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Analytics | Data for Good | Innovation
Olivia Ojeda 0
5 smart cities at the intersection of sustainability and technology

Urbanization is rapidly accelerating, allowing communities to grow with more access to services and technological advancements. However, this quick change in growth can present challenges as well, such as pollution and lack of infrastructure. Smart cities can support urbanization by offering innovative solutions with artificial intelligence (AI), the Internet of

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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

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Analytics
Albert Qian 0
3 ways you can use a copilot in SAS®

Over the past year, business leaders and technical minds have delved into the potential of generative AI (GenAI) beyond creative tasks like writing fun poems or generating silly images. We’ve been part of these conversations, actively exploring how GenAI can be used to help organizations manage their data, derive insights

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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

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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

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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,

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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

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Artificial Intelligence
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

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Life Sciences
Analytics | Artificial Intelligence
Jonathan Moran 0
How integrating generative AI with SAS Customer Intelligence 360 helps 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

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