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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
Lisa Allred, Senior Program Manager in Work/Life, is joined by her adult child, Finn Draper. Finn is a non-binary therapist at Three Oaks Behavioral Health in Wake County. This week is Transgender Awareness Week. If you want to find activities in your community, check with your local LGBTQ+ Center. In
Insurers are racing to adopt GenAI, despite concerns. See where the industry is headed.
In a correlation analysis, it is common to consider the correlations between all pairs of numerical variables. That is, if there are k numerical variables, most people examine the complete k x k matrix of correlations. This matrix is symmetric and has 1s on the diagonal, so more than half of the
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
As consumers increasingly embrace a mobile-first lifestyle, businesses across various industries – from retail and banking, to insurance and telecommunications – are under pressure to create personalized and engaging customer experiences. The ability to reach customers through the right channel at the right time is essential for enhancing customer engagement,
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
수많은 산업에서 중추적인 역할을 맡게 된 클라우드 컴퓨팅은 조직이 분석과 머신 러닝 및 AI의 힘을 활용하여 인사이트를 얻고 혁신을 추구할 수 있도록 도와줍니다. *이 글은 Spiros Potamitis 가 작성한 내용을 SAS코리아에서 번역한 것입니다. 그러나 클라우드 컴퓨팅의 급속한 확대로 인해 클라우드의 탄소 발자국 역시 크게 증가했습니다. 알기 쉽게 비교하자면, 클라우드 컴퓨팅의
Antes de vir para o SAS, nosso Head de vendas para contas estratégicas, atuava em grandes bancos, como Santander e Bradesco. Foi quando Vitor Vicente se aprofundou em temas relacionados ao SAS, como CRM analítico, gestão de risco, entre outros. Na época, ele sonhava em trabalhar no SAS e, em
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 is estimated that over 2 million new cases of cancer will be diagnosed in the US this year. Over 40% of those cases could be prevented through lifestyle changes. The foods and beverages that we consume on a regular basis can either increase or decrease our risk for cancer.
Balancing a career and raising a family is a juggling act, and we’re proud to support parents with on-site childcare, a generous childcare subsidy, family-friendly programs and industry-leading workplace flexibility to make life a little easier. Casey Hensley, HR Business Partner, experienced this support firsthand as she and her husband
A previous article discusses the MakeString function, which you can use to convert an IML character vector into a string. This can be very useful. When I originally wrote the MakeString function, I was disappointed that I could not vectorize the computation. Recently, I learned about the COMBL function in
Decisores em diversas indústrias já sabem que a implantação de grandes projetos de analytics, IA e dados tem se tornado cada vez mais estratégica para o sucesso dos negócios. Porém, a execução destas iniciativas requer atenção em pontos cruciais, que vão desde a identificação dos objetivos até a adoção e
SAS' Jennifer Hargrove introduces the SAS Medication Adherence Risk model, a way to identify patients at high risk of being non-adherent to their medication therapy so that interventions can be provided to help patients remain adherent.