BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
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IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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IT/OT convergence: The dilemma of the IoT perception gapThe IoT phenomenon demands intimate collaboration between information technology (IT) and operational technology (OT). But IT and OT have distinct gaps in perception about the goals and outcomes of IoT initiatives. Tom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
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IoT in healthcare: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened healthcare systems around the world – we can’t afford not to integrate IoT in healthcare.
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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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Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
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IoT challenges in the connected supply chainThe IoT Is set to revolutionize supply chain management, but there are certain challenges it must overcome first. Here’s what you need to know.
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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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5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
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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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5 IoT applications retailers are using today The Internet of Things can bring big benefits, but what is IoT and how are retailers taking advantage of it?
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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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Applying machine learning to IoT dataLet’s move beyond theoretical discussions about machine learning and the Internet of Things – and talk about practical business applications instead.
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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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How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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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.
Big Data: The Basics
What is big data?
For most organizations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organization on a daily basis – and if managed well, it can deliver powerful insights.
Imagine being able to analyze data to determine the root cause of failures. Or detect fraudulent behavior before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.
Big Data Analytics
As data floods your organization on a daily basis, the question is no longer "What is big data?" It’s "What can we do with the big data we have?" The answer, of course, is integral to the future of your business. With big data analytics, you can implement data mining, predictive analytics, text mining, forecasting and optimization to explore options and make the best possible business decisions.
Hadoop
Organizations with massive volumes of data are turning to Hadoop to extract value from all that information. But what is Hadoop, exactly – and how can it help your organization? Learn how Hadoop is evolving to meet the big data challenges of today and tomorrow. And how you can take advantage of data management, data visualization and analytics to get faster, more meaningful insights from your Hadoop environment.
Data Visualization
Some say seeing is believing. But when it comes to data visualization, seeing is understanding. When your data comes to life in charts and graphs, you start to see things you’ve never seen before. Trends. Truths. Solutions that give you an edge over the competition. And now that big data has become pervasive in most organizations, data visualization is key to putting it in perspective.
Internet of Things
Connecting our cars, homes, gadgets and machines to the Internet creates a network of connected objects called the Internet of Things. How can the data streaming to and from these objects be understood to benefit your organization, improve your daily routine or address society’s biggest challenges? Find out now.
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