Healthcare and life sciences

In today’s rapidly evolving digital landscape, cloud transition is no longer a question of if but how well it is achieved. Despite the widespread shift to cloud-based ecosystems, many enterprises still lack a cohesive cloud strategy that balances cost efficiency, business agility, and risk management. This playbook offers guidance on ROI-driven migration planning, robust vendor and data governance, cost transparency through FinOps tools, and cloud-specific contract negotiation. It also highlights key risks in cloud adoption, from vendor lock-in to hidden costs. To unlock long-term value, enterprises need to shift from a cost-first mindset to a strategic and outcome-focused approach.

April, 2025

AI is transforming drug discovery by boosting early-stage clinical trial success rates to 80%–90%, compared to the traditional 40%–65%, and contributing to nearly half of preclinical drug development output. Leveraging big data and advanced deep learning models, AI accelerates target identification, molecular design, and clinical trial optimization, saving millions in costs and months in timelines. Notable breakthroughs include AI-designed antibodies and drug repositioning successes. This article explores how, despite challenges such as data quality and transparency, combining AI with ethical oversight and collaboration promises faster, more precise, and patient-focused pharmaceutical innovation.

July, 2025