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 (AI) is beginning to revolutionize the life sciences industry. The next steps businesses take with the technology will be pivotal. Our collection of blogs can be a guidepost in helping strategically adopt generative AI capabilities to amplify value and advance better health outcomes.
Reach new frontiers in life sciences innovation with generative AI
To thrive amid the emergence of new processes, business models and consumer-driven care demand that life sciences organizations keep current with the latest technology insights. Start your company on the path toward growth with help from our collection of blogs.
Realizing Transformative Value from AI & Generative AI in Life Sciences
Life Sciences companies have an opportunity to unlock $5-7 billion (Bn) dollars in value from the use of artificial intelligence (AI). We estimate that nearly 90% of value will be derived from three functional areas: research and development (R&D), manufacturing and supply chain, and commercial. Over the past 18 months, Generative AI (GenAI) has broadened the breadth of value that AI could deliver.
Can life sciences companies unlock the full value of GenAI?
Discover how generative artificial intelligence is transforming life sciences organizations. From automating back-office functions to reimagining supply chains, Generative AI 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 Generative AI 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 generative AI 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 generative AI 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 generative AI moment.
Generative AI and the future of quality management
How might generative AI impact 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, generative AI—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.
Get in touch
Have any questions about how you can better harness the potential of generative AI in life sciences? If you’d like to talk more about what you’ve read or how your organization can scale up adoption, let’s set up a conversation.
Recommendations
Can life sciences companies unlock the full value of GenAI?
GenAI is an inevitability in Life Science: Four areas where we expect to see leapfrog domain plays.
Life sciences artificial intelligence solutions in the Age of With
AI and big data services, solutions, and capabilities for the pharma industry
