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
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.
Where GPT-4o is concerned for computer vision, SAS' Jonny McElhinney, Julia Florou-Moreno, and Priti Upadhyay advocate a trust-but-verify approach.
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
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.
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
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
생성형 AI는 우리의 업무 환경과 사회를 변화시키고 있습니다. 사람과 기술이 상호작용할 새로운 방법을 제시하며 상상을 능가하는 속도로 영향을 끼치고 있죠. 최근 실시한 조사 결과는 생성형 AI에 대한 흥미로운 시각을 제시하고 있는데요, 기업 의사결정자들이 체감하는 생성형 AI의 해결 과제와 기회를 동시에 확인하실 수 있습니다. 대다수의 응답자는 GenAI를 통해 직원 만족도가 향상되었고(82%),
No início de um novo ano, organizações tipicamente fazem uma reflexão sobre novas avenidas de crescimento, e pensam em como aprimorar o que já está dando certo dentro de casa para gerar novas fontes de receita. Neste debate, é inevitável passar por temas relacionados à inteligência artificial (IA). Mas como
