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Analytics Magazine

Tag "big data"

Viewpoint: Healthier use of healthcare data

Back in the days before the data deluge, there were clear and distinct roles regarding IT and Finance in the healthcare industry. When patient and payer medical information was captured on multipage paper documents attached to a clipboard, it was easy to manage the data, however ineffectively. But those days are long gone. Healthcare organizations now need to take a serious look at the potential business value of developing a strategic partnership with IT in order to create analytic solutions that deliver quantifiable results.

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Hungry for data, thirsty for time

Organizations of all sizes and types are awash in data possibilities, yet most of them cannot capitalize on the potential for a variety of reasons. The good news, however, is that with the right decisions and focus, these possibilities can turn quickly into realized opportunities.

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Disarming ‘Weapons of Math Destruction’

    Disarming ‘Weapons of Math Destruction’

Cathy O’Neil, an industry insider and experienced expert, thoroughly covers the sociological downside of data science in her New York Times bestseller and first-of-its kind book, “Weapons of Math Destruction.” In the world of big data, there’s a lot of music to be faced. With all its upside, data science’s deployment risks being prejudicial, predatory, exploitative, buggy, blindly trusted and secretive. And it has the potential to magnify the consumer’s personal economic struggle rather than remedy it.

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Executive Edge: Graph databases, journalists & the Panama Papers

The Panama Papers, the unprecedented leak of 11.5 million files from the database of the global law firm Mossack Fonseca, opened up the offshore tax accounts of the rich, famous and powerful – laying bare how they have exploited secretive offshore tax regimes for decades.

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Analyze This!: Victimized by WMD

My family and I are spending the second half of my sabbatical in Madrid. We arrived in Spain a couple of weeks ago, and the day we arrived I tried to log in to my bank’s online site to pay my credit card bill.

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Data Lakes: The biggest big data challenges

    Data Lakes: The biggest big data challenges

Many organizations have noticed that the data they own and how they use it can make them different than others to innovate, to compete better and to stay in business. That’s why organizations try to collect and process as much data as possible, transform it into meaningful information with data-driven discoveries, and deliver it to the user in the right format for smarter decision-making. With the right analytics, data can be turned into actionable intelligence that can be used to help make businesses maximize revenue, improve operations and mitigate risks.

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Analytical Journey: Navigating the big data analytics SaaS terrain

    Analytical Journey: Navigating the big data analytics SaaS terrain

With the continued hype from so many big data companies, it is hard to understand the best way to start down the big data analytics path. After all, the reason we use big data software tools is to improve our data analytics, not to see if we can get the latest and greatest big data tool to work. We have seen too many “square-peg” solutions pounded into “round-hole” problems.

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Big Data & Analytics: Fulfilling the promise of analytics

    Big Data  & Analytics: Fulfilling the promise of analytics

While data and analytics have been part of business for a long time, it’s only in recent years that the value they provide has captured the attention of senior executives and managers. That is because there has been an explosion of systems and devices that generate data coupled with greatly reduced costs to collect, store and analyze that data. The result: big data.

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Big Data Analytics: Cloud-supported machine learning services

    Big Data Analytics: Cloud-supported machine learning services

Big data analytics and cloud computing are two of the most prominent technologies of high interest to business organizations and researchers across the globe today. Harnessing its potential has become the key to competitive advantage for data-driven businesses. This phenomenon, characterized by the “3Vs” (volume, velocity and variety), produces information far beyond the processing capability of conventional tools. Building powerful computational infrastructure to warehouse and make sense of all the data requires large investments and poses practical limitations. Cloud computing offers an attractive alternative.

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Dealing with Big Data: The ascendency of data lakes

    Dealing with Big Data: The ascendency of data lakes

January/February 2016 The premise, the promise, the potential of new method for managing big data. By Sean Martin The data

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Headlines

Using machine learning and optimization to improve refugee integration

Andrew C. Trapp, a professor at the Foisie Business School at Worcester Polytechnic Institute (WPI), received a $320,000 National Science Foundation (NSF) grant to develop a computational tool to help humanitarian aid organizations significantly improve refugees’ chances of successfully resettling and integrating into a new country. Built upon ongoing work with an international team of computer scientists and economists, the tool integrates machine learning and optimization algorithms, along with complex computation of data, to match refugees to communities where they will find appropriate resources, including employment opportunities. Read more →

Gartner releases Healthcare Supply Chain Top 25 rankings

Gartner, Inc. has released its 10th annual Healthcare Supply Chain Top 25 ranking. The rankings recognize organizations across the healthcare value chain that demonstrate leadership in improving human life at sustainable costs. “Healthcare supply chains today face a multitude of challenges: increasing cost pressures and patient expectations, as well as the need to keep up with rapid technology advancement, to name just a few,” says Stephen Meyer, senior director at Gartner. Read more →

Meet CIMON, the first AI-powered astronaut assistant

CIMON, the world’s first artificial intelligence-enabled astronaut assistant, made its debut aboard the International Space Station. The ISS’s newest crew member, developed and built in Germany, was called into action on Nov. 15 with the command, “Wake up, CIMON!,” by German ESA astronaut Alexander Gerst, who has been living and working on the ISS since June 8. Read more →

UPCOMING ANALYTICS EVENTS

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INFORMS Computing Society Conference
Jan. 6-8, 2019; Knoxville, Tenn.

INFORMS Conference on Business Analytics & Operations Research
April 14-16, 2019; Austin, Texas

INFORMS International Conference
June 9-12, 2019; Cancun, Mexico

INFORMS Marketing Science Conference
June 20-22; Rome, Italy

INFORMS Applied Probability Conference
July 2-4, 2019; Brisbane, Australia

INFORMS Healthcare Conference
July 27-29, 2019; Boston, Mass.

2019 INFORMS Annual Meeting
Oct. 20-23, 2019; Seattle, Wash.

Winter Simulation Conference
Dec. 8-11, 2019: National Harbor, Md.

OTHER EVENTS

Advancing the Analytics-Driven Organization
Jan. 28–31, 2019, 1 p.m.– 5 p.m. (live online)

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