Machine Learning

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Advanced Analytics | Analytics | Artificial Intelligence | Internet of Things | Machine Learning
Oliver Schabenberger 0
Two tech trends shaping 2018 and beyond

Technology is changing rapidly: autonomous vehicles, connected devices, digital transformation, the Internet of Things (IoT), machine learning, artificial intelligence (AI), automation. The list goes on. And it has only begun. I am often asked, “What is next for SAS? What will the future of analytics look like in 20 years?”

Advanced Analytics | Analytics | Artificial Intelligence | Data Management | Machine Learning
Charlie Chase 0
Why do we rely on judgment when analytics outperforms it?

Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Over the holidays, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company,

Data Management | Internet of Things | Machine Learning
Helmut Plinke 0
Was kommt eigentlich 2018 … in Sachen Datenmanagement?

Welche Veränderungen bringt 2018 im Datenmanagement? Ich habe Experten nach ihrer Meinung zu den Technologietrends 2018 gefragt und sie mit meinen eigenen Erwartungen verglichen. Herauskristallisiert haben sich fünf große Trends, die uns meiner Ansicht nach dieses Jahr im Datenmanagement begleiten: 1. Datenbewegung wird wichtiger Cloud-Anbieter haben bereits gezeigt, wie einfach

Advanced Analytics | Artificial Intelligence | Machine Learning
Jos van Dongen 0
Dutch Data Science, part 4: Rijkswaterstaat RWS

The fourth edition of the series brings me to Rijkswaterstaat, the Dutch government agency responsible for the main connecting infrastructure in the Netherlands (roads, bridges, waterways and water systems). I talked with Bas van Essen who’s responsible for RWS Datalab, the big data lab within Rijkswaterstaat (RWS). Company Overview RWS

Advanced Analytics | Analytics | Customer Intelligence | Machine Learning
Suneel Grover 0
Customer Intelligence 360: The digital shapeshifter of recommendation systems

If you’ve ever used Amazon or Netflix, you’ve experienced the value of recommendation systems firsthand. These sophisticated systems identify recommendations autonomously for individual users based on past purchases and searches, as well as other behaviors. Customers get algorithmic recommendations on additional offerings that are intended to be relevant, valued, and

Advanced Analytics | Artificial Intelligence | Machine Learning
Ilknur Kaynar Kabul 0
Interpretability is crucial for trusting AI and machine learning

As machine learning takes its place in many recent advances in science and technology, the interpretability of machine learning models grows in importance. We are surrounded with applications powered by machine learning, and we’re personally affected by the decisions made by machines more and more every day. From the mundane

Analytics | Artificial Intelligence | Machine Learning
Bert Weemaes 0
Industry 4.0 - Boosting productivity with digital twin analytics

This article focusses on time-variant manufacturing processes, and how analytics can help boost their productivity. Many production lines relying on such processes are involuntarily operated using a suboptimal combination of input control settings most of the time. This weakens overall returns at facilities such as steel mills, mines, chemical and

Analytics | Data for Good | Machine Learning | SAS Events
Steve Bennett 0
How federal civilian agencies can improve outcomes with analytics

From national parks and healthcare to taxes and nutrition, federal civilian agencies feature an incredibly large and diverse set of missions. These agencies oversee almost every aspect of American life with an endless sea of projects, programs and general oversight. But, as Deloitte Consulting’s Mark Urbanczyk said during a recent

Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Patricia Spinner 0
Danger, danger Will Robinson: Modernizing risk mitigation systems with AI

How do you define artificial intelligence? Would you define it differently if it was your job to prevent fraud and financial crimes, where the risks are constantly shifting? In a recent meeting with banking executives responsible for fraud and financial crimes risk mitigation, Wayne Thompson, Manager of Data Science Technologies

Analytics | Machine Learning
Thomas Bodenmüller-Dodek 0
Blogparade (#paradisefound) zum Projekt Paradise Found: Haben Sie Ihr Paradies gefunden?

Kultur- und Freizeitattraktionen, gutes Gastronomieangebot, Sicherheit und Infrastruktur, viel Grün – oder doch ganz einfach niedrige Lebenshaltungskosten? Für jeden definiert sich ein lebenswerter Ort ganz unterschiedlich. Statt Bauchgefühl hier Daten objektiv entscheiden zu lassen – das ist der Ansatz des Projektes „Paradise Found“, bei dem SAS Daten aus fast 150.000

Analytics | Artificial Intelligence | Fraud & Security Intelligence | Machine Learning
Jen Dunham 0
Considering fraud-fighting with machine learning and artificial intelligence?

Any look back at analytics in 2017 makes it clear that machine learning and artificial intelligence appear to be the ‘next big things’ that can solve just about any problem, from writing new hit songs to curing disease. Not one to buy into the hype, I became curious as to

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