As someone deeply involved in the world of data science and artificial intelligence, I've seen firsthand how AI and machine learning have rapidly evolved from abstract concepts into indispensable tools shaping our everyday lives and industries. Across health care, finance, marketing and cybersecurity, these technologies are not merely enhancing operations
Developers are trying to help AI to speak all the world’s languages, but it's a complicated journey. While there are around 7,000 languages spoken globally, digital technology primarily revolves around just a few. English dominates over half of all written content online, even though only around 16% of the global
Synthetic data has become a valuable resource in data science and machine learning. Superior quality, reliable synthetic data facilitates analysis and iteration at scale while mitigating privacy concerns associated with real data and can fill gaps where real data is scarce. Note, however, that “good” synthetic data is not defined
Having excellent skills in math is an advantage in a world increasingly driven by technological change. It’s a key to opening doors to high-paying careers and opportunities. Research by the Urban Institute shows that students equipped with advanced math skills earn higher wages throughout their lives. With jobs in data
AI agents are the tech trend of the moment. It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not
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,
Every year, as Data Privacy Week sharpens the focus on protecting personal information, I’m reminded of a customer event a major North American bank hosted at SAS world headquarters. The bank’s chief data officer led a roundtable discussion on generative AI (GenAI) with a group of esteemed data and AI experts. The
What happens if an employee unknowingly enters sensitive information into a public large language model (LLM)? Could that information then be leaked to other users of the same LLM? For example, if you ask ChatGPT or Claude to read and summarize a confidential contract, a patient record or a customer
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
Fraud knows no boundaries. It’s one of the biggest challenges related to tax governance around the world. Tax crimes have serious consequences – tax losses, tax base erosion, national security risks and economic disruption. The effect is far-reaching. Governments are strained to fill the gap between revenues and spending and
Ever since generative AI burst onto the scene, it has sparked a whirlwind of ethical concerns. Unlike traditional AI, which typically analyzes and makes predictions based on existing data, GenAI creates entirely new content – videos, text, audio, code and more. This creative power introduces a new level of risk,
In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization?
Your zip code can have just as much of an impact on your health as your DNA. In a recent podcast episode with Joyanna Gamble-George, MHA, PhD, and Karriem Watson, DHS, MS, MPH, the above statement didn’t just stop us in our track – it reshaped the entire conversation. As
Fantasy sports are all about making the right calls—do you trust your gut, or do you trust the data? In fact, sports and data are a powerful combination and nowhere is that more evident than in the world of fantasy sports. Whether it's the excitement of the Premier League or
In the ever-expanding universe of AI, one concept has been steadily gaining ground: Human-out-of-the-loop AI. This term encapsulates a profound shift in how we interact with technology, prompting us to reconsider the boundaries between human and machine intelligence. But what does it entail? And what implications does it hold for
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
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
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
“Generative AI is essentially just a subcategory of AI; it’s not that new algorithms have been invented.” Marinela Profi, AI Product Strategy Lead at SAS, says it up front and directly in her most recent podcast interview. “It takes a variety of data points, code, images and then, based on
Presentation skills are an often-overlooked tool in the data scientist's box, and there's nothing like a room full of police to drive home the message that not everyone is a data geek. Police officers have a more visceral job than data scientists. Formulae, algorithms and methodologies aren't relevant to their
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
I've been fortunate to work on advanced analytics, machine learning and AI for more than 25 years. It’s more than a job. It’s my passion. So naturally, I was very interested in tuning into Microsoft AI CEO Mustafa Suleyman’s TED talk, What is an AI anyway? From my perspective, Mustafa
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
Well, there's another plot twist in the Google third-party cookie deprecation saga. After years of banter and shifting deadlines, Google has decided to abandon its plans to phase out third-party cookies from Chrome. What does this mean for marketers? Even though third-party cookies aren't being removed, Google is planning to
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
Digital banking, big tech and data privacy are all contributing to a shift in the Scandinavian banking scene, according to Tom Palving, Center of Excellence Lead for Digital Communication and Sales Loyalty at Jyske Bank. As a result, says Palving, traditional banks are facing a number of challenges, including: Customers
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
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.”
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,
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
