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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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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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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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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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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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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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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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„Das IoT beginnt im Kopf“„Wir reden hier von Unternehmen, die sich ihren Marktstatus über Jahrzehnte durch exzellente operative Arbeit erworben haben. Ihnen jetzt klarzumachen, in Dateien ein wichtiges Kapital und Asset zu sehen, braucht seine Zeit“, Rolf Günthner, Head of Industrial Internet of Things bei der Swisscom.
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Was tun die Unternehmen derzeit in Sachen IoT?Intel und Cisco im Gespräch mit Lori Schafer, Executive Adviser for Retail and Consumer Packaged Goods bei SAS. Sie hat beide nach dem Potenzial von IoT-Applikationen gefragt. Sie wollte wissen, was derezit am Markt passiert und was der Handel tun sollte, um vom Internet of Things zu profitieren.
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Hannover Messe: IoT trifft RealitätWenn einem Kevin Ashton etwas sagt, könnte man meinen, die Hannover Messe hinke 20 Jahre hinterher. So hatte er vor fast 20 Jahren eine Vision von Computern entwickelt, die Informationen über die Fabrikation von Gegenständen sammeln, um vorherzusagen, wann die Dinge kaputtgehen. Diese Vernetzung heißt im Jahre 2017 Internet of Things (IoT).
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Außer KontrolleAnarchie der Maschinen in modernen Fabriken ist für manchen nur eine Frage der Zeit, wenn, ja wenn wir bei unseren visionären Bestrebungen unsere Fabriken zu digitalisieren und unsere Maschinen über Internetportale miteinander kommunizieren zu lassen das Thema Sicherheitskonzepte weiterhin stoisch vernachlässigen.
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Problemzone Zukunft"Ich kann nicht sagen, was morgen ist. Mein Kühlschrank schon. Er weiß, wie wahrscheinlich es ist, ob er morgen noch kühlt oder nicht." Mit Predictive Asset Maintanance kann es ihm das Windrad gleich machen.
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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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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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Analytics. Fighting cancer for more than 40 years. Thanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
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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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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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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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Das volle Potenzial des Internets der Dinge erschließenBeim Internet der Dinge denkt man zuerst an vernetzte Autos und tragbare Geräte – aber die größten Triumphe wird das Internet der Dinge wohl in den Fabrikhallen verzeichnen.
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10 ways analytics can make your city smarter From child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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How do you know if you’re ready for Hadoop?Ask an early adopter. Epsilon VP of Products answers our Hadoop questions about implementation, preparation and scalability.
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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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3 things you need to know about event stream processingAs more data is generated from the Internet of Things, more of it will be analyzed as it is streaming. Learn how to analyze streaming data – and how it differs from traditional analysis.
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Hadoop in the boardroom?The Hadoop technology trend is still on the rise, with Hadoop uses moving from IT to the business units. But what about Hadoop in the boardroom? Learn why executives are discussing this disruptive technology and what they expect it to provide.
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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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What big data has brought to the privacy discussionHow is big data impacting your privacy? In an increasingly transparent and dangerous world, how do you balance privacy and security? It's a discussion we need to have now, before it's too late says Tamara Dull.
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Hadoop survey results reveal use cases, needs and trendsHow are companies using Hadoop? Why are adoption rates still low? And why is it so important? Data professionals’ candid answers may surprise you.
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The OODA LoopApplying the military’s OODA Loop (observation, orientation, decision and action) to data helps organizations decide and act more quickly. That equals victory in today’s business wars.
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9 questions on in-memory analyticsWith in-memory analytics, data is stored on the disk but read into memory for faster analytical processing. What does this mean for your business? And how can you benefit? Find out the answers to these and other questions.
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How do recommendation systems know what you might like?How do recommendation systems know what you’re likely to want and offer it up while you’re shopping? That’s a computationally intensive question that used to take hours or days to answer. With distributed computing and in-memory analytics, it’s done in minutes.
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Big data isn’t just for big businesses Midsize businesses are taking advantage of big data with data visualization. Here are five tips for getting started.
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6 Big Data Dos and Don’ts Social data. Streaming data. Unstructured data. What are the dos and don’ts for dealing with all these new big data sources? Find out from SAS experts and recent IDG research.
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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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Big data and the Internet of Things: Two sides of the same coin?Big data and the Internet of Things are converging. Tamara Dull explains the relationship between the two terms and how they differ.
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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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Coming soon: The Internet of CarsFind out how personal transportation will change as the Internet of Things becomes a reality. At the Premier Business Leadership Series, Andreas Mai, Director of Smart Connected Vehicles for Cisco will preview what's coming next.
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Coming soon: The Internet of CarsToday's self-parking cars are a marvel, but that’s nothing compared to what’s just around the corner. The Internet of Things will change everything about personal transportation.
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Coming soon: The Internet of CarsToday's self-parking cars are a marvel, but that’s nothing compared to what’s just around the corner. The Internet of Things will change everything about personal transportation.
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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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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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Is big data science fiction?[meta description]
Author Evan Stubbs examines the themes of Isaac Asimov and compares them with current big data projects around the world. His conclusion? The future of big data is now.
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What is the 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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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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Are You Late to the Big Data Party?Have you recently embraced all things big data? But only superficially? Find out what the real big data experts have been doing for the last decade. And what they're doing now with data virtualization.
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A Getting Started With Hadoop ChecklistFrom low-cost storage to distributed processing, Hadoop offers many promises. But there’s an expanding analytics ecosystem evolving around this big data platform that’s worth some study. Read our checklist and make sure you’re not overlooking anything important in your rush to get value from Hadoop.
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Big data and global developmentFind out how organiztions are using online and mobile data to make the world a better place. The United Nation's Global Pulse team defines global development and explains how big data can help improve human welfare.
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Understanding data in motionLearn how to analyze fast moving data streams on the fly with event stream processing.
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The role for big data in health care’s triple aimIndustry consultant Carolina Wallenius explains the future of health care and the role of analytics.
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Big data, big value … huge opportunityThe Centre for Economics and Business Research conducted two studies into the value of big data – perhaps the only studies of their kind to date. The study reveals how to get the most of your data in the future.
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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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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.
Real-world techniques for analyzing big dataWhat are the top two analytics techniques you should know for big data? And how are businesses modernizing for big data analytics? Find out in this interview with author and professor Bart Baesens.