Using AI Archetypes in Designing Digital Transformations in Life Sciences and Healthcare
Patterns in the intended uses of artificial intelligence (AI) increasingly reflect the many roles AI can serve in life sciences and healthcare solutions and workflows.
Eight Ways Life Sciences Leaders Can Kickstart Artificial Intelligence
Industry executives are feeling pressure to develop AI plans, and many roadmap techniques can help without creating big or risky plans.
Unlocking Data Governance for Strategic Growth
Though data governance is often a taboo topic among executives, thoughtful investments in data asset improvements can have a transformative impact on data trust and AI capabilities.
FDA IT Strategy in a World of AI
The US Food and Drug Administration’s updated IT strategy highlights the agency’s planned direction and investments while also demonstrating fundamental industry challenges ahead.
Managing Emerging AI Cybersecurity Risks
Though offering impressive capabilities, the rapid adoption of artificial intelligence capabilities within the life sciences and healthcare sectors also brings notable risks that must be managed.
Building Data-Driven Cultures Through Trust
Organizational aspirations and plans for becoming more “data driven” often do not reflect the basic reality that building a data-driven culture is a change management challenge rooted in trust.
How AI is Reinventing Medical Innovation
The health and life sciences industries are facing a paradigm shift where emerging technologies like artificial intelligence (AI) and genomic sciences are unlocking new ways to understand and treat medical conditions.
Building a Data-Driven Business Strategy
Life sciences and healthcare leaders today continue to face a conundrum: they want data-driven businesses, but they don’t trust their data or insights.