Article | Healthcare

Pioneering the future of life sciences with AI

Artificial intelligence (AI) is transforming the future of drug discovery. Accelerated computing with AI has launched an entirely new paradigm that is streamlining the investigation, assessment, and creation of new drugs and therapies. These capabilities can be applied to evidence-based treatments, disease prediction, and prevention, bringing tailored therapies into widespread use. However, the exponential growth of life sciences data has put pressure on organizations to evolve. By 2025, data volumes are expected to reach 200 zettabytes. Although this data holds the potential to enable the next scientific breakthrough, issues including computational bottlenecks, limited access to mission-critical information, and poor predictive validity are major roadblocks on the path to discovery.

HC - Solution Overview - Pioneering the future of life sciences with AI

Preview article

More articles

  • Article | Manufacturing

    Possibilities at the Edge

    The major technology trend of the past decade has been mass migration to the cloud.

  • Article | Healthcare

    AI-Enabled Breakthrough Genomics

    Next-generation sequencing (NGS) technologies have revolutionized the field of genomics and fueled the growth of biotechnology, healthcare, pharmaceutical, and life sciences organizations worldwide.

  • Article

    4-Step Action Plan To Equip Data Scientists For The Hybrid World

    No matter where data teams are working from, they require high-performance computing power. But the quick fixes that IT relied on in the early days of hybrid work—like VDI and VPNs—just aren’t robust enough to meet these users’ compute-intensive needs.