SAS foresees 2025 as the year where "the full potential of AI will be demonstrated" in the business sector

Nov. 19 (Portaltic/EP) –

SAS has advanced that the next year 2025it will be the year where “the full potential of AI will be demonstrated”, above all, applied to the business field, giving special emphasis to use of quality data and More specialized LLMsall this under a ethical approach to generative AI.

The company specialized in data and AI has clarified that, although generative AI has been one of the most prominent technologies in recent years, for now, It has only generated “more expectations than concrete results.”

In this framework, in order to provide a preview on how this technology will advance Going forward, SAS has analyzed some of the main trends and predictions that will define the next year 2025, with the focus on the use of AI at the business level.

Thus, according to their analysis, the technological bets on 2025 as the year where “the full potential of AI will be demonstrated.” Specifically, he pointed out that starting next year, organizations will begin to implement this technology “efficiently”, in order to generate more business value.

To implement AI, companies will choose to simplify its use and review their strategies, rules and models. Along with this, will focus on using large language models (LLM) and small specialized language models (SLM) to perform more specific tasks easily.

Following this line, SAS has also noted that, over the next year, as generative AI becomes a type of “More conventional” AI, The organizations will proceed to implement it “comprehensively in all its modalities.” As a consequence, they will be able automate the most routine tasks of the company and allow employees to focus their efforts on “higher value” functions.

As SAS CIO Jay Upchurch has pointed out, these automations are relevant because will allow companies to make decisions in an “agile” way, with the ability to “recognize opportunities faster and drive innovation to stand out in the market.

The senior vice president of Fraud & Security Intelligence at SAS, Stu Bradley, has commented in the same way, who has stressed that in 2025 will see “a major rationalization of IT (Information Technology)”. This is because, as he has pointed out, business leaders They will take advantage of the cloud to simplify their infrastructure and their relationships with suppliers, With this, they will be able to gain speed and reduce costs.

“Those who modernize on a cloud-native, AI-powered platform will realize the greatest value, achieving integrated and democratized data and decision-making capabilities”, Bradley has sentenced.

QUALITY DATA AND MORE SPECIALIZED LLM

On the other hand, SAS has also indicated that 2025 will be a year that will reflect “how organizations prosper” thanks to generative AI, specifically, creating specialized customer experiences and launching innovative products more quickly.

However, he has also warned that, for this, it is essential Using good data to inform generative AI. Thus, he highlighted that organizations must avoid poor data, and ensure that they work with quality data so that AI offers the highest performance.

In addition to all this, SAS has announced that, during the next year, the large LLM models “will become so common that their basic use will be accessible to everyone for free.” Therefore, the real value of these models will be transferred to those that offer specialized servicesas well as “domain-specific applications built on these models”, as he explained.

Along with this trend, it is expected experience open source LLM growth, so that any user or company can access, modify and use the model, which will drive “a more decentralized AI landscape,” according to SAS Vice President of AI and Analytics, Udo Sglavo.

GENERATIVE AI TRANSITION FOR MARKETING

Specifically, SAS has also focused on the Using generative AI for marketers. In this case, he has indicated that, during 2025, professionals in this sector will make “a radical transition” in the adoption of this technology.

Thus, he has indicated that they will go from being used for simpler applications of generative AI, focused on productivity and content creation, to more advanced capabilities with which, for example, drive competitive advantage and the customer revenue growth.

Beyond the LLM, the company has assured that sector experts will adopt tools like synthetic datathe digital twins and consolidated AI technologies, as is the case of ‘machine learning’ or ‘deep learning’. In this way, the marketing sector will be able offer even more personalized experiences to your customersas well as more effective campaigns, always respecting the privacy of the organizations and companies with which they work.

COMMITMENT TO THE ENVIRONMENT IN 2025

Another point that SAS has highlighted is that, due to the urgent adoption of AI, there are generating inefficient models that consume large resources in the cloud and, therefore, increase the carbon footprintwith its corresponding implications for the environment.

That is why the responsibility for reducing environmental impact falls on both providers and users who manage workloads and data. Therefore, as the company has highlighted, improve efficiency in developing AI models through cloud-optimized platforms”will help reduce duplication, unnecessary waste and energy consumption.”

In this sense, speed and algorithmic efficiency must be taken into account as “critical factors” to reduce cloud consumption, as explained by SAS CTO, Bryan Harris.

PROMOTE THE ETHICAL USE OF AI

Finally, the ethics in the use of AI It is another of the pillars that will be discussed in 2025, given that it is a technology that is transforming the way in which people interact with information, by personalizing content and generating large volumes of data.

In fact, Misuse of this technology entails risks such as misinformation and social manipulation.as the technology company has recalled, for example, can pose threats at both the individual, group and institutional levels.

To mitigate these risks, SAS has highlighted the role of business leaders, who should promote ethical use of AI, as well as reaffirm organizational values and establish clear policies and standards for their implementation by the organization.