What barriers do some communities face in getting the facts about cancer and the treatment they deserve? The CEO Roundtable on Cancer opened up about them at a November conference at SAS. For 21 years, the CEO Roundtable on Cancer has been gathering to discuss advancements in cancer. Their 40-member organization, along with
SAS has been extending technological boundaries for many years. Whether in analytics, artificial intelligence (AI) or cloud, it excels in innovating what these technologies can do on a day-to-day basis. Recently, SAS released some of its most exciting announcements, sharing what is to come over the next couple of years.
A new prototype AI diagnostic test for pre-eclampsia developed by a multi-disciplinary Irish team will hopefully save thousands of lives around the world. Preeclampsia affects 1 in 10 pregnancies and causes the deaths of at least 50,000 mothers and 500,000 babies worldwide every year. It is a serious pregnancy complication
You read “First COVID case reported in America” on your phone, not thinking much of it. Why should you, it’s just a regular day in January 2020, right? A couple months later, the world drastically changes. While we have all learned a lot since then, a question that still boggles
Are you a seasoned data scientist looking for a fast, all-inclusive machine learning solution? Curious about machine learning but have little to no programming experience? Interested in using AI to take over the world? Follow my lead and use SAS VDDML to fast track your world domination. This blog is
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
If you have worked with the different types of score code generated by the high-performance modeling nodes in SAS® Enterprise Miner™ 14.1, you have probably come across the Analytic Store (or ASTORE) file type for scoring. The ASTOREfile type works very well for scoring complex machine learning models like random
To get a high-performing analytics team producing insights that matter, you need great people, powerful software and a culture of experimentation and innovation. Three simple ingredients, but getting there is far from easy. In this post, I’d like to get you thinking about how to organize for success by building
SAS® Viya™ 3.1 represents the third generation of high performance computing from SAS. Our journey started a long time ago and, along the way, we have introduced a number of high performance technologies into the SAS software platform: In-Database processing where SAS data quality and analytical processing occur within the
Who cares about sports and data? Not just athletes, coaches and fans. It turns out that many companies outside of sporting organisations are also associated with the sports industry. For example, financial services organisations are actively involved in sports sponsorships. Retailers sell fan merchandise. Telcos build social engagement strategies around
It was John Allen Paulos who said, “Data, data everywhere, but not a thought to think.” That rings true more than ever before. Companies are struggling with the deluge of data coming at them from multiple channels. But traditional data channels are just the beginning. Companies also are facing an
I moved to Australia from Belgium two months ago for a short-term assignment. I am very concerned by the exchange rate. My dollars have lost over 15% of their value in euros and I share my frustration around me. People tell me, "Just wait, it cannot stay so low, the
After doing some recent research with IDC®, I got to thinking again about the reasons that organizations of all sizes in all industries are so slow at adopting analytics as part of their ‘business as usual’ operations. While I have no hard statistics on who is and who isn’t adopting
Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But
In my last blog post, I introduced SAS Visual Analytics for UN Comtrade, which helps anyone glean answers from the most comprehensive collection of international trade data in the world. I’d like to share some of what we learned in the development process as it pertains to big data, high
When do analytics really provide value? All the time, of course. However, one of the best times for analytics to prove their value is when you are asked to do more with less. Often, the reason we are asked to do more with less is because of an economic downturn
Imagine choosing one application for Linux that worked on the version you currently use. You choose another program but find that it doesn’t work on that version of Linux. A third application? It works with another version of Linux. Luckily, that rarely happens. In 2001, the Linux Foundation established Linux Standard
~ This article is co-authored by Binod Jha, Global Product Manager for Insurance Solutions at SAS, and Amol Kokane, Senior Development Manager for Insurance & Risk Management Solutions at SAS ~ How might insurance policies change if sensor data could be automatically transmitted and analyzed from your car, your home and even your
El costo de no ser relevante en el mercado puede ser la pérdida de un cliente. Los clientes esperan interacciones personalizadas y las organizaciones deben tener en cuenta que, factores como la calidad del producto, la facilidad y velocidad de adquisición, ya no son suficientes. Entonces, ¿cuál es el siguiente
Every time I pick up a new article about analytics, I am always disappointed by the fact that I cannot find any specifics mentioned about back-end processing. It is no secret that every vendor wishes they had the latest and greatest parallel processing capabilities, but the truth is that many
Getting universal buy in for Hadoop needn’t be an uphill struggle. In many cases, it only takes one pilot project to realize the benefits of low cost storage combined with powerful analytics. The Hadoop topic provoked passionate conversatoin at a recent roundtable discussion attended by over 25 people from a range
The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research. There is no doubt that IT teams are
I have been on a whirlwind tour locally here in Australia visiting existing SAS customers where the focus of discussions have centered around SAS and Hadoop. I am happy to report that during these discussions, customers have been consistently surprised and excited about what we are doing around SAS on
I recently caught up with Dr. Tom Davenport, analytics thought-leader and author of Big Data @ Work, in Dublin, where we talked about big data, the Internet of Things and Hadoop. I'll be sharing the conversation here with you in two parts. You'll find part one below, and you can check
The rise of analytics and big data presents a once-in-a-generation opportunity for organisations to put themselves at the cutting edge, to create a competitive advantage by developing a culture of analytical success within their organisation. Yet most seem unable to grasp the opportunity that is within their reach. Eric Hoffer
At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing
In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available
In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand
I’ve been told I have rocks for brains before, but right now I have rocks on the brain – the kind that are millions of years old and contain precious stores of oil and gas. One reason I have petroleum on my mind is that I’ve just returned from Brazil, where
