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Healthcare IT is hard – even with AI & machine learning – but we should pursue it

Healthcare IT is hard. I bring this up as the drumbeat of negative press about IBM Watson has been getting louder recently, especially around healthcare. And now comes this comprehensive report from STAT News - a well-respected source in the health sector - on IBM's efforts with Watson for Oncology. The report outlines the struggles clinicians have

By | 2018-02-08T12:38:51+00:00 September 22nd, 2017|Categories: Analytics, Big data, Healthcare IT, Machine learning|Tags: , , , , , |0 Comments

The paradox of enterprise search

We live in a world in which business decisions are increasingly driven by data. And that data isn't just the structured variety stored in a relational database and accessed via BI tools. The majority of data is unstructured and can be hard to find. This is where enterprise search comes in. The market for enterprise

What does bringing eDiscovery in-house look like today?

Once enterprises had caught their breath following the big bang of the 2006 US federal rules changes that ostensibly created the eDiscovery market, they've been looking at ways of bringing the eDiscovery process in-house and thus hopefully reducing their costs and gaining more control. When I was an analyst at 451 Research our 2010 annual eDiscovery report

Data-rich insurers about to get richer. Can they handle it?

Insurers are already awash with data, but they're about to get a whole lot more. That makes their current under-investment in technology to analyse data all the more troubling. A recent report, surveying more than 300 insurers around the world identified insurers as ripe for disruption, unless they invest in new technology to better analyse data.

Healthcare ripe for information innovation

The business case for better information management in healthcare is clear cut. This applies especially in markets where healthcare providers aren't competing for patients, as they do in the US. So sharing information should be the norm. But it isn't. Why? There are numerous reasons, but it's due in part to slow adoption of technology