It is no surprise that generative AI (GenAI) is quickly becoming a potent tool in the health and life sciences industry. There are numerous ways that AI and GenAI can help beat the rising tide of fraud. We can count on these new technologies to enable the ability to commit
The global hype cycle of AI, driven in large part by ChatGPT, is dying down and real-world artificial intelligence (AI) adoption and application are taking hold. Early adopters are reaping rewards, and AI leaders are driving significant change in their business models. Banking as a sector was quick to grasp
Insurers are racing to adopt GenAI, despite concerns. See where the industry is headed.
Fearmongers would have you believe that AI will replace us, but I truly believe there has never been a better time in history to be a developer. With the advance of artificial intelligence into generative AI (GenAI) and enhanced computing power, we stand on the brink of a new era
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
Synthetic data generation, as its name suggests, is one component of generative AI. With this technology, marketers can generate artificial data sets that share the attributes and characteristics of real customer data. As marketers continue to expand their use of both traditional AI and GenAI, synthetic data generation reduces the
It’s no surprise that MarTech in 2024 seemed to be dominated by GenAI, GenAI and … more GenAI. Perhaps this is a bit of an exaggeration, but you can’t deny this topic was a headliner in the MarTech space, along with AI and customer data platforms. Here are my top
Generative AI (GenAI) is here to stay – there’s no question about it. A recent SAS survey of 1,600 organizations found that 54% have begun implementing It, and 86% plan to invest in it within the next financial year. As organizations integrate AI into their workflows, a critical question arises:
"Generative AI (GenAI) initiatives should support broader public goals and needs," says SAS' Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, SAS Asia-Pacific Lead for Public Sector Consulting, said public
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
Remember the first time you held a smartphone in your hand? It wasn’t just a fancy phone – it was the beginning of a revolution. Before smartphones, we used separate calls, cameras, emails, and navigation devices. But almost overnight, this gadget transformed everything: how we communicate, consume media, work and
As businesses in the UK and Ireland rapidly adopt generative AI, strategic insights from the latest SAS study reveal the roadmap to successful integration and the hurdles to overcome. GenAI is rapidly transforming how businesses operate, innovate, and interact with customers and employees alike. However, as the technology proliferates, so
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,
Everyone is talking about artificial intelligence (AI) for a good reason. It’s already revolutionizing the world as we know it. And governments are well-poised to use AI to improve services and operations. But we can expect the AI conversation to shift into 2025. Attend any conference of government leaders, and
Governments and public health care services are trying to keep up with a zillion demands, needing to move at warp speed while dealing with some epic worries –like soaring customer service expectations, budgets tighter than skinny jeans, teams stretched thinner than a cartoon plotline, and workers who could really use
Before rushing to invest in generative AI (GenAI), organizations must pause and take a step back. GenAI is powerful and has shown potential to revolutionize multiple industries – but it’s not a silver bullet. Now that we’ve finally gotten past the hype phase, it’s time to look at the realities
When it comes to presenting at events like SAS Innovate on Tour, it’s never just a one-way street. No matter how many countries I visit, how many times I click through my slides, or how often I speak to a room full of people who love technology, I always learn
We often hear about cyberattacks, hackers, ransomware, and other nefarious deeds in the news, but not all data breaches are caused by third parties.
Foundation and domain models are transforming how businesses approach technology. These powerful tools are moving beyond the hype of GenAI, offering real solutions for a variety of tasks – whether generating text, creating visual content or even composing music. A new global survey of 1,600 organizations revealed critical insights into
When using LLMs, managing toxicity, bias, and bad actors is critical for trustworthy outcomes. Let’s explore what organizations should be thinking about when addressing these important areas.
An article published in Nature has the intriguing title, "AI models collapse when trained on recursively generated data." (Shumailov, et al., 2024). The article is quite readable, but I also recommend a less technical overview of the result: "AI models fed AI-generated data quickly spew nonsense" (Gibney, 2024). The Gibney
With all the technology changes coming in the next five years, what should organizations invest in first? The innovations keep coming and so do the 3 a.m. night sweats for decision makers. “How will we catch up when technology seems to change overnight, nearly every night?” It’s a surprisingly common
생성형 AI에 대한 전세계 기업들의 투자와 활용이 계속되는 가운데, 이와 관련된 흥미로운 조사 결과가 발표되었습니다. SAS가 최근 콜먼 파크스 리서치(Coleman Parkes Research Ltd.)에 의뢰한 전세계 조사에 따르면 생성형 AI를 가장 적극적으로 사용하고 있는 나라는 중국인 것으로 나타났습니다. 중국의 비즈니스 의사 결정자들은 자사 조직의 83%가 이 기술을 이용하고 있다고 응답했습니다. 이는
People have high expectations not only from their favorite brands but also from public services. How do you ensure the smooth handling of citizen requests? How do you set the right priorities? Fortunately, data analytics and AI are game changers for these government requests. In a previous blog, we discussed
Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.
As announced and demonstrated at SAS Innovate 2024, SAS plans to include a generative AI assistant called SAS Viya Copilot in the forthcoming SAS Viya Workbench. You can submit a text prompt (by putting it in a comment string) and the Copilot will generate SAS code for you. My colleagues
This summer, the buzzword on everyone's lips is generative AI. From tech conferences and industry panels to mainstream media and casual conversations, AI has taken center stage, driving innovation and sparking debates about its impact on our future. One of the most exciting developments in AI is the growing impact
GenAI's creative and analytical capabilities, integrated with IoT devices' connectivity and data insights, could lead to remarkable advancements. The market could become a mega-value creator, potentially exceeding $4.5 trillion by 2030. Discussions around this convergence were the focal point of a panel during the 2024 IoT Slam held at SAS
“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
In a previous blog post, we discussed how generative AI (GenAI) is experiencing unprecedented popularity, with organizations across various industries eager to unlock its immense potential. We also highlighted potential use cases organizations must identify to unlock GenAI's full potential with credit customer journeys. These can include using chatbots for
