If you are reading this, you are part of the extended SAS family. Together, we are navigating uncharted territory as we care for our families, our friends and our communities during the coronavirus outbreak. Over the past few weeks, the SAS executive team has been meeting throughout the day, every day, to discuss how we
The endpoint of analytics is not a report or an alert. The endpoint is a decision. Often those decisions are related to your business and you make them to reduce risks, improve production or satisfy customers. In health care, however, the decisions made with analytics can be a matter of
Maybe you are new to AI and analytics. Or maybe you have been working with data and analytics for decades, even before we called this work data science or decision science. As the industry has broadened from statistics and analytics to big data and artificial intelligence, some things have remained
Everyone is talking about artificial intelligence. Unfortunately, a lot of what you hear about AI in the movies and on the TV is sensationalized for entertainment. Indeed, AI is overhyped. But AI is also real and powerful. Consider this: engineers worked for years on hand-crafted models for object detection, facial
I just spent four inspiring days talking to customers about the many ways they are putting analytics into action in their organizations. From computer vision models that interpret medical images to natural language processing models that analyze supply chain records, SAS users are doing ground-breaking work with analytics and AI.
Artificial intelligence (AI) is a natural evolution of analytics. Over the years, we have seen AI add learning and automation capabilities to the predictive and prescriptive jobs of analytics. We have been building AI systems for decades, but a few things have changed to make today’s AI systems more powerful.
What if? Two simple words. A bold question. Driver of change and progress. Fuel for innovation. “What if?” perfectly captures core values of the SAS culture: to be curious, forward-thinking and to challenge assumptions in solving problems. Today, I would like to introduce to you the people behind four of
Called out as two common IT threads in my previous blog post, how do artificial intelligence and automation connect with another prominent movement, the Internet of Things (IoT)? First, consider these predictions from IDC on IoT. By 2020, At least 45 percent of IoT-created data will be stored, processed, analyzed
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?”
We live in exciting times. Our relationships with machines, objects and things are quickly changing. Since mankind lived in caves, we have pushed our will into passive tools with our hands and our voices. Our mice and our keyboards do exactly as we tell them to, and devices like the