As artificial intelligence evolves from providing insights to triggering real-world actions, organisations face a new challenge: determining who is accountable when automated systems influence outcomes.

In this commentary, Tirumala Ashish Kumar Manne explores the governance, security, and oversight considerations required for responsible deployment of agentic AI, arguing that effective innovation depends on clear accountability, robust safeguards, and meaningful human involvement in high-impact decisions.

Take a look back at the CDO Healthcare Exchange USA 2026.

This post-event report captures the key themes, speaker insights, panel discussions, and peer-to-peer conversations that defined this year's Exchange. From scaling AI responsibly and strengthening data governance to transforming healthcare operations and improving patient outcomes, discover the strategies and lessons shared by some of healthcare's leading data and analytics executives.

Download the 2024 post event report for exclusive insights on attendee investment priorities, audience breakdown, key themes discussed at the event, and much more!

CDO Healthcare Exchange 2025 – Post-Event Report

Explore the key insights and strategic takeaways from the CDO Healthcare Exchange 2025. This exclusive post-event report highlights how senior data leaders across the healthcare ecosystem are tackling real-time decision-making, AI integration, data governance, and improving patient outcomes through innovation. What’s included:

• Top discussion themes and strategic insights
• Breakdown of delegate roles and organizations
• Featured speakers and solution providers
• Opportunities and challenges shaping 2025
• Key stats and engagement highlights

Whether you joined us onsite or are exploring future involvement, this report is essential reading for anyone driving data transformation in healthcare.

Created by Prominence Advisors, this guide breaks down the data and AI maturity journey for healthcare organizations - from building strong data foundations to enabling automation and enterprise‑level AI. You'll gain insight into proven use cases, scalable architectures, and the strategies Prominence uses to help health systems accelerate transformation.

Download now to access Prominence’s expert approach to advancing data & AI maturity.

The HIMSS Analytics Maturity Assessment Model (AMAM) determines where healthcare organizations are on the data and analytics maturity curve. Only a handful of organizations worldwide have reached the highest level, indicating population-level predictive modeling. The CDO Healthcare Exchange was lucky enough to sit down with Ryan Sousa, a data and analytics leader who has led organizations through the journey to HIMSS AMAM Stage 7. In this interview, Ryan shares valuable insight on:

• The roadmap to reach HIMSS AMAM Stage 7 
• The kind of cultural change needed to reach HIMSS AMAM Stage 7
• The impact that advanced analytics can have on patient care and employee experience
  

Is your organization ready for the generative AI revolution?

Download this exclusive article to explore the real-world applications, opportunities, and risks of generative AI in healthcare. From personalized treatments and faster drug development to AI governance and responsible adoption, uncover the strategies leading healthcare organizations are considering today.

Can data help solve healthcare's nursing shortage?

Download this thought leadership article to explore how leading healthcare providers are using analytics and AI to forecast staffing needs, optimize nurse scheduling, improve retention, and free up valuable clinician time through automation.

Patient identity is a pervasive problem that impacts nearly all areas of hospital operations. 72% of health IT executives report that siloed, inaccurate patient data hurts care quality and the bottom line. To guarantee the integrity of your data and empower your strategic initiatives, it’s essential that your MDM technology provide a complete and trusted, single source of truth for identity for patients, members, consumers, providers, and communities.

Organizations like Northwell, Baptist Health, Intermountain Healthcare, Healthix and United Healthcare use Verato to ensure accurate, reliable identity verification and resolution. To see why it works, check out Verato's comprehensive hMDM guide for insights you can use.

Could Amazon Pharmacy redefine the future of healthcare?

Download this exclusive article to explore how challenger pharmacies are disrupting traditional healthcare models through digital innovation, enhanced convenience, data-driven personalization, and new approaches to patient care. Learn what these shifts could mean for providers, patients, and the wider healthcare ecosystem.

Insight into how Kerri Webster, Chief Analytics Officer at Children's Hospital Colorado, led a data team to predict patient numbers to within a 98% accuracy, 72 hours ahead of time. 

An interview with Martin French, Head of Data Engineering at Sanne Group.

Listening to consumer feedback has never been so important in a post-pandemic digitalized era, and this is especially true in healthcare where customer experience frustrations are becoming concerningly common. So common, in fact, that 1 in 4 healthcare customers get stuck in their customer journey every day.

Download the report to find out:

• Why healthcare customers are getting stuck
• Common CX healthcare disruptions
• What disruptions mean for healthcare organizations
• The next steps to take to resolve the CX journey
  

Rafid Denha, Global Head of Transformation – Compliance Data, HSBC

An interview with Rafid Denha, Global Head of Transformation, HSBC.

Tableau has developed the Data Culture Playbook to guide executives and data leaders in how to mature data usage across the organization in a way that ensures value is being created where and when it is needed most. The playbook lays out a phased approached to build, run, and expand your Data Culture.

• Data lake origins and challenges including hybrid data integration, multiple data source platforms, and lakes both on premises and in the cloud.
• Real-time integration, with change data capture technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assembles a historical data store.
  Leveraging a scalable and autonomous streaming data pipeline to deliver analytics ready data sets.

As data increasingly emerges as the currency for innovation and competitive advantage, it is essential to build a modern and agile data ecosystem that will support and augment business-decision making. A robust strategy that treats data as a strategic corporate asset is crucial to maximising its value across the business. But as digitalisation proflerates and the world becomes more connected than ever, businesses are grappling with an overwhelming volume and variety of data.

This begs the question: where should you begin in formulating a vision and strategy that connects the disparate parts of the data puzzle to unlock enhanced decision-making capabilities? In this session, Rob McKendrick shared how The Co-Op is building a strategy that places data at the core of the business to both drive internal operational efficiencies and foster improved customer outcomes.

• Moving from federated to centralised operating model to break down functional and data silos
• Aligning your data vision to the creation of customer value
• Embedding trust and ethics into your approach to data usage in order to build transparency

Rob McKendrick, Head of Data Governance and Management, The Co-Op

The explosion of data being generated, curated, and shared within organisations in recent years has brought with it unprecedented risks. As consumers and regulators alike are becoming more concerned with the misuse of data, the question of ethics and inherent societal bias in data has been thrust into public consciousness. High-profile data breaches have proliferated over the past few years, so it is crucial that organisations create ethical data practices in order to avoid the astronomical consequences of a breach, not just from a financial point of view, but also from a reputational perspective.

This panel discussed how to navigate the complexities of data ethics in order to foster a trust-based, transparent approach to data and analytics.

• What are the key risks that organisations need to be aware of regarding the ethics of data and AI?
• What metrics/procedures can be put in place to ensure that you can both understand and mitigate your risks?
• How can you ensure that customers have a transparent view of how their data is being used?
• How can you navigate the risk of unconscious societal biases?

Speakers on the panel:

• Sudip Trivedi, Head of Data and Analytics, London Borough of Camden
• Mahesh Bharadhwaj, Head of Europe Analytics, Funding Circle
• Dan Gilbert, Director of Data, News UK
• Nina Monckton, Head of Data Strategy, Advanced Analytics and Data Science, AXA Health
• Moderated by Robin Sutara, CDO, Microsoft