Blogs

Data Culture and Literacy

Stories of how organizations can develop an enterprise-wide data culture and drive data literacy to improve decision making.

Artificial Intelligence | Customer Intelligence

Jenn ChaseApril 15, 2024 0

Adopting generative AI in marketing: strategies from a CMO

It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.”

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Advanced Analytics | Artificial Intelligence

David WeikApril 12, 2024 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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Cloud | Customer Intelligence | Innovation

Jay UpchurchApril 10, 2024 0

CIO to CIO: 5 focus areas in 2024

Some nights, as a CIO, I don’t sleep well. The reasons are probably similar to what gives my other CIO peers restless nights, too. Because AI and other technologies continue to advance at a dizzying pace, I’m constantly weighing the opportunities for technology to transform our business against the challenges

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Artificial Intelligence

Scott McClainApril 8, 2024 0

Synthesizing data – Putting the ‘generate’ in generative AI for life sciences

Synthesizing data? Who does that? Aren’t we supposed to be running the experiments and measuring things to produce real data? While generally true, there are scenarios in which the use of generative AI (GenAI) is beneficial. Let’s explore the benefits via “what if” scenarios. Before we begin, it’s important to

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Life Sciences

Curiosity | Data Culture and Fluency | Students & Educators

Alex CoopMarch 28, 2024 0

Generative AI creates coding language everyone can understand

The Co-Founder of Ladies Learning Code and Canada Learning Code talks about strides in Canadian computer science education, AI, the future of coding, and more. Companies use many legacy processes to empower their employees, and that's just one of the many barriers employees face in the workplace. Organizations that prioritize

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Artificial Intelligence

Steve MellgrenMarch 19, 2024 0

Consider these questions when managing data during AI development

Trustworthy AI is dependent on a solid foundation of data. If you bake a cake with missing, expired or otherwise low-quality ingredients, it will result in a subpar dessert. The same holds for developing AI systems to handle large amounts of data. Data is at the heart of every AI

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Analytics | Data Management | Predictions | SAS Events | Students & Educators

Alex CoopMarch 19, 2024 0

Gamification finds next-generation risk management talent

Careers in risk management can be rewarding. The disciplines are key to a broad range of industries. Risk management teases the analytical side of the brain and there is a clear line of contribution between the work and the organization's performance. Careers in risk management are also shrouded in mystery

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Insurance

Artificial Intelligence

Marinela ProfiMarch 14, 2024 0

The importance of data quality for large language models

Data quality is a cornerstone for integrating large language models (LLMs) into organizations. The adage "garbage in, garbage out" holds particularly true here. High-quality data is the lifeblood that ensures the accuracy, relevance, and reliability of the model's outputs. In a business context, this translates to insights and decisions that

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Machine Learning

Marinela ProfiMarch 12, 2024 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

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Artificial Intelligence

Marinela ProfiMarch 1, 2024 0

3 things you must understand about generative AI

Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets

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