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
SAS CMO Jennifer Chase and a panel of chief marketing officers offer insights on how they’re weaving AI into the business at American Marketing Association event Recent Salesforce research highlights a fact that didn’t seem to surprise the full-house audience at an American Marketing Association Annual CMO panel at SAS
Il settore assicurativo è da anni oggetto di attenzione a causa del cosiddetto “fair bias”. In effetti, i dati di scarsa qualità nelle pratiche commerciali e i pregiudizi sono un problema ben noto per le compagnie assicurative. Purtroppo, il risultato è l’emarginazione di un segmento della popolazione. Alcuni esperti del
Forsikringsbranchen er blevet undersøgt i årevis på grund af "fair bias"-praksis. Faktisk er ukorrekte data i forretningspraksis og bias velkendt i forsikringsbranchen. Resultatet er desværre marginaliserede befolkningsgrupper. Nogle brancheeksperter - herunder en tidligere forsikringsdirektør i USA - mener, at diskrimination vil blive det største problem inden for AI-regulering. Det skyldes,
Die Versicherungsbranche steht seit Jahren wegen der „Fair Bias“-Praktiken unter Beobachtung. Schlechtes Datenmaterial und Bias sind in der Tat bekannte Probleme im Versicherungswesen. Dies führt leider zu einer Ausgrenzung von Bevölkerungsgruppen. Einige Branchenexperten, darunter auch ein ehemaliger Versicherungskommissar in den USA, befürchten, dass das Thema Diskriminierung im Zusammenhang mit der
Stop bias in its tracks – learn about the value of synthetic data for insurance.
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
Synthetic data generation has intrigued across industries for its many use cases, including fraud detection, clinical trials, worker safety and law enforcement. One of the main benefits is the low cost of creating synthetic data, which is often cheaper than collecting actual demographic, psychographic or behavior-based information. With such data,
Step into the vibrant, insightful platform that is theCUBE, where industry leaders don’t just talk tech; they unpack AI’s impact on our world. Eight quotes aren’t enough to describe all the knowledge shared by SAS leaders during theCUBE’s session at SAS Innovate 2024. But this blog post would go on
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%),
Remember when the popular catchphrase, “We have an app for that,” was the new big thing? You might not if you’re as young as the NC State University students who recently participated in the 11th annual SAS-NC State Design Project, but back when we could still count 21st-century years in
Generative AI (GenAI) is in its most popular era and many organisations across industry are looking for ways to unlock its potential value. McKinsey's projections suggest that GenAI could add a staggering $2.6 to $4.4 trillion in value to the global economy. In fact, banking is the number one industry
Across the world, investigators and law enforcement officers are tackling a rapidly evolving and expanding workload fueled by an increase in complex modern-day crimes. As technology alters the type and methodology of the crime itself – the evasion of tax payments, theft of public funds, erroneous disbursement of benefits, gaming
The ancients’ practice of publicizing set-in-stone personal records would run anathema to modern data privacy laws. These days, in lieu of using contemporary personally identifiable records, I anonymized a 4,000-year-old tax record from ancient Babylon to describe three principles for effective data anonymization at scale: Embracing rare attributes: values and
When we think of something “new”, we tend to picture something clean, shiny, or efficient. The new normal of fraud only checks one of those boxes, and unfortunately, that’s “efficient.” Today, scams and cyber attacks are persistent, and part of a larger ecosystem of phishing and hacking attacks by both
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
SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?"
SAS® pairs perfectly with data and AI and many at SAS Innovate agree. SAS Innovate host and technical training consultant Dominique Weatherspoon welcomed attendees at the Aria in Las Vegas. SAS Chief Technology Officer Bryan Harris dove into a few important topics including innovation inspired by human need, how SAS
Over the past year, business leaders and technical minds have delved into the potential of generative AI (GenAI) beyond creative tasks like writing fun poems or generating silly images. We’ve been part of these conversations, actively exploring how GenAI can be used to help organizations manage their data, derive insights
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.”
