Three Big Themes from #BigDataLondon2025: Governance, Culture and Automation

Springboard your AI journey through our Data Product approach

According to an MIT report (August 2025), 95% of organizations are getting zero return on their AI investment.

At #BigDataLondon, many reasons for this were discussed and three main areas Projective Group believes to focus efforts stood out: Governance, Data, and Security.

• Governance: A new AI governance architecture layer as part of an embedded strategy is vital to map and track which data products are available to power AI initiatives, ensuring transparency, control and improved accuracy.
• Data: Integrate organisational semantic knowledge and graph models into AI systems via Model Context Protocol (MCP) to dramatically enhance the quality and reliability of AI outputs that improve over time.
• Security: To meet growing data demand, organisations must design data access policies that accommodate both AI agents and humans; this is essential to build AI with AI.

With Projective Group’s deep expertise in metadata management we have developed a data product approach which embeds governance and security into every layer of the data architecture to make the data more accessible and organisations more prepared to adopt AI.

If you’re interested in how metadata can unlock AI’s potential, don’t be another statistic, our current state assessment is a great starting option!

Check out this recent case study where we helped a global enterprise transform their metadata into measurable business value. If you’re looking to unlock the full potential of your data, let’s talk.

MetadataManagement #AIGovernance #BigDataLondon #AI #DataProducts
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