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Technology

To stay competitive in a rapidly evolving market, life sciences organizations must embrace intelligent technology to address inefficiencies, reduce costs, and unlock data potential

Why intelligent technology matter

78%

of future growth in life sciences will rely on intelligent technology partnered with scientific innovation which requires advanced capabilities in development and commercialization

67%

of work hours in the sector can be transformed using large language models and AI, improving productivity and innovation through technology convergence

50%

of legacy in-house tech applications have moved to the cloud, and 50% of on-premises customized packaged applications are projected to modernize to standardized versions by 2026

How Technology is changing

Managed services for applications are being disrupted by Cloud, Gen AI, and modern tech stacks. Reallocate IT budget to self-fund continuous reinvention and scale technology.

What you can do

Break down data silos by integrating disparate data sources and ensuring data is accessible across departments to improve collaboration and decision-making.

Leverage AI for data insights, speeding up research, clinical trials, and drug development.

Use Generative AI to create new drug formulations, optimize clinical trial designs, and generate personalized marketing content for faster go-to-market strategies.

Implement digital tools for more efficient research and development, improving collaboration across teams and reducing the time-to-market for new drugs.

Integrate AI and advanced analytics to optimize drug discovery and clinical trials.

Transition to composable platforms to reduce technical debt, improve flexibility, and enable quicker adaptation to market changes.

Prioritize cloud solutions to improve agility, lower costs, and facilitate rapid scaling, enabling businesses to meet evolving market demands more efficiently.

Use AI and IoT (Internet of Things) technologies to monitor and optimize supply chains, reduce disruptions, and improve forecasting accuracy.

Implement AI-driven CRM and marketing automation systems to enhance customer engagement, personalize experiences, and increase operational efficiency in sales and marketing.

Utilize managed services to offload non-core IT functions, reduce operational costs, and focus resources on innovation and growth.

Our leader

Shishir Lohmror

Managing Director – Global Life Sciences Technology Lead