This year, Las Vegas played host to SAS Explore, an incredible gathering of developers, data scientists, engineers, programmers and more. In true Las Vegas fashion, the opening session brought all the glitz, immersing attendees in everything SAS offers. With a particular focus on SAS enthusiasts and users, day one featured exciting
When the NBA’s Orlando Magic opened Amway Center in 2010, the team quickly realized they possessed a wealth of untapped data capabilities. Known as pioneers in introducing AI to the NBA, they’ve since expanded their analytics and data footprint in partnership with SAS. Outside of competing on the court, the
At a time when data has become the center of innovation, the utility industry finds itself at a crossroads. Utilities worldwide are challenged by the ever-increasing demand for efficient energy consumption and the pressing need for sustainability. Balancing these priorities is not easy, nor is it cheap. In 2022, London
Today, a business disruption can stem from just about any type of event — a once-in-a-lifetime pandemic, economic pressures, critical skillset shortages or changes in market or investor evaluation criteria. Only resilient companies can ride out the turbulence and quickly bounce back. But with the ongoing pace of change, making
As a member of the SAS Data Ethics Practice, I was excited to collaborate with teams at the SAS Hackathon to learn more about their ideas for trustworthy AI. Artificial Intelligence has the potential to make a difference in the real world, and partnering with the hackathon teams was a
In summer 2020, we launched our strategic partnership with Microsoft, announcing our plan to work together to help our customers. With world-class data and analytics, we are helping them solve their most critical business challenges using SAS® Viya® on Microsoft Azure. In just three short years, we’ve made tremendous strides toward our
AI – just like humans – can carry biases. Unchecked bias can perpetuate power imbalances and marginalize vulnerable communities. Recognizing the potential for bias is one of the first steps toward responsible innovation. Doing so allows users to include diverse needs and perspectives in building inclusive and robust products. Through
As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.
This year, SAS Innovate in Orlando brought executives and other industry luminaries together to inspire attendees to use analytics to outpace tomorrow. Data and analytics enables you to get to the true value of a human being. Michael Lewis, Author of Moneyball Chief Marketing Officer Jenn Chase, who hosted the event,
As AI rapidly advances over the next several years, I’ve been fortunate to have an active role in helping to guide a responsible path forward when it comes to technology’s impact on our daily lives. Currently, this role includes serving as Vice President for the SAS Data Ethics Practice, as an
