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
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
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
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
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
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
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
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
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
If your organization aims for longevity, resilience is a muscle you want to build. The 5 Resiliency Rules: Speed and agility Data culture and literacy Curiosity Innovation Equity and responsibility I know resilience has been a hot topic in recent years, and for good reason – it can make or
