What if, 12 months ago, someone bet you that a technology was coming in the next year that would cause great excitement and great fear in all businesses, industries and geographies? Would you have taken that bet? Of course, now we know that the technology is generative AI. Popularized by
The analytics are mind boggling. But the story isn’t analytics. The designs will wow you. But the story isn’t design. The story, as it has been in each of the past 10 years, is that these amazing analytical designs sprang from the minds of students – North Carolina State University
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.
Did you know that over 300 people die daily from drug overdoses in the US? As a pharmacist, I have witnessed the harrowing effects of substance use disorder (SUD) and the resulting opioid crisis on individuals, families and communities. The complexity of addiction Who among us does not know someone
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
Humanity collectively creates 2.5 quintillion bytes of data daily, presenting incredible opportunities for organizations—especially those who collect it in the cloud. Cloud-based data offers excellent insights for organizations, including a meaningful look at customer needs and operational improvements. However, these benefits come with risks, especially regarding security. According to IBM
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The shift to cloud computing has dramatically transformed how organizations and businesses store, manage and analyze their data. The benefits of this shift are well-known: Moving to the cloud increases the potential to gain more value their data through faster access, greater scalability and cost-efficiency. All plain sailing, right? Not
When you think about life-saving technology, does a statistical computing environment come to mind? Statistical computing environments (SCE) are critical in accelerating scientific discoveries by enabling researchers to manage, process and analyze data efficiently and compliantly, maintaining the utmost regulatory integrity. As life sciences research generates increasingly large and diverse
