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Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using SAS Optimization. In this post, we extend that discussion by exploring how the Ant Colony Optimization (ACO) metaheuristic can be applied to the same problem
For 50 years, SAS has worked alongside organizations tackling some of the world’s most complex challenges. While the technology has changed dramatically, one thing remains constant: our customers’ commitment to solving problems, improving outcomes and making a meaningful difference. In the first half of 2026, we shared 26 new customer
Organizations know AI is important. They’re investing in it, encouraging teams to use it and looking for ways to scale its value. But many organizations are still struggling to turn that priority into governed, scalable action. Leaders are left scrambling to feel confident about whether AI is being used responsibly, creating a widening gap between what leaders want from AI – innovation, efficiency and competitive
When people talk about gut health, they often jump straight to probiotics, skipping over the foundation — feeding existing gut microbes a wide selection of plant foods. A variety of plants offer different fibers, resistant starches, and polyphenols that fuel beneficial microorganisms and support a diverse, resilient microbiome. In recent
For years, the assumption has been that AI would primarily benefit the largest banks – those with the biggest technology budgets, the deepest talent pools and the resources to experiment at scale. But AI may be creating a different kind of competition. While large banks continue to invest billions in
What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so? It’s an uncomfortable question. But it sits at the center of nearly every conversation about productivity, automation and the future of work. Across industries, work is increasingly framed in terms machines can understand: outputs, efficiency gains,
Pareto charts are used by quality engineers to visually display a set of causes that produce defects in a manufacturing process. The chart is based on the famous Pareto Principle (the 80/20 rule), which states that 20% of the causes often produce 80% of the defects. If you focus on
Conference demos often struggle with the same challenge: showing people what technology can do without asking them to sit through another product presentation. At SAS Innovate 2026, SAS partner Notilyze took a different approach. Rather than leading with a traditional demonstration, Notilyze showcased an interactive soccer game that encouraged attendees
Fifty years later, Barry Merrill still remembers where it all started. In an interview, Merrill reflected on discovering SAS through a small notice in Datamation magazine. At the time, the software was new, largely unknown and available for $100. "North Carolina State University's statistics department announces the availability of the
A recent article discussed Pareto charts and how to create them in SAS. A Pareto chart is used in quality control to identify the most likely reasons that a manufacturing process produces defective items. Suppose there are k different reasons why a process can fail, and you intend to randomly
SAS Innovate 2026 delivered an engaging experience for attendees, blending inspiring keynotes, practical learning and meaningful networking in a setting that celebrated innovation and connection. Through keynote presentations, hands-on learning and conversations with peers, attendees left with fresh ideas, stronger relationships and renewed excitement about what’s possible with data and
Learn how banks can combine customer insights, centralized decisioning, and agentic AI in SAS Viya to deliver more consistent, explainable, and personalized customer interactions across every channel.
6月は梅雨の季節です。雨の日が続くと、外出を控えたり、家で過ごす時間が長くなったりしますよね。気づけば、人と直接会う機会が少なくなっている方もいるのではないでしょうか。 そのような時期だからこそ、人とつながり、学び続けることの大切さを改めて感じます。 オンラインでの交流やメール、SNS、動画など、場所や時間、距離や天候に左右されることなく、人や知識とつながる手段は、今や私たちの身近に数多く存在しています。 SAS Japanは、ソフトウェア、エデュケーション、コンサルティングを事業の柱としています。その中でエデュケーション部門（JPN EDU）では、「コース」を基本単位として、さまざまな教育コンテンツを提供しています（トレーニングコース詳細とスケジュール | SAS）。また、学びたい方が必要なタイミングで情報に出会えるよう、コンテンツの提供だけでなく、情報の届け方にも力を入れています。 JPN EDUでは、コースの認知と理解を高め、トレーニングへの参加を促進するために、人的な接点に加えて、メール、ブログ、SNS、YouTube、Webページなどを組み合わせて情報を発信しています。受講を検討している方、現在学習中の方、継続的にスキルを高めたい方と、より自然につながることを目指しています。主なチャネルは以下の通りです。 ・Newsletter（メール） ・ブログ: https://blogs.sas.com/content/sasjapan/ ・X（旧Twitter）: https://twitter.com/sasjapan ・Facebook: https://www.facebook.com/SASJapan/ ・LinkedIn: https://www.linkedin.com/company/sas/ ・YouTube: https://www.youtube.com/@SASSoftware ・Webページ: https://www.sas.com/ja_jp/news.html 梅雨の時期に外出の機会が減っても、学びの機会まで閉じる必要はありません。SAS EDUは、さまざまなチャネルを通じて、学びたい方と情報をつなぎ、必要なタイミングで次の一歩を見つけていただけるよう取り組んでいます。雨の日のひとときに、ぜひ気になるチャネルからSASの学びに触れてみてください。 ※日本語の「コース」は、一連の教育プログラムや課程を指す場合があります。たとえば、修士コースや博士コースがその例です。一方、米国では日本でいう「講義」や「科目」にあたる単位を「course」と呼ぶことが一般的です。SASでは、この後者の意味で「コース」という言葉を使用しています。 2026年6月末 相吉
AI adoption continues to accelerate, but not everyone approaches AI the same way. Some people experiment with every new tool they encounter. Others prioritize governance, trust and oversight. Some focus on business outcomes, while others are driven by curiosity and exploration. These differences matter. How you engage with AI influences
AI agents are moving beyond individual productivity and into government operations. According to Gartner, at least 80% of governments will deploy AI agents to automate routine decision-making, enhancing efficiency and service delivery by 2028. Because of this, government leaders are challenged to determine where they can deliver value with AI agents while maintaining public trust. Their