C5i Leverages GenAI-Based Solutions in the Life Sciences Industry
Several decision processes stand to be impacted by the power of generative AI in the life sciences field. GenAI-based solutions can aid in numerous tasks, including analysing vast amounts of structured data to deliver meaningful insights and enhancing the ability to digest and search diverse unstructured data to improve several decision-making workflows. Here are the top areas where C5i is driving the empowerment of our customers through GenAI-based solutions. AI-Powered MLR Review for Content Creation Promotional materials created for healthcare professionals (HCP) and patients are complex and require a significant amount of vetting and review. GenAI can help automate the review of essential documents, summarising key issues. This frees up professionals working in the medical, legal and regulatory fields to focus on higher-level tasks. Optimised Sales Force Enablement Actionable insights for sales reps can be enhanced using GenAI to craft impactful presentations. This is done through analysing diverse data sources with customised insights, visualisations and analyses to enable optimal conversation paths based on HCP profiles and past interactions, maximising efficiency and message relevance. Holistic Brand Performance Analysis A pharmaceutical brand’s performance depends on a multi-dimensional view cutting across customer engagement, market access enablement, patient support, competition analysis and more. These insights are available in structured data, both internal and syndicated, and unstructured data, including internal and market research data. Brands can be enabled with a comprehensive view of performance with prioritised and consumer insights being pushed to the brand managers. Patient Engagement GenAI empowers patient engagement by personalising interactions and interventions. Advanced algorithms analyse patient data, generating tailored recommendations and support strategies. This approach enhances communication between patients and healthcare providers, promoting adherence to treatment plans and preventive care. Ethical considerations are crucial when adopting GenAI, where ensuring integrity, trust, and fairness in data-driven decision-making is a priority. By adhering to ethical guidelines, the industry can foster responsible innovation, ensuring that generative AI solutions contribute positively to healthcare delivery and patient outcomes. About C5i (Course5 Intelligence Limited) C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making. C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.
GenAI serves as an excellent tool in effectively aiding companies, but to do so in the field of life sciences requires key ethical considerations.
GenAI serves as an excellent tool in effectively aiding companies, but to do so in the field of life sciences requires key ethical considerations.
["GenAI", "Generative AI"]
["Go", "GenAI", "AI", "data-driven", "ML", "innovation", "analytics", "generative AI", "Rust", "Generative AI", "R"]
["AI", "ML", "analytics", "generative AI", "GenAI", "R", "Go", "Rust", "data-driven", "innovation"]
Kamal Kasi is a Senior Client Partner in the Life Sciences Data &amp; Analytics practice. Over the last 19 years, he has advised global Life Sciences organizations on driving higher returns from data and analytics investments by formulating their analytics roadmap and initiating and scaling AI capabilities across their enterprise. For several of these Biopharma majors, he has set up advanced analytics delivery centres supporting R&amp;D Operations, Clinical Development Operations, Sales Operations, Marketing and Digital Strategy, and Operations functions. He brings deep domain knowledge along with a deep appreciation of AI to drive innovation for clients in the Life Sciences industry. He holds a Bachelor’s of Computer Science Engineering and an MBA in Marketing and Operations from IIM, Lucknow.