Jordan Bakerman's session at ODSC Europe inspired this post, which provides an overview of deep learning and how factorization machines work.
Are you looking for a Data Science easy button? The dataSciencePilot action set comes pretty close.
Are you looking for a Data Science easy button? The Data Science Pilot Action Set comes pretty close.
How do you explain flat-line forecasts to senior management? Or, do you just make manual overrides to adjust the forecast? When there is no detectable trend or seasonality associated with your demand history, or something has disrupted the trend and/or seasonality, simple time series methods (i.e. naïve and simple
Mehr als ein Jahr ist seit dem Inkrafttreten der EU-Datenschutz-Grundverordnung (DSGVO) vergangen. Jetzt sind die ersten Abstrafungen erfolgt. Zeit für eine erste Bilanz: Wo stehen wir eigentlich beim Datenschutz? Wie wird die Gesetzeslage schon umgesetzt und welche Hürden gibt es immer noch? Mit diesen Fragen hat sich Arnd Böken, Rechtsanwalt
When a new Moon passes between the Earth and the Sun, the Moon can cast a shadow on certain regions of the Earth. This natural phenomenon creates a solar eclipse, meaning the Moon covers, or eclipses, your view of the Sun if you're in that region. No surprise that in
The first person to live to 150 has already been born. When I first heard this controversial idea, popularized by biomedical gerontologist Aubrey de Grey of the SENS Research Foundation, it gave me chills. It’s amazing to think we could have 50 more years to spend with loved ones and
The potential for artificial intelligence (AI) and the Internet of Things (IoT) to transform the way health care and therapies are delivered is tremendous. It’s not surprising that the health care and life sciences industries are being flooded with information about how these new technologies will change everything. While it’s
AI seems to be mentioned everywhere these days. But how can AI be used in day-to-day work? Here, Katherine Taylor explains an example of "practical AI" in banking using SAS Visual Data Mining and Machine Learning. She'll explore more business problems and industries in future posts.
When describing their business model, our customer, Epipoli (one of the leading gift card companies in Europe), tells the story of the ancient Limoncello makers of Italy. Limoncello is an intensely lemon-flavored liqueur famously produced in Sorrento, the Amalfi coast, and the island of Capri. The drink started as a local tradition, but quickly
In an earlier blog post my colleague, Suneel Grover, wrote about how to take advantage of the product recommendations technology implemented in SAS Customer Intelligence 360. He noted that two methods are implemented behind the scenes, a visitor-centric and a product (or item)-centric approach. And most importantly, while some sophisticated
What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
We hear a lot about data science nowadays, but do you ever wonder how it’s being used to help solve real-world problems? In my first post of this blog series, we heard why two students chose to pursue a STEM field and what appealed to them about data science. Today, we'll hear
Why is teaching and learning analytics so important? Recently, I interviewed two professors to gain their perspective on teaching students the skills they’ll need to pursue a lucrative career in the digital age. Joni Shreve, PhD, Faculty, Louisiana State University, explains: “We teach students analytics because there’s a talent gap
Soccer has been on my mind since the recent tournament in Russia, and fraud is always on my mind. Fighting fraud today means thinking about artificial intelligence (AI) and machine learning (ML). Everyone says so. Like me, you probably wonder how AI and ML work – especially in fraud. What
Fazit: Wie Analytics und CEM gemeinsam den Weg zu loyalen Kunden weisen (Kundenverständnis) . Ein positives Kundenerlebnis ist heute eine selbstverständliche Erwartung der Verbraucher. Um einen Kunden zu begeistern und dadurch zu binden, sollte ein starkes, analytisch gestütztes CEM (Customer Experience Management) im Unternehmen etabliert werden, das konsequent weiterentwickelt wird.
Like the fabled winds of song, new students come sweepin’ down the plains to the University of Oklahoma, with a little help from analytics. I recently had the opportunity to chat with Lisa Moore, Data Scientist at the University of Oklahoma, on her expanding use of predictive analytics. It had
What do the New York Mets, the Orlando Magic and the Boston Bruins all have in common? They all use SAS analytics to gain deeper insights into athlete recruitment, retention, performance, safety and more. And after seeing the success teams like these have had using analytics, collegiate sports are turning
Analyzing ticket sales and customer data for large sports and entertainment events is a complex endeavor. But SAS Visual Analytics makes it easy, with location analytics, customer segmentation, predictive artificial intelligence (AI) capabilities – and more. This blog post covers a brief overview of these features by using a fictitious event company
I bet many of you didn’t even know the term machine learning five years ago. But Gartner did. The Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2018 was just released, and SAS has been in the leader’s quadrant for five years straight. According to Gartner, “This Magic
Eidtor's note: Andrew Fowkes, Head of Retail Centre of Excellence at SAS UK & Ireland, explores the factors driving some retailers to excel and others to fail in a complex environment A stark polarisation is now emerging between winners and losers on the high street. Companies that have focused on
You work with data. Data about your customers. It's likely that your customers' identity could be determined from the data you’ve collected. Starting in May 2018, a new data protection law will be in effect. This means you’re going to have to document which technical measures you’ve implemented to prevent your
Kürzlich habe ich mich sehr amüsiert über eine Reportage im Fernsehen: Man fragte Jugendliche, was sie mal beruflich machen wollen, und die Antworten waren „YouTube-Star“, „DJ“ und immer wieder auch „Influencer“. Letzteres ruft gerade bei der Ü30-Generation Verwunderung hervor, da man irgendwie an Grippe denkt – die Aussprache ist gleich,
Kundenerfahrungen in Echtzeit genießen einerseits hohe Priorität in Marketingabteilungen vieler Unternehmen, die Umsetzung ist andererseits vielfach noch eine Herausforderung. Da der Marktdruck durch das Internet und die Digitalisierung immer größer wird, sind die Unternehmen gezwungen, ihren (potenziellen und realen) Kunden ein Erlebnis während der Interaktion oder im Dialog zu vermitteln,
Let’s lay down some fundamentals. In business you want to achieve the highest revenues with the best margins and the lowest costs. More specifically, in manufacturing, you want your products to be the highest quality (relative to specification) when you make the item. And you want it shipped to the
In the current artificial intelligence (AI) media storm, the deep learning hype is especially strong. Let's explore how these terms relate and why they're so hot right now. First, deep learning is not synonymous with AI or even machine learning. Artificial Intelligence is a broad field which aims to "automate cognitive processes."
Stories have been flooding the market lately about artificial intelligence (AI) causing the next world war. Based originally on comments made by Elon Musk (see below), many others are jumping in to share similar fears. China, Russia, soon all countries w strong computer science. Competition for AI superiority at national level
Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are
TwIn part one of this series, Clark Twiddy, Chief Administrative Officer of Twiddy & Company, shared some best practices from the first of three phases of Twiddy’s journey to becoming a data-driven SMB. This post focuses on phases two and three of their journey. (Read the whole series here.) Phase
For colleges and universities, awarding financial aid today requires sophisticated analysis. When higher education leaders ask, “How can we use financial aid to help meet our institutional goals?” they need to consider many scenarios to balance strategic enrollment goals, student need, and institutional finances in order to optimize yield and
