Every day, AI is making choices that shape lives, industries and the future. But can we trust those choices? Organizations are making huge investments in AI, and it’s changing how decisions are made. But without clear results and proven value, investing in these technologies may be a failure. In fact,
Shrinking budgets, rising citizen expectations and increasingly sophisticated fraud schemes have stretched resources thin. Meanwhile, outdated systems and manual processes make it harder for frontline workers to keep pace. According to a global study commissioned by SAS, a striking 85% of policymakers and public sector leaders cite the fight against
SAS가 고객 여러분에게 더 가까이 다가가기 위해 지난 6월 10일 여의도 페어몬트 앰배서더 서울에서 'SAS 이노베이트 온 투어' 행사를 개최했습니다. 이 행사는 지난 5월 미국 플로리다주 올랜도에서 열린 SAS의 연례 컨퍼런스 ‘SAS 이노베이트 2025(SAS Innovate 2025)’의 핵심 내용을 각국의 고객들께 직접 전해드리기 위해 마련된 자리로서, 올해는 서울을 포함한 15개 주요
A hands-on introduction to SAS Notebooks in SAS Viya Workbench, showing how to combine code, SQL, and Markdown for a more productive and interactive coding experience.
AI is only as powerful as the data behind it. You’ve probably heard the phrase “garbage in, garbage out.” That’s always been true in analytics, but in today’s AI-driven world, the consequences of poor data are greatly amplified. Flawed models, biased predictions and opaque decision-making all trace back to one
Government productivity and transparency are hot topics, with trust in public institutions declining worldwide and global public debt levels nearing 100 percent of global gross domestic product. Managing fraud, waste and abuse (FWA) is key to public sector productivity. The British Government estimates that £39.8 billion to £58.5 billion of
This guide shares the top keyboard shortcuts to boost productivity in VSCode, especially when using SAS Viya Workbench with Python or SAS notebooks. It includes built-in commands for navigating and editing notebooks, plus instructions for creating custom shortcuts tailored to your coding workflow.
Reading McKinsey's article How Banks Can Supercharge Technology Speed and Productivity, released around the same time as SAS' From Data to Decision: Increasing AI Productivity with SAS® Viya®, sparked an epiphany for me. My last job before entering the technology industry was as a product manager at a super-regional bank.
Het data- en AI-platform SAS Viya 4 biedt krachtige voordelen: verbeterde prestaties, hogere productiviteit en meer vertrouwen. Dankzij de volledig cloud-native architectuur is het platform bovendien uiterst flexibel. Voor bestaande SAS-klanten is echter eerst een migratie nodig om optimaal te profiteren van deze voordelen. SAS-partner Notilyze faciliteert deze overgang op
In 2012, Harvard Business Review declared the data scientist the sexiest job of the 21st century. Here’s what we knew at the time: big data was (and still is to this day) an enormous opportunity to make new discoveries. We were in the boom of user-generated content from social platforms,
The search to maximize our own productivity is never-ending. We all want to be more efficient in our work and carve out more time with loved ones. As you assess data and AI technology to automate processes and maximize efficiency, you may wonder if it’s truly possible for you or
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
Everyone has heard it: Your organization needs to be more productive. But how? Businesses are constantly challenged with adopting AI technology, managing rising costs and closing talent gaps. While AI can boost performance, the need for faster, more performant models is often stymied by inefficient handoffs between key roles within
AI is no longer a futuristic concept – it’s a mainstay in our daily lives, both personally and professionally. In the business world, AI is revolutionizing workflows, driving efficiency and speeding up processes. However, as organizations rush to benefit from this modern technology, they must prioritize the ethical and transparent
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
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
More digital channels are bringing greater connectivity and more data is bringing added complexity to organizations. All this can feel chaotic or like a fog of information warfare. As a result, the pace of disruption and data expansion require visual tools that accelerate data wrangling and modeling. To overcome complexity,
Whether working as a business analyst, data scientist or machine learning engineer, one thing remains the same – making an impact with data and AI is what really matters. Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A
As more businesses embrace their digital transformation journeys, it’s easy to get lost in the cloud hype and overinflate the possibilities of cloud alone. Cloud migration is not a one-stop shop to solve all of an organization’s challenges. Instead, technology leaders need to adopt a cloud-smart mindset to maximize value,
