BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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Modern manufacturing's triple play: Digital twins, analytics & IoT IoT-powered digital twins revolutionize manufacturing with real-time data analysis, predictive maintenance and optimized production. Discover their transformational impact.
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What is a data lake & why does it matter?As containers for multiple collections of data in one convenient location, data lakes allow for self-service access, exploration and visualization. In turn, businesses can see and respond to new information faster.
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5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
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Edge computingWith edge computing, IoT data is processed at the edge of a network 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 gapTom Bradicich explains why IT/OT convergence is essential for successful IoT projects.
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大数据引发的隐私讨论大数据是如何影响你的隐私？在这个不断提高透明性的危险世界中，你如何平衡隐私和安全保密？必需要展开讨论，不然就太晚了。Tamara Dull说。
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IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not to integrate IoT in health care.
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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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互连汽车：物联网为原始设备制造商指明新的方向 借助IoT和分析，汽车制造商及其合作伙伴可以重塑商业模式，以新的方法利用数据创造价值，更好地为客户提供服务。
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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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人工智能、机器学习、深度学习及其他人工智能、机器学习、深度学习都在改变我们的生活和工作方式。它们是如何关联，又是如何改变我们这个世界的？
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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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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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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 new techniques 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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数据共享能否帮助治疗癌症?癌症治疗令人倍受折磨，没人愿意忍受不必要的痛苦却得不到治疗效果。有时，可以通过医学扫描来衡量疗效，但当患者终于知道一种方案是否有效时往往为时已晚，一切都已无济于事。
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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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统计建模和机器学习的区别之我见我们可以通过数据所承担的角色来区分统计建模、经典机器学习和现代机器学习。
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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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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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SAS CEO: 分析改变世界40年，创造了第一代知识型企业SAS公司联合创始人及CEO Jim Goodnight不仅创造了商业软件分析的神话，还创造了全球第一代知识型公司。
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大数据分析强势助力数字化转型中国在经济新常态下，面临更多新挑战。企业必须借助更新的科技力量来应对挑战、脱颖而出，数字化转型将成为未来10年所有行业用户的主旋律。
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SAS：保持40年持续增长，创造了数据分析的商业神话SAS公司成立40年来一直保持增长态势，2016年更迎来了发展的黄金时代
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在智能社会时代，数据分析是变道超车的强国战略思维我们正在进入大数据时代，即将走向智能社会时代。由大数据到大智能，关键在于数据分析的思维、文化与能力，这是中国变道超车的战略机遇。
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今天是中国企业投资数据分析的最佳时机随着大数据、云计算、物联网等新技术向商业领域的渗透，越来越多的企业要素被数字化和数据化，数据已经成为了企业的重要资源和生产要素。
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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?
Big Data: The Basics
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.
What is 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.
What is 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.
What is 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.
What is the internet of things (IoT)?
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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