Thought leadership on the latest trends in Data, AI, management, and innovation; giving CDOs, Data & AI leaders the insights and practical knowledge they need to navigate complexity and drive transformation.
Your board is asking about AI. The real question is whether your data is ready for it. Here's what DCAM and CDMC reveal and the five gaps we find in almost every organisation.
AI adoption is no longer being slowed by capability. It’s being slowed by trust. The next wave of enterprise AI will be defined by governance, privacy-enhancing technologies, and trusted data ecosystems.
Most data products look right on paper but fail in practice. Ownership is unclear, value isn’t tied to decisions, and trust is assumed, not engineered. The result? Low adoption, weak impact, and growing complexity. Here’s what’s really going wrong.
AI success is not determined by technology alone. Without a strong Data Culture, even the most advanced AI systems struggle to deliver value. Organisations that embed trust, accountability and data-driven decision-making unlock AI’s true potential.
At the core of every successful Data Product is quality — not just in the data itself, but in the methods, metadata, and discipline that support it. Explore how organisations can find, understand, combine, and trust their dat through Data Product models.
Most organisations still face fragmented and inconsistent data. Data Products close that gap — transforming information into a reliable engine for insight and growth.
Self-Sovereign Identity (SSI) is redefining how individuals manage and share personal data online. As businesses and governments face growing cybersecurity threats and rising privacy expectations, SSI is emerging as a scalable, secure, and user-first identity framework—powering inclusion, innovation, and economic opportunity in the digital era.
From failed AI projects to regulatory fines and lost productivity, poor data quality is a hidden tax on innovation. Learn why it matters—and how to fix it.
As the EU Data Act takes effect, explore how it aims to enhance data accessibility and fairness across all sectors, impacting businesses within and outside the EU.
Discover how DCAM & CDMC frameworks enhance data governance, security, and cloud management—empowering businesses to unlock data-driven success.
As businesses continue to navigate a fast-paced digital landscape, data and
analytics remain at the forefront of innovation and decision-making.
If I were to ask you, "Do you know, worry about, or understand data risk as it relates to your job or organisation?", most people might switch off immediately.
Why do many data strategies fail to gain investment, lose momentum and become ineffective shelfware?
EU Parliament endorses AI Act, the first legal framework classifying AI systems with a risk-based approach.
Exploring 2024's pivotal data trends shaping analytics, redefining competition and driving lasting business impact.