Working in the investment industry, I saw firsthand how fragmented and siloed data could slow decision-making to a crawl. Multi-million-dollar projects were still tracked in Excel sheets, which were isolated, rigid, and nearly impossible to integrate across teams.

Each spreadsheet had its own format, assumptions, and structure, making data exchange a nightmare. Something as simple as a column order change could break entire workflows, and reconciling information across departments was time-consuming, error-prone, and frustrating.

For years, the industry accepted this as “just how things work.” But it doesn’t have to be.

What if data could structure itself?

This is the power of AI-driven Linked Data transforming raw, unstructured information into fluid, connected intelligence.

Just as Web 1.0 connected computers and Web 2.0 connected people, Linked Data connects information, breaking down silos and enabling seamless data interaction. AI-powered LLMs take this a step further, abstracting away the cognitive and analytical effort needed to transform raw data into structured, meaningful insights.

Instead of spending hours wrangling spreadsheets and databases, investment firms, procurement teams, and financial institutions could query knowledge directly, making sense of disparate data in real time.

Converting Siloed Spreadsheets to Connected Data

The impact? Faster insights. Smarter decisions. No more data dead-ends.

• Investment portfolios could update dynamically, pulling from live data rather than static files
• Teams could ask questions and get real-time, structured answers rather than relying on outdated reports
• Legacy systems wouldn’t have to be painfully integrated; they’d evolve into something better, more innovative, and more connected
• No more wasted time migrating all of your data into a closed system that is expensive, rigid and limited only by the progress of its engineering team

The reality is that structured data isn’t meaningful data, but with AI-powered Linked Data, we can finally bridge that gap.

“What if every industry instantly had seamless, intelligent access to all of its knowledge?”

How much time could we save?

How many opportunities could we unlock?

How much innovation could we inspire?

The future isn’t just about collecting more data but making the data we have work for us.

The era of knowledgeable, interconnected data starts now.