As organisations race to turn AI investment into real business value, industry events are becoming a critical space to separate hype from reality. At this year’s Data Decoded London, leaders, practitioners, and technologists came together to share honest perspectives on what it really takes to make AI work in practice.
In this piece, Tech Evangelist David Savage reflects on the key conversations from the event, exploring the growing disconnect between leadership ambition and on-the-ground execution, and what organisations must do to close that gap.
Despite a tube strike, London’s Olympia was packed for the very first Data Decoded conference. It’s clear that AI is keeping business leaders awake at night; they’ve invested a huge amount of money and are desperate to see a return on that investment. But as the conversations over the two days revealed, you can't run before you can walk.
Going into the event, we carried a tension-filled statistic from our latest tech talent salary survey: “after speaking to over 3,000 tech professionals, we found that 46% (nearly half) don't believe their leadership truly understands AI”. Here’s how the conversations we had at Data Decoded unfolded.
Making sense of tech: The reality gap between the C-Suite and the ground
We put that 46% stat to the experts on the floor, and the reactions were revealing. Surprisingly, many felt the number was actually too low. Kam Karaji, Director of Cybersecurity at the NFL, told us he expected it to be higher because there is a distinct education gap we haven't bridged. Leaders often assume AI will magically "solve their world" and give them all the information they need, but they fail to translate that into valuable business decisions.
Josie Reinhardt, Enterprise GTM at Hex, felt that the C-suite is pretty far removed from the realities of capturing value from AI. “You can't just throw AI on top of data and expect magic to happen; there is vital, foundational "boots on the ground" work required to make it successful”.
Navigating the maze: The nuts and bolts of governance
Before AI can revolutionise a business, or as NASA Duty Branch Chief Dr Jeevan Perera brilliantly pointed out, handle the mundane maintenance of a lunar base so humans can focus on the "cool science", the foundations must be solid. The recurring theme at Data Decoded wasn't about the flashiest new algorithm, but rather the unglamorous necessities: “data governance, data strategy, security, and sustainability”. These are the critical policy and governance conversations that organisations absolutely must get right before deploying the tech at scale.
The talent blueprint: Closing the understanding gap
As organisations scale, the disconnect between practitioners and leaders becomes a critical operational hurdle. It's naturally expected that practitioners on the ground will have a deeper grasp of AI tools than the executives above them. However, as the ECB’s Performance Data Analyst Aaron Briggs told us, we need leadership groups to actively engage with these tools and understand how practitioners are using them. Only by understanding this base level of operation can leaders design effective, accountable strategies.
The vibe: A thirst for substance
What stood out most over the two days wasn't just what was said on stage, but how it was received. At many conferences, it's not uncommon to see people ‘phoning it in, scrolling on their phones instead of being present during talks. At Data Decoded, attendees were completely plugged in, present, and actively taking notes.
The technology is evolving so rapidly that there's a palpable realisation of how much there is to learn. The fact that almost half of technologists doubt their leaders' AI comprehension underlines a massive need for education, awareness, and better implementation.
To hear these perspectives firsthand, watch our exclusive on-the-ground video from Data Decoded London, where digital leaders share their candid views on AI adoption, leadership challenges, and what’s next.
