Tag: data culture and literacy

Analytics
Jonathan Moran 0
3 reasons why marketers need SAS® for customer analytics

Customer analytics is becoming imperative for organizations that desire to create and provide personalized and satisfying customer experiences. To understand and anticipate customer needs, preferences and behaviors in a fast-moving marketplace, organizations must make sense of unstructured data, apply industry-specific data and analytics techniques, and optimize every customer-level decision and

Artificial Intelligence
Albert Qian 0
3 approaches to strengthening your social benefits program

Social benefits are crucial government services, especially during downturns, helping families navigate uncertainty and survive. Today, citizens interact with government services online, from applying for benefits to making appointments. This was particularly beneficial during the COVID-19 pandemic, allowing services to remain accessible while maintaining social distance. However, going digital also

Artificial Intelligence | Risk Management
Kristi Boyd 0
Understanding AI governance

AI governance is an all-encompassing strategy that establishes oversight, ensures compliance and develops consistent operations and infrastructure within an organization. It also fosters a human-centric culture.   This strategy includes specific governance domains such as data governance and model governance, necessary for a unified AI approach. Why AI governance matters  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
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,

Machine Learning
Marinela Profi 0
4 strategies to optimize costs of large language model deployment

While large language models (LLMs) have become synonymous with advanced AI capabilities, their integration into various business and technological domains is often accompanied by significant costs. These costs arise from the extensive computational resources required for training and running these models. However, traditional natural language processing (NLP) techniques offer a

Analytics
Erica Prentice 0
5 practices we can learn from Ohio educators on data driven collaboration

Educators in Ohio from Jackson City Schools and the Gallia-Vinton Educational Service Center (ESC) are using SAS Education Visualization and Analytics Solution (EVAAS) for K-12 to enhance data-driven problem-solving for students. In a recent SAS customer success story, Changing the Data Conversation in Ohio Schools, the administration from Jackson Middle

Analytics | SAS Events
Alison Bolen 0
Georgia-Pacific VP on building resilience in the era of disruption

If the last few years have taught us anything it’s this: business disruptions are not rare events. They are the norm. Today’s business leaders are grappling with logistics nightmares, economic upheaval, evolving consumer preferences, rapid technological advancements, regulatory changes, and armed conflicts. While it’s not possible to plan for every

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