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AI Implementation

The Biggest Challenges to Implementing AI in Life Sciences

Thought Leadership14 March 202585Views0Likes0Comments
The promise of Artificial Intelligence (AI) in life sciences is undeniable—offering advancements in drug discovery, clinical research, and evidence generation. Yet, many organizations still struggle to implement AI effectively. To better understand these challenges, CapeStart conducted a survey of 104 life science professionals, asking them:  What are the top three barriers to success for your…

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Unlocking Performance: How AI Goals Are Shaping Team Productivity

Thought Leadership22 January 2025288Views0Likes0Comments
Organizations are recognizing the promise of Artificial Intelligence (AI). It’s becoming an essential tool for improving team performance. In CapeStart’s Life Science AI Research Report, respondents shared their internal organizational goals for exploring AI, offering a glimpse into how life science organizations are leveraging the technology to optimize efficiency and drive innovation. Top AI Goals for…

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research

AI Strategy Readiness: Team Capabilities and Vendor Support Insights from CapeStart’s Life Science AI Research Report

Thought Leadership6 January 2025222Views0Likes0Comments
Artificial Intelligence (AI) holds immense promise, but its successful adoption depends on two critical factors: whether teams have the capability to implement AI strategies and whether they can access the right vendor support. CapeStart’s Life Science AI Research Report sheds light on these questions, offering a deeper understanding of how organizations are navigating these challenges. Team…

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Pharma Manufacturing

How AI is Reshaping Pharmaceutical Manufacturing

Thought Leadership30 September 202465Views0Likes0Comments
Artificial intelligence (AI) has significantly impacted the pharmaceutical business in several ways, from drug discovery and formulation to clinical trials and monitoring for adverse drug reactions. But AI can also help improve pharma manufacturing, distribution, and supply chain management by improving efficiency, safety, quality, and other processes. Here’s how AI can be used to improve…

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