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Unisys Survey Finds Airports’ Investment in Analytics Technology Set to Soar as Digital Transformation Needs Take Flight

New research from Unisys Corporation (NYSE: UIS) reveals that airports expect to fully embrace more advanced analytics solutions in the coming years, with potential applications for use across several key areas within the airport ecosystem. Unisys conducted the survey of 29 airport executives and industry professionals at the Airports Council International – North America Annual Conference and General Assembly held in Montreal, September 25-28, 2016.

How Big Data Is Being Used to Fight Infectious Disease Threats

In this contributed article, technology writer and blogger Kayla Matthews discusses how big data can be used to fight infectious disease threats.

MedyMatch Reveals Artificial Intelligence Deep Vision Intracranial Bleed Detection Technology

MedyMatch Technology Ltd., (“MedyMatch”) the deep learning and artificial intelligence company, announced that after several years of extensive research and development, it has achieved a major milestone in the availability, for research, of an artificial intelligence based technology that can help detect the presence of intracranial hemorrhage or brain bleed which can occur in cases of brain trauma and stroke. Subtle bleeds are difficult to detect and if misinterpreted or missed by a physician can lead to serious patient injury and even death.

Emerging Technologies Like Advanced Analytics, Machine Learning and IoT Help Revolutionize Public Sector Agencies

Advanced analytics and other emerging technologies are revolutionizing the way governments and public service agencies are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organizational cultures, according to a new research report from Accenture.

Interview: Roei Ganzarski, President and CEO of BoldIQ

I recently caught up with Roei Ganzarski, President and CEO of BoldIQ, to talk about the “smart cities” revolution taking place that’s powered by IoT technology.

How Data Science Can Save the Traditional Banking Industry

In today’s technologically advancing world, traditional banking groups are being seriously challenged. As Google, Amazon, Facebook, Apple offer more and more banking services and financial technology startups gain traction, the banking industry must take a look at how it can stay competitive. To do this, banking needs to rely on data science.

New Blue Yonder Solution Helps Grocers Optimize Replenishment for Fresh Assortments

Set against a backdrop of declining profitability and significant changes in consumer lifestyles, retailers are under pressure to deliver the best freshness and optimal availability to their customers without the ability manage cost to serve. Typically, 40 percent of grocery revenue is driven by fresh, according to the latest McKinsey report: get this right and the rest will follow, including the customer and profits. Grocery has traditionally struggled to deliver the right customer experience in fresh without forsaking margin.

The Math Behind Basketball’s Wildest Moves

If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.

It’s Time to Redesign Medical Data

In the TEDMED talk below, Thomas Goetz looks at medical data, making a bold call to redesign it and get more insight from it. Your medical chart: it’s hard to access, impossible to read — and full of information that could make you healthier if you just knew how to use it.

Big Data and Healthcare

In this contributed article, Jaspinder Grewal, current CEO of CareSkore, discussed why it’s becoming more difficult for doctors to focus solely on their patients. While the rise of the health IT landscape was meant to automate certain tasks, the reality is it’s taking up more and more of a doctor’s time.