Artificial Intelligence | Innovation

Iain BrownMarch 24, 2025 0

Beyond the black box: How agentic AI is redefining explainability

Navigating the interpretability paradox of autonomous AI: Can we maintain trust and transparency without sacrificing performance? AI has rapidly evolved from simple, rule-based systems into sophisticated autonomous agents capable of making decisions without direct human oversight. These advanced systems, known as "agentic AI," go beyond basic automation to independently sense

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English

Artificial Intelligence | Innovation

Caslee SimsMarch 17, 2025 0

AI agents are here, but how autonomous should they be?

AI has been largely reactive for years: following human commands, assisting with tasks and providing insights based on predefined rules. But 2025 is shaping up to be the year of agentic AI, where AI agents exist to not just respond to human input but act independently. In the movie I, Robot, there's

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English

Artificial Intelligence | Innovation

Marinela ProfiMarch 11, 2025 0

AI agent governance: The new frontier of trustworthy AI

As AI agents gain autonomy, who governs their actions? How do we ensure they align with human values, ethical standards, and legal frameworks? The urgency of governance for AI agents AI is no longer just a tool – it is becoming an actor in decision-making processes. From AI research assistants

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English

Analytics | Learn SAS

Alexis MallisFebruary 28, 2025 0

Develop your AI literacy with SAS trainings

AI is pushing the boundaries of innovation. Understanding how it works isn’t just for tech experts; it’s for everyone. Whether you have a basic understanding or are looking to sharpen your expertise, SAS has developed AI and machine learning courses to help you understand why AI matters. By combining practical,

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English

Education

Artificial Intelligence

Alison PolitoJanuary 16, 2025 0

Strengthen your AI literacy with these key resources

After February 2, companies are legally required to ensure AI literacy for employees under the EU AI Act. The need for AI literacy goes beyond compliance. It is critical for cultivating innovation and competitiveness, aligning with industry best practices. AI will impact every industry, and employees need to be ready

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English

Advanced Analytics | Analytics | Artificial Intelligence

Sophia RowlandJanuary 9, 2025 0

Responsible AI Considerations for Language Models

AI is increasingly prevalent in our daily lives, and this trend is unlikely to change anytime soon. This comes with risks, but by understanding these risks, we can build AI systems that mitigate them.

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English

Artificial Intelligence | Data Management

Lindsey CoombsNovember 14, 2024 0

The new data frontier: Next-generation AI technologies and synthetic data

Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting

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English

Artificial Intelligence

Eduard SargsyanOctober 24, 2024 0

AI adoption in APAC insurance: Insights from a regional study

Investment in AI is an obvious target for the insurance sector. Insurers have always been interested in technology that helps detect and prevent fraud and improve underwriting efficiency while speeding processes and reducing – or at least not increasing – costs. But what is the reality in this highly regulated

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English

Insurance

Analytics

Heather HallettSeptember 16, 2024 0

Using social determinants of health to combat cancer disparities

The health care community is recognizing the importance of addressing cancer not just as a biological disease but as a multifaceted issue influenced by various social, environmental and economic factors. By incorporating social determinants of health (SDOH) into risk stratification models and utilizing trustworthy AI to eliminate bias, health care providers can

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English

Artificial Intelligence | Data Culture and Fluency

Vrushali SawantJuly 31, 2024 0

Model cards: The AI transparency label you need

Who has time to be a nutritionist between work deadlines and swim practice? Not this working mom! But my tiny human needs her fuel, you know? This is why I’m thankful for nutrition labels. A quick scan at the grocery store tells me if that cereal is all sugar bombs

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English

Analytics

Jonathan MoranJune 27, 2024 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

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English

Artificial Intelligence | Risk Management

Kristi BoydJune 19, 2024 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

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English

Artificial Intelligence | Equity and Responsibility | Risk Management

Franklin ManchesterJune 10, 2024 0

How insurance companies can use synthetic data to fight bias

Stop bias in its tracks – learn about the value of synthetic data for insurance.

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English

Insurance

Artificial Intelligence

Danielle BatesJune 6, 2024 0

GenAI In Banking: Wells Fargo leads a conversation on AI innovation

A recent SAS survey revealed that 80% of business leaders are anxious about GenAI's data privacy and security implications Owing to these and other concerns, Wells Fargo Chief Data Officer Brian Gibbons and an esteemed panel of AI experts, hosted by Wells Fargo Technology Banking, addressed an audience of the

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English

Banking

Analytics

Vrushali SawantMay 16, 2024 0

5 ethical questions to consider before making AI-driven decisions

So now you're ready to make decisions with your models. You’ve asked many questions along the way and should now understand what’s all at play. But how can you ensure these decisions are trustworthy and ethical? Transparency is crucial. Sharing the reasoning behind our choices in relationships, whether at home

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English

Analytics

Caslee SimsMay 7, 2024 0

Exploring generative AI's impact on ethics, data privacy and collaboration

Generative AI (GenAI) is booming. It’s not just a trend; it’s produced a seismic shift in how we approach innovation and technology. SAS Innovate 2024 has moved on from Las Vegas and is now on tour across the world. If you want a recap of what happened in Vegas or

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English

Artificial Intelligence

Davide PecchiaApril 29, 2024 0

Unleashing AI insights: 5 crucial questions for effective deployment

Deploying AI insights isn't just about pushing buttons and hoping for the best. The deployment phase is a pivotal moment where technology and ethics meet. When transitioning AI models from development to real-world use, prioritizing trustworthiness remains important. It’s not just about algorithms; it’s about how AI impacts people and

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English

SAS Events

Mark WoodApril 19, 2024 0

Focusing on trustworthy AI on day 2 of SAS Innovate 2024

Have you ever heard the saying, “Products that don’t perform won’t be trusted, and products that can’t be trusted aren’t worth the machines they’re coded on”? Maybe not, because I just made it up. But at SAS, as we continue to create products that perform and change the world, we

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English

Analytics

Steve MellgrenApril 11, 2024 0

5 key questions to ask when developing trustworthy AI models

They say trust is a delicate thing. It takes a long time to build trust. It’s easy to lose and hard to get back.   Trust is built on consistent and ethical actions. Therefore, we must be intentional when creating AI models. It's crucial to ensure that trustworthiness is embedded

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English

Artificial Intelligence | Innovation

Greg WujekApril 9, 2024 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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English

Life Sciences

Analytics | Artificial Intelligence | Innovation | Predictions

Cindy TurnerApril 5, 2024 0

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.

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English

Insurance

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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English

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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English

Artificial Intelligence

Vrushali SawantFebruary 28, 2024 0

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

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English

Analytics

Marinela ProfiFebruary 6, 2024 0

3 organizational strategies for using large language models with confidence

Large language models (LLMs) are at the forefront of today’s AI, not merely as technological marvels but as transformative agents reshaping how businesses innovate, operate and deliver value. Think of them as the wizards of words, capable of understanding language and transforming it in ways that benefit organizations. However, as

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English

Artificial Intelligence | Data Management

Sophia RowlandJanuary 31, 2024 0

Embedding responsible AI best practices within the model lifecycle

The National Institute of Standards and Technology (NIST) has released a set of standards and best practices within their AI Risk Management Framework for building responsible AI systems. NIST sits under the U.S. Department of Commerce and their mission is to promote innovation and industrial competitiveness. NIST offers a portfolio

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English

Artificial Intelligence

Lindsey CoombsJanuary 30, 2024 0

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

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English

Artificial Intelligence | Innovation

Lexi RegaladoJanuary 9, 2024 0

The future of AI in medicine: changing patient care.

Artificial intelligence (AI) is revolutionizing the way medical professionals deliver care and manage patient data. By harnessing the power of advanced algorithms and machine learning, AI applications contribute to more accurate diagnostics, personalized treatment plans and streamlined administrative processes. The integration of AI into health care is helping create a

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English

Health Care

Analytics | Artificial Intelligence

Keun-Tae KimDecember 8, 2023 0

성공적인 AI 구축의 필수 요건, Trustworthy AI 만들기

많은 사람들이 AI의 엄청난 잠재력에 대해 듣고 있으며 AI의 활용에 대해 높은 관심을 가지고 있습니다. 하지만, 최근 들어 AI에 대한 부정적 보도들이 많아지고 있으며, AI를 통한 의사결정에 대한 우려도 커지고 있습니다. AI를 도입하고자 하는 조직의 입장에서는 잘못된 AI의 적용으로 회사의 이름이 뉴스 헤드라인을 장식하는 것을 원하지 않습니다. 또한 차별이나 불공정한

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Korean

Artificial Intelligence

Vrushali SawantDecember 7, 2023 0

3 attributes of human centricity in trustworthy AI development

AI tools should, ideally, prioritize human well-being, agency and equity, steering clear of harmful consequences. Across various industries, AI is instrumental in solving many challenging problems, such as enhancing tumor assessments in cancer treatment or utilizing natural language processing in banking for customer-centric transformation. The application of AI is also

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English