Nordic Life Science 1
COGNIZANT ADVERTORIAL “A well-crafted data strate
gy will enable this seamlessly, ensuring data from your systems are easily accessible and usable. In AI solutions, the foundation for generating accurate and dependable information and insights lies in the availability of high-quality and reliable source data, instilling a high level of confidence in their accuracy and authenticity.” Value of quality data and expert interpretation for AI purposes Cognizant is working on a use case where gen AI forms part of a solution to proTRADITIONAL AND GENERATIVE AI: An insight into the new normal for pharma firms AI IS TRANSFORMING the way medicines are made. Expert knowledge and good data analysis remain vital to the life sciences equation, however. AI isn’t a replacement for life sciences knowledge. When David Staunton, Head of Transformation, Life Sciences Manufacturing at Cognizant, is asked if AI will transform the way that the life sciences industry will operate, his answer is: “It’s already doing it.” Every area of the pharma industry is feeling AI’s effects. Ultimately, that’s great news for patients who continue to benefit from new and more personalised treatments. Data-driven approaches to drug development David is, however, keen to flag up how ‘traditional’ AI (which recognises patterns in data) and ‘generative’ AI (which generates new content based on data) are used. “There’s no doubt that gen AI can be helpful to pharma companies,” he says. “However, the technology is not quite there yet. For example, it can’t make GMP (good manufacturing practice) decisions, and it’s not writing GMP reports without human-approved validation.” Going forward, pharma companies will use AI to accelerate the development, manufacture and marketing of their products, says Jacqueline Hora, Digital and Data Analytics Consultant at Cognizant. Developing a cohesive data strategy — which AI solutions consume — to generate insights is key. Well-crafted data strategy can help manufacturers “Contextualising your data is critical to understanding past performance and using historical data to predict future outcomes,” she says. “Contextualising data starts when equipment and process systems are configured, and it typically involves combining details from multiple sources to build a comprehensive picture of events.” vide advisory support to new technicians. Key to the success of this solution is the capture of previous experience of manufacturing operators to use as a knowledge base. AI isn’t a replacement for life sciences knowledge, says David. Instead, expert data analysis is crucial. “You’ll have to be able to read and interpret the data AI gives you in order to understand if it’s sound or not; this will become a key people skill,” he says. AUTHORS David Staunton, Head of Transformation and Jaqueline Hora, Digital and Data Analytics Consultant from Life Sciences Manufacturing, Cognizant NORDIC CONTACT Lone Harboe, Life Science Consultant, LONE.HARBOE@ COGNIZANT.COM For more information on how Cognizant can help life sciences manufacturing companies on their digital transformation journey, visit: WWW.COGNIZANT.COM/ PHARMAMANUFACTURING