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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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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Artificial Intelligence

Danielle BatesJune 6, 2024 0

Banking on GenAI: 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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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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Analytics | Artificial Intelligence | Innovation

Jonathan MoranMarch 28, 2024 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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English

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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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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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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Artificial Intelligence | Predictions

Andrea CovinoJanuary 19, 2024 0

Generative AI: A way of destruction or disruption for the public workforce in 2024?

Whether for better or for worse, many people agree that generative AI is a game changer that will revolutionize the way we live and work. Optimists believe that generative AI is an opportunity to improve and expand our technological knowledge. At the same time, catastrophists fear that AI in general

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Artificial Intelligence | Innovation

Lexi RegaladoJanuary 9, 2024 0

The future of patient care: How AI is changing medicine

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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Health Care

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

Artificial Intelligence

Melissa JantjiesNovember 30, 2023 0

Trustworthy AI for retail: Balancing innovation and responsibility

The significance of upholding trustworthy AI standards transcends multiple industries. Within retail, AI can potentially wield considerable influence in driving customer experiences, optimizing operations, and shaping business strategies. However, it is crucial to ensure that AI technologies are developed and deployed in an ethical manner, prioritizing human well-being and reflecting

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Retail

Data Management | Innovation | Predictions

Kristi BoydNovember 27, 2023 0

A practical approach to creating, reading, updating and deleting data in 2024

AI became the unofficial word of 2023 and the craze is likely to continue into 2024 as new creative applications and uses of AI emerge across industries and sectors. But before organizations invest too many resources into foundational AI models, leadership should ensure that the organization has a firm grasp

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Artificial Intelligence

Reggie TownsendNovember 2, 2023 0

Talking AI in Washington, DC

I recently had two incredible opportunities: to visit the White House for a landmark executive order signing and to make remarks at a US Senate AI Insight Forum. The AI Insight Forum was part of a bipartisan Congressional effort to develop guardrails that ensure artificial intelligence is both transformative and

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English

Government

Artificial Intelligence | Data for Good

Vrushali SawantOctober 31, 2023 0

Accountability in AI: A key ingredient for trust

The relationship between trust and accountability is taking center stage in the global conversations around AI. Accountability and trust are two sides of the same coin. In a relationship – whether romantic, platonic or business, we trust each other to be honest and considerate. Trust is fueled by actions that showcase

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Artificial Intelligence | SAS Events

Caslee SimsOctober 26, 2023 0

Strategies for maintaining trust in our AI-driven world

In this era of technology dominated by AI and rapid advancements, trust has emerged as a critical pillar of our interconnected world. As Reggie Townsend, Vice President of the Data Ethics Practice at SAS, explains, we must understand that trust is essential for meaningful relationships and the functioning of civil

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English

Artificial Intelligence

Kristi BoydSeptember 25, 2023 0

The road to trustworthy AI: Strategies for robustness

Most of us have experienced the annoyance of finding an important email in the spam folder of our inbox. If you check the spam folder regularly, you might get annoyed by the incorrect filtering, but at least you’ve probably avoided significant harm. But if you didn’t know to check spam,

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SAS Events

Caslee SimsSeptember 21, 2023 0

SAS leaders explore the latest in tech with theCUBE

When tech experts want to hear directly from thought leaders in the industry, they turn to theCUBE for professionally produced interviews from wherever the global enterprise tech community is gathering. During SAS Explore in Las Vegas, theCUBE stopped by the Innovation Hub to interview a few SAS leaders and get their take

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Analytics | Artificial Intelligence

Reggie TownsendSeptember 12, 2023 0

Striking the balance: Navigating the pitfalls of AI technocentrism

Embracing AI is wonderful. From a practical business perspective, though, there are limits. This issue is broader than AI. However, I’ll constrain the conversation to that for now, given the attention AI is getting these days. Yes, some processes are undoubtedly good candidates for automation, but avoiding “technocentrism” is critical to

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Analytics

Adam TromanSeptember 8, 2023 0

Why there are more questions than answers when it comes to AI

AI has captured the general public's imagination, so it was no surprise that it was nearly the only topic of conversation among data professionals at this year’s Chief Data and Analytics Officer (CDAO) conference in London. Of course, AI and machine learning are not new concepts for those working in

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Analytics | Artificial Intelligence | Data for Good

Vrushali SawantJune 23, 2023 0

Inclusivity: A guiding principle for responsible innovation

AI – just like humans – can carry biases. Unchecked bias can perpetuate power imbalances and marginalize vulnerable communities. Recognizing the potential for bias is one of the first steps toward responsible innovation. Doing so allows users to include diverse needs and perspectives in building inclusive and robust products. Through

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Analytics

Kristi BoydMay 31, 2023 0

Understanding the role of privacy and security in responsible innovation

As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.

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Artificial Intelligence | Equity and Responsibility

Reggie TownsendMay 25, 2023 0

Fostering AI common sense: The need for critical thinking and healthy skepticism

As AI rapidly advances over the next several years, I’ve been fortunate to have an active role in helping to guide a responsible path forward when it comes to technology’s impact on our daily lives. Currently, this role includes serving as Vice President for the SAS Data Ethics Practice, as an

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English

Analytics | Data Culture and Fluency | Data for Good

Cindy TurnerMay 23, 2023 0

How passion and purpose power business change

Unleash innovation with diverse viewpoints, creative thinking and personal passions.

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Analytics | Artificial Intelligence | SAS Events

Alison BolenMay 9, 2023 0

SAS Innovate kicks off with productivity, performance and trust

What do you get when you mix leaders from every industry, a hall-of-fame basketball coach and a best-selling author together in three days? SAS Innovate in Orlando, of course. As organizations navigate this changing economic landscape, many are turning to analytics and AI to help them stay ahead of the

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Analytics

Kristi BoydMay 1, 2023 0

Trustworthy AI: 3 reasons we need it now

Who is responsible for ensuring that new AI technologies are fair and ethical? Does that responsibility land on AI developers? On innovators? On CEOs? Or is the responsibility more widespread? At SAS, we believe that it is everyone’s duty to innovate responsibly with AI. We believe that adhering to trustworthy

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Data Management

Reggie TownsendApril 27, 2023 0

Data quality: The foundation for trustworthy AI

I see the term resilience in a lot of business literature these days. Intuitively, it makes sense. After a pandemic, global supply chain disruptions and resulting economic fragility, executives understandably consider adaptability, durability and how best to operate with a strength of character – all attributes that define resilience. Many

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Analytics | Data for Good | Innovation

Jerry WilliamsApril 21, 2023 0

AI and sustainability: Balancing innovation with environmental impact

Artificial Intelligence (AI) can drive environmental innovation (EI) in sustainability and reduction of carbon emissions. However, the use of AI itself also comes with environmental costs. The high computational requirements of AI-based systems lead to significant energy consumption, contributing to greenhouse gas emissions. The energy consumption of AI systems can

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Energy & Utilities