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Explore perspectives that challenge the usual, connect the dots, and bring fresh thinking to complex problems within AI, data and health.

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How to succeed with AI Innovation​

We all see it and feel it every day – achieving value from AI investments is no easy task​. In this article, we unpack the three building blocks moving from AI discovery to AI value​.

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Inspiration to how you continously achieve value from your AI investments​
How to succeed with AI Innovation​
Inspiration for how you continuously achieve value from your AI investments​
AI Transformation
How Consumer Wearables Will Impact Diabetes Management

Dexcom's stake in Oura and Abbott's investment in Whoop signal that glucose and activity data are converging. One of our consultants, who lives with type 1 diabetes, unpacks why this matters – and the three challenges (data, regulation, and reimbursement) that stand between this convergence and real impact for patients.

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Glucose data and activity data are converging
How Consumer Wearables Will Impact Diabetes Management
Wearable Health Data
Customer Engagement & Experience
Customer & Market Understanding
From Market Signal to Portfolio Decision

In this article, we map out the system behind a live opportunity assessment engine, and how it learns which signals matter to a decision and which are just noise.

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Early Pipeline Opportunity Assessment
From Market Signal to Portfolio Decision
The application behind a live market opportunity assessment engine
Market & Competitive Intelligence
Why Data & AI Portfolios Stall in Regulated Environments

A portfolio governance model for regulated environments: intake funnel, decision rights, benefit ownership, and the move into business-as-usual

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Portfolio Governance
Why Data & AI Portfolios Stall in Regulated Environments
Four failure patterns, and how to design them out
AI Transformation
Portfolio Governance