises. His perspective is shaped by nearly 30 years of cross-industry leadership experience spanning financial services, insurance, manufacturing, and transportation. He advocates for governance as a strategic capability that enables responsible innovation, reduces risk, and creates measurable business value, with a particular focus on how governance can accelerate trusted AI adoption and how AI can modernize traditional governance practices.

Paul is a contributing author to the EDM Council's "Measure, Manage, Create Value", "Data Office ROI Playbook", and a contributor to Tavro.ai's "AgentBizOps: Agentifying AI Adoption with Enterprise Digital Twin". He has spoken at DAMA, InsurTech and IDMA conferences, where he shares approaches for transforming governance from a compliance obligation into a measurable driver of risk reduction, innovation, and business value.

Piyush has extensive strategic, architectural and delivery experience leading Enterprise level Data & AI teams. Fortunate to serve as a leader in NYC for large corporates such as JNJ, American Express, NBC Universal, Pernod Ricard, and most recently as Head of Enterprise Data Engineering, Platform and Architecture at Petco where he led e2e healthcare data initiatives.

Known in the industry to consistently deliver excellent results leading cross-functional projects partnering closely with leaders from IT, Analytics, Operations, Sales, Marketing, FP&A, Research, Legal etc.

Prakash is the Senior Director of Data and Platform Engineering at Okta, driving enterprise data strategy and platform modernization. Prakash brings deep expertise in modernizing data platforms, working with multi-modal data, and building high-quality data products that empower businesses to make decisions with precision and scale.

Prakash is a recognized thought leader who sits on several executive technology councils, advisory boards, delivers keynote speeches, and contributes to the local Austin, TX community of AI and Data, partnering with local Collectives/Organizations to organize Hackathons, Workshops, tech-talks, and fireside chats. Prakash is a recent recipient of the "40 under 40" Business Elite Awards 2026, recognized due to his contributions to the Data Community.

Shivani Gupta leads Data, Analytics & AI at Centric Brands, where she's driving a data-first transformation modernizing the enterprise data platform, operationalizing AI, and unlocking a new generation of insights across the business.

With more than two decades of experience spanning finance, retail, and entertainment, Shivani works at the intersection of AI, cloud, and analytics. She's known for pairing strategic vision with deep technical fluency to build scalable solutions that accelerate business growth.

Vijay Gandra is a seasoned data and technology executive with over 20 years of experience at organizations including Yahoo, Stanford, Intuit, and Acrisure. He leads enterprise data strategy, scalable platforms, analytics, and AI-driven product innovation. His approach is anchored in three pillars: strong data governance, intuitive self-service capabilities, and AI-ready data foundations.

Vijay builds high-performing teams and modern data ecosystems that make trusted insights easier to access and act on. He combines technical depth with business leadership to turn data into measurable, enterprise-wide impact.