Insights

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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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Rethinking Data Governance as a Business-Led Discipline

In this article, we outline why effective data governance starts with ownership, not tools - and how organizations can build the structures that make data trustworthy and scalable.

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Data Governance
Rethinking Data Governance as a Business-Led Discipline
Rethinking Data Governance as a Business-Led Discipline
AI Transformation
The New Era of Life Sciences Will Be Won on Forecasting Excellence

In this article, we explore why the blockbuster era is giving way to a more fragmented, competitive landscape - and how machine learning is changing the way life science companies predict erosion, time investments, and launch with precision.

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Drivers-Based ML forecasting
The New Era of Life Sciences Will Be Won on Forecasting Excellence
The New Era of Life Sciences  Will Be Won on Forecasting Excellence
Forecasting & Scenario Planning
Global to Local Content Excellence

In this article we give our point of view on how healthcare organizations can design a scalable content engine with local flexibility for impactful customer engagement - and how to succeed where other organizations typically fail.

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Content Excellence
Global to Local Content Excellence
Global to Local Content Excellence
Customer Engagement & Experience
Personalization at Scale
The Build vs Buy Dillemma: Balancing correctness and differentiation in enterprise AI

In this perspective on Build vs Buy in AI, we share how to move beyond a buy-only mindset by designing AI around your processes and competitive edge. We explore why off-the-shelf works well in domains where correctness and compliance matter most, why you need more ownership in use cases that drive differentiation, and how a hybrid approach - buying the base and building the system around it - keeps operations stable while still enabling you to stand out.

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AI STRATEGY
The Build vs Buy Dillemma: Balancing correctness and differentiation in enterprise AI
The Build vs Buy Dillemma
AI Transformation