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Predicting From the Edge in an IoT World (Part 1)

Predicting From the Edge in an IoT World 

Organizations that can unlock and act upon the insights embedded in those mountains of unused data will realize dramatic business benefits. They can take actions and make decisions in real time that reduce costs, minimize risk, increase revenue, differentiate their product and services, and accelerate innovation.

James Taylor of Decision Management Systems Looks at Predixion Insight

Their focus is on making it easier for business users to benefit from predictive analytics. Ease of use and deployment at the front line of an organization – at the point of decision – is a central focus and Predixion positions itself between tools designed for data scientists and black box analytic applications for business users, aiming to deliver the best of both worlds.

An Opportunity to Intervene…by Nish Hartman, Healthcare Director, Predixion Software

Imagine a standard of care where before the patient leaves the hospital, the institution already knows not just the patient’s critical data, but has also taken actions in response to the data that further reduce the risk of readmission within the next thirty days. The potential impact goes beyond delivering a more advanced quality of care. For institutions facing the radical industry shift to patient-based outcome models, predictive analytics presents an opportunity to make significant strides to decrease patient re-admission rates — and gain a stronger foothold in meeting compliance mandates the industry faces as a result of the Affordable Care Act. 

Think Like an Industrialist

Tom Blomfield was named one of the Top 5 Entrepreneurs Under 30 in Europe; in addition to developing for the Ruby programming language and co-founding GoCardless, he recently wrote a column for TechCrunch about “x-as-a-service” startups. He notes that tech startups are taking advantage of “more specialized and niche services” to get themselves off the ground faster and easier than ever before; he then compares the trend to the brick-and-mortar world, where it is significantly harder to access outsourced services without size to back you up. Here is his take on these differences:

Dell acquires StatSoft and the list of predictive platform vendors gets even shorter… by Simon Arkell, CEO, Predixion Software

Yesterday it was announced that Dell acquired StatSoft, a 30+ year old business analytics software provider. Yes, you read that correctly. 30+ years old. That means that this innovative analytics company existed before the Internet, before mobile, before SaaS, before big data…

So, why would Dell acquire an old analytics company? It’s no secret that big data and advanced analytics is the hot market to be in right now. Clearly one motive for a hardware-laden company like Dell is to continue to buy recurring revenue streams and nice margins, both of which they get from StatSoft. However, there is more going on here just below the surface. StatSoft, though old and not entirely innovative, has what very few companies in the market today have: a predictive platform. And, software vendors with an actual platform for building and deploying predictive analytics are a rare breed indeed.

Big Data, Big Hairy Problems – Bring ‘Em On! by Simon Arkell, CEO, Predixion Software

A couple of weeks ago I was honored to participate in the Accenture “Journey to Analytics ROI” panel in San Francisco. To say that I was enamored with the location, organization and quality of attendees is an understatement. You see we have been working with Accenture for much of the last 12 months and, most recently, in addition to inviting Predixion Software to be a global alliance partner, Accenture led our most recent round of funding as a company alongside GE. 

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