In order to stay competitive, businesses today demand agility, efficiency, and data
integration. Getting the right data to the right business leader in a format they can understand to make better decisions can mean the difference between productivity, regulatory compliance and profitability or recalls, regulatory fines, and shareholder dismay. But while many of these workloads have historically been addressed by legacy SAS programs, the need for AI innovation is driving a new wave of SAS modernization efforts.
SAS legacy end-of-Life and being stuck with proprietary technology
It is public knowledge that SAS Institute has been aggressively pushing customers to migrate from SAS’ legacy on-premise technology to SAS Viya, a new cloud-based platform. Unfortunately, SAS Viya introduces a new proprietary language and requires new cloud expertise, all while foisting additional cost and risk on customers embarking on this transition.
Combine the observations above with current customer sentiments like “SAS is a huge pain in the ass when it comes to data manipulation” and the knowledge that is was developed back in the 1970’s and you have all the justification you need to evaluate alternative approaches.
Need for AI innovation drives SAS modernization
Industry analyst firm Gartner has a series of on-demand webcasts titled “The Fundamentals of Generative AI for Your Organization: 4-Part Series”. Spend time with this series to discover why AI innovation is fast becoming a need to have and specifically learn:
Traditional software tools like SAS, while once state-of-the-art, now act as relics in an era increasingly dominated by no-code AI solutions based on open-source and managed in the cloud. So SAS modernization is now the rally cry of business and technical executives alike.
Removing SAS dependencies while driving business innovation
While there is some debate on who to attribute the quote “insanity is doing the same thing over and over again and expecting different results,” it is no less accurate to observe that once you are locked into a single proprietary vendor solution you will perpetuate the cycle of dependency and miss out of the competitive gains at the speed of innovation. By definition of modernization, you should be looking at new approaches for AI innovation, intelligent cloud platforms and secure/flexible open-source approaches.
In parallel you will be able to focus critical technical resources on innovation, while business leaders can enjoy direct access to the critical information they require for daily decision-making.
Look no further than UBIX for your SAS modernization initiatives and realize the 5 following benefits:
Achieving SAS modernization is easier than you may think
The emergence of generative artificial intelligence (GenAI) and reinforcement learning has captured the attention of decision makers who can make sense of data in ways that were never thought possible. UBIX would like to offer you a free eBook titled “5 Steps to AI Business Transformation Success” to help better understand the nuances of these emerging concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini AI Readiness Workshop, you can contact one of our AI experts today.