S7 | Ep 27 | The Secret to Enterprise AI Success according to HP with Tom Sadler, Data Science and AI Solutions Lead, HP

In Episode 27 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Tom Sadler, Data Science and AI Business Solution Lead at HP, where they discuss why most AI and data strategies stall not because of the technology, but because different teams and divisions inside the same organisation simply don't talk to each other.

They also explore why the best AI use cases are often built by accident, by employees solving their own problems rather than having a solution handed down from the top; how HP's compact AI workstations are bringing serious compute to the edge; and why data sovereignty and energy consumption are becoming unavoidable parts of every technology decision.

They also discuss:

Why most organisations buy technology before they understand the problem they're trying to solve.How workflow, governance and people should shape technology decisions, not the other way round.Why organisational silos lead divisions to pursue contradictory AI strategies without realising it.What "people, process, data, governance, technology" means as a decision-making order.Why the best AI solutions are often built by accident by employees solving their own problems.How HP's compact AI workstations bring trillion-parameter-scale compute to the edge.Why starting small and scaling out beats one large, upfront AI investment.How sandboxed, local compute lets teams experiment safely without runaway cloud costs.What the US Cloud Act and data sovereignty mean for where organisations choose to host their data.Why defence and government customers require fully offline, lockdown-capable AI environments.Why token pricing is more expensive in practice than headline prices suggest.How copilots and AI assistants need explicit rules and training to be genuinely useful.Why AI leadership is often fragmented across too many overlapping roles in large organisations.What it takes to give employees the freedom to experiment without losing control of security.Why storytelling and simplification matter when explaining AI to non-technical stakeholders.How rising AI energy and water use is becoming an unavoidable business consideration.Why prompt engineering training could meaningfully reduce unnecessary cloud AI usage.

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