BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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How do free-to-play video games earn big profits?How does the industry leader of free-to-play, massively multiplayer online games scale its customer intelligence and analytics efforts to thousands of models and terabytes of data a day? With industrialized modeling from SAS.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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Can data sharing help cure cancer?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
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Connected consumers, IoT and what retailers need to do nowThe IoT is impacting retail, with more to come. Experts from Cisco, Intel and SAS discuss what's happening now, and what retailers need to do next.
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See IoT industry examples in actionHow can analytics unlock the limitless possibilities in the Internet of Things?
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An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
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Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
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A brave new world of analyticsMike Frost from SAS explains how a modern analytics platform can help make sense of the new, complex data reality.
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Your personal data scientistImagine pushing a button on your desk and asking for the latest sales forecasts the same way you might ask Siri for the weather forecast. Find out what else is possible with a combination of natural language processing and machine learning.
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The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
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Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
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Big data in health careThere's enormous potential for big data in health care: Individualized medical treatment, improved processes, reduced waste and so much more. See how three health care organizations are leading the way.
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7 steps for executing a successful data science strategyGet tips from TDWI for making your foray into data science a success.
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Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
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Meet the data scientist: Manuel David GarciaWhile he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
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How to get the most value from your data scientistsHiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
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Hadoop is the new boardroom buzzwordIn this Q&A, two Hadoop experts share what every executive needs to know.
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Making sense of streaming data in the Internet of ThingsThe Internet of Things is moving from buzzword to reality. This article uncovers how the topic is causing a shift in the analytics world.
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The era of gargantuan dataAt The Big Show in New York City, we heard from eBay, Chico's and Brooks Brothers about their use of big data for customer loyalty.
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Can sensing cities become thinking and responsive cities?In the vision of the sensing city, sensors will gather data to monitor everything from noise levels to water use, in real time and at a very granular level. Can the resulting data be analyzed to improve the lives of citizens?
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Three tips for innovating with big dataLearn what you need to move past the pilot phase with your big data projects and actually achieve wide scale results with big data.
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Big data possibilities for insurersInsurers have always spent time and money crunching numbers to better understand who to insure, at what cost and how much to reserve for losses. Big Data paired with analytics amps up the options for providing critical market advantages. Let’s look at a few areas in particular.
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Are you ready for your smart car?The Internet of Things will soon give rise to smart, connected cars and change personal transportation as we know it. Cisco's Andreas Mai previews what's coming, the stunning benefits, key challenges and next steps.
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Twelve questions to ask your data visualization software vendorIdentify which data visualization vendor’s applications, support models, deployment options and technology platforms align with the goals of your project.
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I see big data. All the time. It’s everywhere.Big data is rapidly creeping into every element of our life. In this article, Tamara Dull from SAS Best Practices explores some big data examples - and how it will affect you.
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Is your data too big to visualize?Use these tips to find new ways to look at big data, so you can quickly collapse and condense the results in an intuitive fashion.
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A new arms race: Analytics for commodity market complianceRogue trading and dodgy deals are not the only things keeping chief risk officers awake. Today’s regulators now employ big data analytics to uncover troubles in the commodity swaps market. Staying ahead of innocent compliance errors – and quickly identifying the occasional bad actor from within – will require some tough analytics of your own.
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Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
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Modernize your approach to big dataModernization is not just about systems and technology. In fact, technology changes can seem easy when compared with cultural change. Learn how to evolve your mind sets and leverage your data sets to accelerate knowledge throughout the organization.
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Using Hadoop as an Analytics CatalystLearn how to get the most out of Hadoop by developing a sound strategy for analyzing data in this new storage environment.
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The big effects of big dataHow is big data affecting consumers? Is it making positive change in the public sector? What do younger generations think of big data? Find the answers in this interview with author and professor Bart Baesens.
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