From AI Resistance to AI Readiness: Takeaways from The Databricks Diaries Podcast
- Primus Connect

- Jul 17
- 3 min read
Updated: Jul 31

AI is a multifaceted transformation that touches every area of an organisation, from culture and governance structures to experimentation frameworks and individual mindsets. In recent episodes of 'The Databricks Diaries' podcast, a stellar lineup of industry leaders dissected the challenges and opportunities in AI adoption.
The Tug-of-War Between Culture and Technology
Cultural readiness often outweighs technical competence in the race towards AI adoption. Shani Reynolds, Head of Data Governance at First Sentier Investors, explained, “AI readiness isn’t just about data maturity—it’s about people, mindset, and a governance framework that evolves alongside innovation.”
Organisations often face significant internal resistance when rolling out AI tools. “There’s a real danger when you achieve that cadence of change,” Reynolds warned, “that you leave behind a fairly sizeable subset of your employees or clientele.”
Governance That Enables, Not Polices
The AI Readiness series has also highlighted governance, a critical—but often misunderstood—pillar of AI adoption. Iñigo Antolín of the British Council highlighted the pitfalls of “shiny tool syndrome,” emphasising, “There’s no miracle tool that fixes everything. If the basics—like data quality—aren’t there, the AI won’t work.”
Ako Sabir, a seasoned AI leader in the insurance industry, described the governance framework as “an enabler rather than just a purely policing function.” He advocated a principle-based approach, leveraging existing systems and creating visibility across all organisational levels—from boards to operational teams.
Experimentation Is Non-Negotiable
Guests also discussed the essential role of experimentation in fostering AI adoption. Reynolds shared how her team introduced AI to employees through playful but meaningful interactions, like testing chatbots with questions as personal as, “I’m going to Barcelona for a holiday in July. What festivals or events are happening? How do I get tickets?”
This focus on hands-on interaction eased fears and boosted engagement. “We created feedback loops that not only addressed technical flaws but tackled the cultural points—how people were feeling about the technology,” she explained.
On the flip side, Sabir warned against ‘proof-of-concept purgatory,’ where early experimentation fails to transition into scaled deployment, highlighting the importance of ROI-focused use cases and advising organisations to “prioritise tangible projects that show value immediately while building foundational capabilities incrementally.”
True Ethical AI
AI adoption isn’t just about data and results; it’s also about ethics and making sure that humans remain at the centre. Thor, Director of Field Engineering at Databricks, underlined the increasing importance of combating bias and ensuring inclusivity in AI. “Democratising AI is about bringing its power into the hands of everyone, not just the tech elite or big organisations. That’s true ethical AI.”
By removing silos and balancing democratisation with robust governance, organisations can empower teams while maintaining compliance. However, as Thor pointed out, “Bias-free AI is an ongoing goal, not a destination. You need to continually monitor and refine models to uphold these standards.”
The Human Factor Matters Most
AI may be a disruptor, but it requires human champions to guide its adoption. James Garner, Head of AI & Data at Gleeds, highlighted the risks of poor communication during adoption efforts, stating, “If early experiences with AI are negative or ambiguous, it’s incredibly hard to win employees back over.”
Garner emphasised the importance of literacy and trust-building, recommending organisations simply ask themselves, “Can AI do this for me?” to uncover practical opportunities for integration.
The Databricks Diaries Podcast
AI is today's game-changer. To fully grasp the nuances shared in these episodes, we invite you to listen to the latest discussions on ‘The Databricks Diaries’ podcast. These real-world insights from AI leaders can guide your next steps toward successful AI adoption.



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