Can insurers use AI to earn trust while preparing for the future?
There's a lot to gain for insurers that move fast enough to adopt promising applications of trustworthy AI.
Artificial Intelligence
Streamlining government regulatory responses with natural language processing, GenAI and text analytics
Imagine if your job was to sort a massive pile of 40,000 stones into about 200 buckets based on their unique properties. Each stone needs to be carefully examined, categorized and placed in the correct bucket, which takes about five minutes per stone. Fortunately, you’re not alone but part of
Peer review sites praise SAS® Viya® as a top AI product
Customers are buzzing with stories of how SAS Viya has transformed how people work with AI, data and analytics. But where are these stories coming from? Users across various industries have shared their experiences, highlighting the impact SAS Viya has had on their productivity, decision making and overall work experience.
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
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
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
Global banking's generative AI evolution
While no one currently alive witnessed the beginnings of the Industrial Revolution in mid-18th century Britain, we’re all now spectators and participants in the AI revolution – AI is accessible and entrenched everywhere. While AI is not new, 2023 ushered in a tsunami of AI innovation with the emergence of
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
Charting ethical excellence: Navigating the question phase of AI development
As organizations infuse trustworthy practices into the fabric of AI systems, remembering that trustworthiness should never be an afterthought is important. Pursuing trustworthy AI is not a distant destination but an ongoing journey that raises questions at every turn. For that, we have meticulously built an ethical and reliable AI
Can you believe it? 3 tips for disclosing and consuming AI-generated content
Let me ask: did you believe Facebook CEO Mark Zuckerberg really boasted about the company’s power in a 2019 video, saying, “Imagine this for a second: One man, with total control of billions of people’s stolen data, all their secrets, their lives, their futures.” The video of Zuckerberg purportedly saying