To be competitive, healthcare firms will need to combine their vast amounts of data with artificial intelligence (AI) and machine learning (ML) — be it Google-developed AI/ML algorithms to identify cancerous tumors on mammograms or cloud-assisted medical collaboration leading to new drugs or treatments.
Healthcare has been around in some form or other for millennia, while artificial Intelligence (AI) has only a few decades of history behind it. Still, that’s long enough for Al to begin transforming this ancient industry, and its influence is only accelerating in the digital age.
Spending on medicine is growing rapidly, and so, too, are the pressures in the pharmaceutical industry to hold down costs, serve patients in new ways, and find actionable data in a sea of information.
Healthcare is full of uncertainties, but an optimized IT infrastructure based on an IOA strategy built on Platform Equinix can help industry organizations ensure that superior, secure, cost-effective connectivity isn’t one of them.
When it comes to characterizing the mass of information being produced and mined these days by members of the health innovation economy, the “big” in big data doesn’t seem big enough.