Corinium

Steering innovation in enterprise technology through market intelligence and events.

At Corinium, we have been bringing together the brightest minds in data, artificial intelligence and information security since 2013, to innovate at the intersection of technological advancements and critical thinking. Our global community - comprising thousands of industry experts – provides both technical and business learning, to help navigate challenges and generate opportunities for growth. By connecting the right people with the right insights, we are able to help leaders drive greater efficiency and cultivate innovation within their organisations.

03/11/2026

𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐝𝐚𝐭𝐚 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐭𝐡𝐞 𝐬𝐭𝐚𝐭𝐮𝐬 𝐪𝐮𝐨.

We're excited to announce Vijay Gandra, Global Chief Data Officer at Acrisure, as an official speaker at 𝐂𝐃𝐀𝐎 𝐃𝐚𝐥𝐥𝐚𝐬!

With data and AI continuing to reshape how organizations operate, leaders are facing new questions around strategy, scalability, governance, and turning data investments into measurable business outcomes.

Don't miss the opportunity to hear from Vijay and connect with fellow data and AI executives on December 2, 2026, at The Highland Dallas in Dallas, TX.

𝐒𝐞𝐜𝐮𝐫𝐞 𝐲𝐨𝐮𝐫 𝐩𝐥𝐚𝐜𝐞: https://hubs.ly/Q04D7gpX0

03/11/2026

The next phase of enterprise AI will require more than proving the technology works. Organizations need to understand, explain, and stand behind the decisions it makes.

That’s the central issue explored in 𝘛𝘩𝘦 𝘊𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘤𝘦 𝘎𝘢𝘱 𝘪𝘯 𝘈𝘐 𝘋𝘦𝘤𝘪𝘴𝘪𝘰𝘯𝘴, a report from Corinium and FICO.

The research uncovers an interesting tension in the current AI landscape: organizations are seeing returns, but confidence in their ability to explain AI-driven decisions remains low. Just 5.2% of leaders surveyed say they are very confident in explaining those decisions to regulators and customers.

The report takes a closer look at what’s driving that gap, including governance and accountability, cross-functional collaboration, and the barriers slowing agentic AI adoption.

For data and AI leaders thinking about what responsible AI looks like in practice, these findings offer plenty to consider.

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬:
https://hubs.ly/Q04D04Rr0

Cecilia Dones

03/11/2026

There’s a difference between having an AI strategy and having the data foundations to support it.

Many organisations are investing heavily in AI, but the underlying data modelling practices needed to make those initiatives successful aren't keeping pace.

Our research with Quest Software, based on insights from 101 data and analytics leaders across Europe, uncovers a telling picture of where organisations stand:
- Only 8% consider their data modelling capabilities AI-ready and scalable.
- Just 32% say their data models support AI-ready, reusable data across most of the organisation.
- Only 2% have achieved this consistently across the enterprise.

So what's standing in the way of progress?

𝘚𝘰𝘭𝘷𝘦𝘥 𝘰𝘯 𝘗𝘢𝘱𝘦𝘳 𝘣𝘶𝘵 𝘕𝘰𝘵 𝘪𝘯 𝘗𝘳𝘢𝘤𝘵𝘪𝘤𝘦 explores the disconnect between AI ambition and data modelling maturity, highlighting the operational challenges leaders need to address before they can scale with confidence.

𝐖𝐚𝐧𝐭 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐡𝐞𝐫𝐞 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐬𝐭𝐚𝐧𝐝𝐬? 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭:
https://hubs.ly/Q04C__0X0

Sally Bashuan

03/11/2026

The agenda is live for AI in Cyber ASEAN Online — taking place on 27 January 2027!

Join cyber security leaders from across the region to explore four critical themes:
• Outsmarting an evolving adversary
• Human judgement embedded in operations
• A force multiplier for security
• Trust that stands up to scrutiny

Meet our confirmed 2027 speakers:
• Tarun Samtani, Council Member – AI Safety, Ethics & AI Governance, Singapore AI Association (SAIA)
• Gaurav G, SVP/Senior Director of IT Risk, Audit & Compliance, Former UOB Bank
• Sourabh Chitrachar, CTO, MS First Capital Insurance
• Karan Bareja, Lead – Threat Operations, Standard Chartered Bank
• Dr Manmeet Mahinderjit Singh, Associate Professor, University Sains Malaysia
• Varun Srivastava, Head of Cyber Security Operations – APAC, UBS

Discover practical ideas for scaling AI securely, strengthening accountability and building resilient organisations.

Explore the agenda here: https://hubs.ly/Q04D40GC0

Register here: https://hubs.ly/Q04D40DQ0

02/11/2026

𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐒𝐩𝐞𝐚𝐤𝐞𝐫 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐂𝐃𝐀𝐎 𝐃𝐚𝐥𝐥𝐚𝐬

We're pleased to welcome Shahran Haider, Deputy Chief Data Officer at NYC Health + Hospitals, to the speaker lineup for 𝐂𝐃𝐀𝐎 𝐃𝐚𝐥𝐥𝐚𝐬!

As organizations continue to navigate the evolving data and AI landscape, the perspectives of experienced data leaders are essential to shaping what comes next. We're looking forward to having Shahran join the conversation in Dallas.

Join us on December 2, 2026, at The Highland Dallas for a day of insights, collaboration, and conversations with fellow data and analytics leaders.

𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐢𝐧 𝐚𝐭𝐭𝐞𝐧𝐝𝐢𝐧𝐠? 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://hubs.ly/Q04C-v2N0

30/10/2026

𝐍𝐞𝐱𝐭 𝐬𝐭𝐨𝐩: 𝐃𝐚𝐥𝐥𝐚𝐬!

We're bringing the CDAO community to Texas for the next stop on our 2026 event calendar.

Join us on December 1 in Dallas for 𝐂𝐃𝐀𝐎 𝐃𝐚𝐥𝐥𝐚𝐬, where senior data and analytics leaders will come together to share perspectives, exchange ideas, and explore how organizations are navigating the evolving data and AI landscape.

From building stronger data strategies to driving business value with AI, it's another opportunity to connect with the people shaping what's next for enterprise data leadership.

𝐇𝐚𝐯𝐞𝐧'𝐭 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫𝐞𝐝 𝐲𝐞𝐭? 𝐓𝐡𝐞𝐫𝐞'𝐬 𝐬𝐭𝐢𝐥𝐥 𝐭𝐢𝐦𝐞: https://hubs.ly/Q04CSlqd0

We'll see you in Dallas!

29/10/2026

Scaling AI comes with a difficult balancing act: delivering business value while ensuring decisions remain explainable, accountable, and trustworthy.

So how are enterprise leaders managing that challenge?

The new State of Responsible AI 2026 report from Corinium and FICO explores the realities behind enterprise AI adoption, drawing on insights from 1,004 senior data, analytics, and AI leaders across seven industries.

The research examines several questions facing organizations today:
- Are AI governance frameworks being enforced consistently?
- Can teams explain AI-driven decisions to regulators and customers?
- What’s preventing closer alignment between AI and technology leadership?
- How prepared are organizations to deploy agentic AI at scale?

The findings reveal that positive ROI alone doesn't tell the whole story. Building the confidence to scale AI requires attention to the organizational and operational challenges behind the technology.

Explore the research and see what the findings mean for responsible AI adoption:
https://hubs.ly/Q04CL4l90

Madhu Mukherjee

29/10/2026

Are your data models actually being reused, or are teams repeatedly solving the same problems from scratch?

It’s a question worth asking. In our latest report with Quest Software, Solved on Paper but Not in Practice, research among 101 data and analytics leaders across Europe found that 55% of organisations often reuse data models across projects, but only 7% have systematic reuse across the enterprise.

That gap matters. When models aren't easy to find, trusted or shared, teams risk duplicating work and adding unnecessary friction to data delivery.

The report explores why data modelling maturity remains uneven across organisations, examining everything from tooling and governance to collaboration and AI readiness.

The opportunity isn't necessarily to invest in more tools. It's to make the capabilities organisations already have work better together.

Download the report to explore the findings and practical implications for data leaders:
https://hubs.ly/Q04CL4d_0

Pier Martin

27/10/2026

𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐀𝐈 𝐢𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲. 𝐓𝐡𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐢𝐬 𝐭𝐮𝐫𝐧𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲 𝐢𝐧𝐭𝐨 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞.

In 𝐓𝐡𝐞 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐆𝐚𝐩 𝐢𝐧 𝐀𝐈 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬, Corinium and FICO examine how enterprise leaders are approaching AI governance, accountability, explainability, and the next wave of agentic AI.

One finding is particularly telling: 96.4% of respondents believe closer collaboration between AI and technology leadership on a shared platform could unlock additional ROI.

The research also finds that security and data quality remain major obstacles to broader agentic AI adoption.

Based on a global survey of 1,004 senior data, analytics, and AI leaders, this report explores what organizations need to address as they look to scale AI while maintaining trust and accountability.

Where are organizations making progress, and where are the biggest gaps?

𝐅𝐢𝐧𝐝 𝐨𝐮𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐫𝐞𝐩𝐨𝐫𝐭 𝐟𝐫𝐨𝐦 𝐅𝐈𝐂𝐎 𝐚𝐧𝐝 𝐂𝐨𝐫𝐢𝐧𝐢𝐮𝐦 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞:
https://hubs.ly/Q04BXnGM0

27/10/2026

𝐇𝐚𝐯𝐢𝐧𝐠 𝐚 𝐝𝐚𝐭𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐩𝐨𝐥𝐢𝐜𝐲 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐢𝐥𝐲 𝐦𝐞𝐚𝐧 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐢𝐬 𝐰𝐨𝐫𝐤𝐢𝐧𝐠.

According to new research from Quest Software and Corinium, 70% of organisations have defined data governance in some areas, but only 9% report centralised, enforced governance across the enterprise.

That gap between policy and practice can have consequences for data quality, consistency and the ability to scale AI initiatives with confidence.

Our report, 𝐒𝐨𝐥𝐯𝐞𝐝 𝐨𝐧 𝐏𝐚𝐩𝐞𝐫 𝐛𝐮𝐭 𝐍𝐨𝐭 𝐢𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞: 𝐖𝐡𝐲 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐌𝐚𝐭𝐮𝐫𝐢𝐭𝐲 𝐎𝐟𝐭𝐞𝐧 𝐒𝐭𝐚𝐥𝐥𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐈𝐭 𝐒𝐜𝐚𝐥𝐞𝐬, examines how organisations are approaching data modelling today, where implementation falls short, and why progress often stalls before reaching the enterprise level.

Based on a survey of 101 data and analytics leaders across Europe, alongside interviews with senior data leaders, the research offers a closer look at the challenges behind the numbers.

𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐟𝐫𝐨𝐦 𝐐𝐮𝐞𝐬𝐭 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬:
https://hubs.ly/Q04BXmTn0

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