BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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Modern manufacturing's triple play: Digital twins, analytics, IoTUsing exact duplicates to manage complex systems dates to NASA’s early moon missions. Today, IoT is key to implementing digital twin technology in manufacturing.
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Game-changing technologies turn IIoT data into goldThe real value of IoT lies in its data. Maciej Kranz says technologies like edge and fog computing, machine learning and AI can unlock the hidden value in data from the IIoT.
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Big data in government: How data and analytics power public programsBig data generated by government and private sources coupled with analytics has become a crucial component for a lot of public-sector work. Why? Because using analytics can improve outcomes of public programs.
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Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
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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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Machine learning, data science and AI meet IoTIn this video, Kirk Borne and Michele Null discuss the intersection of machine learning, AI and data science with IoT data and analytics.
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The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
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3 data analytics lessons SMEs can learn from top casinosHow can SMEs in Australia and NZ use big data analytics? First, by learning from major companies already successful in the space, such as casinos.
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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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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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5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate this technique into your analytics strategy.
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Big data: The gold mine of investigative policingFind out what's needed to capitalize on big data for a significant impact your investigators' work and outcomes.
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IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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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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Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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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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Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
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Broken promises? Avoid IoT traps with an analytics platformHow can you realize the promise of the Internet of Thing? By using an analytics platform to sense, understand and act on streaming data.
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Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
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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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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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The future of embedded analyticsYou can find embedded analytics in fraud detection systems, cybersecurity solutions and many other areas. Learn how the use of embedded analytics is evolving.
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Chief data officer role shakes up traditional data governanceDoes every organization need someone in the chief data officer role to manage data governance?
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Why you need asset performance analyticsPredictive maintenance is not new, but its use is surging in asset-intensive industries. Find out what’s driving the renewed interest.
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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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Getting the right people on the big data busLaunching a big data initiative requires rethinking not only data and systems, but people. And it's about time, says Jill Dyché.
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8 ways an enterprise data strategy enables big data analyticsAnalyzing big data can reveal new insights and strengthen business decisions. Here's why you need an enterprise data strategy to help you get there.
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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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Big data management: 5 things you need to knowBig data management demands new tools and processes. Learn about 5 things that can help you manage big data better and get consistent analytic results.
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3 Internet of Things examples from 3 industriesRead detailed Internet of Things examples from a manufacturer, a government agency, and an oil and gas company. You’ll learn how much data is being streamed and find out the documented ROI for each application.
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Clear-cut big data strategy tied to strong financial performanceWondering how important your big data strategy is? Find out from this 2015 report that’s based on a survey of more than 500 global executives.
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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