Futurist Speaker - The Digital Speaker (Page 39)

AI Readiness for Healthcare: The Patient Safety Imperative

Healthcare: governance is life-or-death. Clinical AI validation, patient data governance, regulatory compliance under TGA, FDA, EMA aren't optional. And workforce augmentation must be positioned as enhancement, never replacement.

AI Readiness for Banks and Financial Services

Financial services is regulation-hardened—strong on governance. But workforce enablement lags. Non-technical staff in relationship management and compliance aren't equipped for AI-assisted workflows.

The 4 Handoffs That Kill AI Strategy (and How to Fix Them)

AI strategies fail at transitions between capabilities. Scanning insights that never become experiments. Experiments that never survive governance. Governed tools that never reach prepared users. Identifying which handoff is broken is the fastest path to fixing it.

Why Your AI Pilots Never Make It to Production

Pilot purgatory: the team that builds experiments well doesn't know how to hand them to the team governing production. The experiment succeeds. The governance gate kills it. Understanding which handoff fails is the key.

The 90-Day AI Plan: How to Stop Debating and Start Moving

Stop debating. Start with 90 days: audit AI usage and establish governance baseline (Days 1-30). Launch two pilots with kill criteria (Days 31-60). Embed measurement and board reporting (Days 61-90).

How to Present AI Strategy to Your Board (Without Losing Them)

Board members asking about AI want three things: risk if we do nothing, risk if we act, how we're governing it. Structure around these three questions and bring data, not borrowed frameworks.

You Deployed AI Tools. Nobody Uses Them. Now What?

Deploying AI tools without changing culture is like installing a gym and wondering why nobody gets fitter. The gap between availability and usage is a culture problem, not a technology problem.

How to Run an AI Workshop That Isn't a Waste of Time

The workshop that changes behavior starts with data. Have every participant complete an assessment before the session. Build the conversation around actual scores. End with 90-day commitments, not vague action items.

Why Your Leadership Team Can't Agree on AI Strategy

CTO wants to experiment faster. General Counsel wants tighter governance. CHRO wants workforce preparation. They're prioritizing different capabilities without a shared framework. Name the conflict, and it resolves.

How to Write an AI Policy That People Actually Follow

Effective AI policies are co-created with practitioners, written in plain language, focused on practical scenarios, and enforced through workflow integration — not annual sign-offs.