Algorithm to lab, explore Generative AI’s impact in life sciences has been saved
Analysis
Algorithm to lab, explore Generative AI’s impact in life sciences
Insights to drive value and a competitive advantage
From accelerating clinical development to optimizing quality management, Generative Artificial Intelligence (GenAI) is beginning to revolutionize the life sciences industry. To take advantage of this transformative technology, organizations need the right approach. That’s where Deloitte can help.
Shape the future of life sciences with GenAI
Deloitte IndustryAdvantage™ gives your life sciences company access to our full breadth of thinking, experience, and technology from across Deloitte, including our suite of industry-specific GenAI-enabled accelerators. Our innovative approach can help you manage AI-related risks, foster innovation, enhance processes, deliver valuable insights, and drive competitive advantage. Explore how you can harness the potential of GenAI for life sciences with our blog collection.
Transforming Medical Writing with GenAI: Placing a 'no regret bet'
Curious how GenAI can transform medical writing and potentially save billions in R&D? Discover the power of AI in automating clinical summaries, enhancing efficiency, and assisting regulatory compliance. Dive into our case study on Clinical Study Reports and see how AI agents could streamline the authoring process. Ready to transform your workflow? Read more to find out.
Realizing transformative value from AI and Generative AI in life sciences
Life sciences companies have an opportunity to unlock $5 billion to $7 billion in value from the use of artificial intelligence. We estimate that nearly 90% of value will be derived from three functional areas: research and development, manufacturing and supply chain, and commercial. Over the past 18 months, GenAI has broadened the breadth of value that AI could deliver.
Can life sciences companies unlock the full value of GenAI?
Discover how Generative AI is transforming life sciences organizations. From automating back-office functions to reimagining supply chains, GenAI is being adopted across various use cases. However, a “string of pearls” strategy, connecting multiple use cases, could revolutionize entire processes, streamlining operations and improving efficiencies. Embracing GenAI could be the key to gaining a competitive edge in the life sciences sector.
The creative power of Generative AI to amplify marketing excellence
Generative AI holds immense potential in disrupting marketing teams across the life sciences. It’s poised to help enable hyper-personalized content at scale and precise measurement of sales effectiveness. To harness its power, marketing leaders should anchor investments in key business issues, manage risks through low-risk use cases, focus on differentiation, and integrate GenAI with other technologies for long-term success.
Generative AI to accelerate clinical development
The advent of Generative AI has the potential to slow growing costs and transform the landscape of clinical development. It will do this by accelerating tasks across the clinical life cycle, bringing a greater share of services back within the four walls of biopharma companies, improving experience for talent and patients alike, and ultimately contributing to more efficacious therapies. Learn about some of the potential outcomes enabled by GenAI that are bringing value across the clinical development life cycle.
Generative AI to transform application development and testing
What does the Generative AI-enabled future of application development and testing look like? Coding will be democratized, and business context—rather than technical barriers—will be the bottleneck to delivery. Testing new products, features, and designs will be faster, cheaper, and easier, making creativity a better long-term predictor of success. Discover six actions your life sciences company can take in meeting the GenAI moment.
Generative AI and the future of quality management
How might Generative AI affect the future of quality management in manufacturing? In broad strokes, quality management will likely be characterized by real-time data analysis, predictive analytics, and automation. And where quality management has been historically reactive, GenAI—alongside traditional AI techniques—will emphasize proactive interventions. However, it’s important to consider these factors as your life sciences organization begins its Generative AI journey.
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