The financial services industry has witnessed considerable hype around artificial intelligence (AI) in recent months. We’re all seeing a slew of articles in the media, at conference keynote presentations and think-tanks tasked with leading the revolution. AI indeed appears to be the new gold rush for large organisations and FinTech
SAS has never been able to sit idle and watch from the sidelines as crises ensue. Why? Because we know that good can be made possible if data is put to work. SAS Global Forum opening session spotlighted four real-life examples of how SAS is showing up and improving the
Bright lights, a packed house, loud music and high energy – these are the elements that come to life every year in the SAS Global Forum opening session. But it’s not just about the entertainment and energy. Each year, the Sunday night opening session sets the stage for conference attendees.
Data and analytics touch our lives every day. Consider: A call from your bank warning of a suspicious transaction. A well-timed discounted offer for something you need. Most people realize that data and analytics are behind these things, but they remain on the periphery of mainstream conversations. We need to
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
You’ve probably heard the stats about the number of internet-connected devices, which make up the Internet of Things (IoT). Most likely, you’re part of the narrative. We're all connected in new ways and through more devices than ever before. Sometimes IoT impacts our daily lives – safety sensors on cars,
Chess has been intertwined with Computer Science since, well ... forever. Long before supercomputer Deep Blue, loaded with human-crafted chess algorithms, beat reigning world champion Garry Kasparov in 1997. Well before AlphaZero AI defeated all of human chess knowledge with just a few hours of study. Way before computers even
“Quick response forecasting (QRF) techniques are forecasting processes that can incorporate information quickly enough to act upon by agile supply chains” explained Dr. Larry Lapide, in a recent Journal of Business Forecasting column. The concept of QRF is based on updating demand forecasts to reflect real and rapid changes in demand, both
In the hype and excitement surrounding artificial intelligence and big data, most of us miss out on critical aspects related to collection, processing, handling and analyzing data. It's important for data science practitioners to understand these critical aspects and add a human touch to big data. What are these aspects?
As the old saying goes, the only constant is change. The corollary that I’ll add is this: and the pace of change feels like it's directly proportional to Moore’s Law. Utilities used to be favorites for conservative investors. Smooth. Steady. When there was change, it was incremental. But today, uncertainty
