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SAS Events
Becky Graebe 0
Hot takeaways from a CTO wing slayer

As SAS Chief Technology Officer, Bryan Harris has plenty of day-to-day issues that create a hotbed of worries: keeping pace with innovation, finding and retaining top talent, technical debt, delivering on time and making sure SAS technology is ready to meet the needs of an ever-changing business landscape. So, the

Cloud | Data Management
Hans-Joachim Edert 0
Balancing cloud challenges with containerization strategies

Cloud computing and containerization are two technologies that directly impact a CIO's core responsibilities: delivering IT services efficiently and effectively for the business.   Beyond their technical implications, these technologies represent a strategic shift toward meeting business needs for agility, scalability and faster innovation. Striking a balance between opportunities and

Advanced Analytics | Artificial Intelligence | Innovation
Waynette Tubbs 0
Quantum computing and AI: The future of problem-solving

Imagine a not-so-distant future where quantum computing reshapes our approach to solving some of businesses’ and society’s most pressing issues. This isn’t fantasy. Just as nuclear energy, 3D printing and gene therapy transitioned from science fiction to scientific reality, quantum computing is on the brink of becoming the next transformative

Advanced Analytics | Artificial Intelligence
David Weik 0
Understanding LLMOps: Navigating the waters of large language models

Large language models (LLMs), like ChatGPT and Microsoft Copilot, have moved quickly out of the novelty phase into widespread use across industries. Among other examples, these new technologies are being used to generate customer emails, summarize meeting notes, supplement patient care and offer legal analysis. As LLMs proliferate across organizations,

Artificial Intelligence | Cloud
Lindsey Coombs 0
A developer workbench: The perfect environment to build AI and machine learning models

Developers and modelers face challenges when finding and validating data, collaborating across groups, and transferring work to an enterprise platform. Using a self-service, on-demand compute environment for data analysis and machine learning models increases productivity and performance while minimizing IT support and cost. In this Q&A, Joe Madden, Senior Product

Artificial Intelligence | Innovation
Greg Wujek 0
How generative AI creates cross-channel harmony in pharmaceutical marketing

The days of one-size-fits-all messaging in the pharmaceutical industry are fading. Today's patients and health care providers (HCPs) expect personalized content across a variety of channels. This is where generative AI (GenAI) can really help execute cross-channel marketing. Reaching the right audience with the right message Imagine a world where

Advanced Analytics | Customer Intelligence
Albert Qian 0
How to become more operationally efficient with decision trees and large language models

The ability of an organization to make informed decisions swiftly and accurately is crucial. Organizations across various industries rely heavily on advanced technologies to navigate complex data and enhance customer experiences. Decision trees and large language models (LLMs) are two technologies that play pivotal roles in empowering organizations to make

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