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
Tag: advanced analytics
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
With the spreading of artificial intelligence, advanced analytics tools have already conquered many areas of life. The SAS Analytics Day conference in Budapest (Hungary) examined the present status and the future potential of data science.
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
At the World Pharma Pricing and Market Access conference in London next month, I will deliver a presentation titled, “Next Generation Launch Sequencing.” But, what does that really mean? It’s much more than marketing hype, and in my talk, I will explore in detail the three factors that define a
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."
We already know that work and workplaces are changing. But what do these changes mean for the skills that students should be developing to improve their employability? Previous generations had a simple recipe for success in their jobs: They chose a profession, acquired foundational knowledge and slowly became an expert
Employability in general, and in data science in particular, means your skills must adapt to business needs. Thomas Davenport and D.J. Patil described data scientist as “The Sexiest Job of the 21st Century” in 2012. Since then, understanding has grown that businesses across industries need employees who can work with
Recently I have been thinking about data preparation, but not just any kind of data preparation. I have been thinking about the preparation required for advanced analytics and predictive models. Recently, I had to explain the process of how to create this data and this proved to be somewhat challenging given a
For the third installment of this series I visited Marlies van Sonsbeek (CEO) and Andrew Hagens (Chief Innovation Officer) of Finaps in their beautiful office in the south of Amsterdam. Company Overview Finaps is a young innovative company founded at the end of 2010 by two former ABN-Amro colleagues. Not
Fake news is in the news again. Both in the US and in Europe. Facebook recently announced that it was allowing Congressional scrutiny of advertisements bought by Russians during the 2016 US election, as part of an ongoing investigation. It is a hard path to walk. Facebook has faced criticism
The IT landscape has become very platform oriented. Earlier it was quite normal to implement unique and separate IT systems to handle operational data from customers, supply chain, HR or marketing. Even word processing and spread sheet calculations had multiple commercial options. Having many isolated solutions led to non-integrated IT-landscape
The challenges for banking in emerging markets are similar to those elsewhere, but with fewer resources and structures available to address them. Key issues include expanding the market, and improving financial inclusion, to provide better access to banking services. To my mind, one of the most interesting aspects of the
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