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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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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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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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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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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Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
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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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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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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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Internet des objets, Cloud et Big Data Innovation LabTechnologies. Culture. Organisation. La deuxième séance plénière de SAS Forum 2015 faisait le point sur ce nouveau « TCO » de la transformation numérique.
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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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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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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.
Big Data: The Basics
Qu’entend-on par big data?
Le défi essentiel des Big Data n'est pas de stocker les données pour une durée indéterminée et pour un usage futur, mais bien de les traiter dans un temps compatible avec les enjeux métiers actuels ou potentiels.
Ceci nécessite la mise en œuvre d'une démarche analytique permettant :
- d'adresser la réactivité, qui se traduit parfois par des usages quasi temps-réel,
- d'adresser la complexité, inhérente à l'algorithme ou induite par la diversité des données,
- de mettre en perspective ces deux derniers aspects par rapport aux enjeux et aux usages métiers de l'entreprise.
Derrière les Big Data, il y a avant tout des usages et en particulier ceux qui favorisent la prise de décision « argumentée » basée sur une démarche expérimentale ou analytique appropriée en trois phases : découvrir, modéliser, décider.
En apprendre davantage sur le big data
SAS au congrès Big Data 2015
Big Data Analytics
Quelles que soient la vitesse, la volumétrie et la variété de ces données, les entreprises doivent être en mesure de tirer parti de la valeur des informations stockées en masse grâce à une approche analytique des Big Data – c’est ce que l’on appelle les Big Data Analytics.
Répondre aux enjeux des Big Data grâce à l’utilisation de solutions Big Data Analytics vous permet de transformer vos données structurées et non structurées en un véritable capital informationnel tout en exploitant de manière optimale vos infrastructures techniques.
Hadoop
Les big data représentent un gisement de valeur important pour les entreprises. Hadoop est l’une des technologies phares utilisées pour fédérer et gérer des nouvelles sources de données (sites web, mobilité, médias sociaux, log machine etc...). Hadoop fonctionne sur des serveurs standards, ne nécessite pas l’achat de matériel spécifique et est particulièrement adapté au stockage de données non structurées, comme du texte ou des documents multimédia. Hadoop peut répondre à des cas d’usages très divers, dans une approche financièrement acceptable.
Comment intégrer Hadoop en douceur
En apprendre davantage sur Hadoop
Data Visualisation
Voir pour comprendre, telle est notre définition de la visualisation de données. Approcher vos données de façon graphique vous offre des perspectives nouvelles. Représenter vos informations sans recours à aucun spécialiste est un accélérateur dans l’entreprise, le partage et la collaborateur sont vos atouts pour usage efficace de vos données, quel qu’en soit la volumétrie. La data visualisation est le moyen le plus simple de traiter et d’interpréter les grandes quantités d’informations.
Internet des Objets
Basé sur la connectivité directe ou indirecte, l'Internet des objets recouvre tout ce qui intègre des modules de communication. La mise en connexion de nos voitures, télévisions, montres, stylos, podomètres et autres appareils à internet crée un réseau d'objets connectés appelé l'Internet des Objets. C'est une nouvelle révolution technologique et culturelle dont les exploitations sont illimitées. Nouveaux défis ? Bénéfices ?
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