Analytics | Artificial Intelligence
Jonathan Moran 0
How generative AI integrations in SAS Customer Intelligence 360 help modern digital marketers

Generative AI models have existed since the 1950s, but only in recent years have their application in marketing gained significant attention and media coverage. The impressive abilities of generative AI, particularly in content generation, have sparked excitement within the industry. However, the larger question that arises is: How can generative

Programming Tips
Rick Wicklin 0
Define or extract the diagonals of a matrix

Many useful matrices in applied math and statistics have a banded structure. Examples include diagonal matrices, tridiagonal matrices, banded matrices, and Toeplitz matrices. An example of an unsymmetric Toeplitz matrix is shown to the right. Notice that the matrix is constant along each diagonal, including sub- and superdiagonals. Recently, I

SAS Events
Caroline Ricks 0
Welcoming SAS Explore to Las Vegas

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

Analytics | Artificial Intelligence
Reggie Townsend 0
Striking the balance: Navigating the pitfalls of AI technocentrism

Embracing AI is wonderful. From a practical business perspective, though, there are limits. This issue is broader than AI. However, I’ll constrain the conversation to that for now, given the attention AI is getting these days. Yes, some processes are undoubtedly good candidates for automation, but avoiding “technocentrism” is critical to

Analytics | Customer Intelligence
Jessica Curtis 0
Why digital logistics is the key to supply chain resiliency amid geopolitical uncertainty

In an increasingly interconnected world, geopolitical events in one region can cause a ripple effect across global supply chains. Due to technical complexity and the concentration of large manufacturers in the Asia Pacific region, the semiconductor supply chain is especially vulnerable to disruptions. In fact, more than 65% of the

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