{"id":68960,"date":"2024-12-10T10:10:04","date_gmt":"2024-12-10T08:10:04","guid":{"rendered":"https:\/\/gulftech-news.com\/en\/?p=68960"},"modified":"2024-12-10T10:10:05","modified_gmt":"2024-12-10T08:10:05","slug":"sas-2025-predictions-ai-gets-specialized-and-sustainable","status":"publish","type":"post","link":"https:\/\/gulftech-news.com\/en\/2024\/12\/10\/sas-2025-predictions-ai-gets-specialized-and-sustainable\/","title":{"rendered":"SAS 2025 predictions: AI gets specialized and sustainable"},"content":{"rendered":"\n
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Alexander Tikhonov, Regional Director for the Middle East, Turkey, and Africa (META) at SAS<\/figcaption><\/figure>\n\n\n\n

AI has dominated the headlines \u2013 and tech industry predictions \u2013 for the past few years. Will 2025 be any different? (Spoiler alert: no). However, several AI themes will come into focus such as model specialization, regulatory challenges, environmental sustainability, and more.<\/p>\n\n\n\n

Executives and experts across SAS, the leader in data and AI, looked ahead to predict trends and key business and technology developments for 2025. <\/strong>Here are some of the predictions they shared.<\/p>\n\n\n\n

Visit SAS\u2019 <\/strong><\/em>2025 AI predictions <\/strong><\/em><\/a>page for more trends and forecasts.<\/strong><\/em><\/p>\n\n\n\n

Faster model training reduces AI carbon footprint<\/strong><\/h3>\n\n\n\n

Speed and algorithmic efficiency cannot be ignored as critical levers to reduce cloud consumption. While energy-hungry AI will continue to fuel the drive toward sustainable energy sources including nuclear, it will also increase demand for more energy efficient models. Just like the home appliance industry and auto industry made huge advancements in energy efficiency, we must make AI models more efficient.<\/p>\n\n\n\n

–<\/em>           Bryan Harris, Chief Technology Officer, SAS<\/em><\/p>\n\n\n\n

AI attacks threaten our way of life<\/strong><\/h3>\n\n\n\n

AI\u2019s ability to personalize and operate at massive scale is reshaping how we interact with information, including the rise of misinformation and manipulation of social norms. AI attacks can happen on an individual, group or at the institutional level \u2013 threatening our ways of life. <\/p>\n\n\n\n

Democratic societies and their governments have a vested interest in protecting good faith civil discourse, elections and maintaining cultural norms. To help mitigate the threat, business leaders need to own the conversation on ethical use of AI within the organization by doubling down on organizational values and publishing AI principles, policies, standards and controls.<\/p>\n\n\n\n

–           Steven Tiell, Global Head of AI Governance Advisory, SAS<\/em><\/p>\n\n\n\n

Flaming data dumpsters fuel the AI divide<\/strong><\/h3>\n\n\n\n

2025 will reveal some organizations are thriving with generative AI \u2013 outpacing the competition, creating specialized customer experiences, launching innovative products faster. But other organizations are falling behind in the generative AI race. <\/p>\n\n\n\n

They\u2019re abandoning the wave of projects begun in 2023 because they overlooked a critical reality: AI needs good data. Poor data impedes AI performance, and organizations need to be brave enough to step back and fix their pervasive data issues.\u00a0\u00a0<\/strong><\/p>\n\n\n\n

–<\/em>           Marinela Profi, Global GenAI\/AI Market Strategy Lead, SAS<\/em><\/p>\n\n\n\n

GenAI hype cycle comes back down to Earth<\/strong><\/h3>\n\n\n\n

Generative AI will never not<\/em> be cool, but we\u2019ve reached a point where we give a slight nod to the hype cycle, then get down to the business of delivering real business value. This happens by simplifying our approaches, rules and models, and complementing them with the targeted use of large language models (LLMs) and specialized small language models (SLMs). Keep a close eye on that Nvidia stock.<\/p>\n\n\n\n

–           Jared Peterson, Senior Vice President, Platform Engineering, SAS<\/em><\/p>\n\n\n\n

Cloud providers and AI users will share environmental responsibility<\/strong><\/h3>\n\n\n\n

The rush to adopt AI is leading to inefficient models that consume vast amounts of cloud resources and contribute to a larger carbon footprint. It is not only up to hardware providers and hyperscalers to reduce environmental impact \u2013 it\u2019s a shared responsibility with the AI users managing data and AI workloads. <\/p>\n\n\n\n

Greater efficiency in AI model development \u2013 made possible by cloud-optimized data and AI platforms \u2013 will help to reduce unnecessary duplication and waste and minimize energy consumption.<\/p>\n\n\n\n

–           Jerry Williams, Chief Environmental Officer, SAS<\/em><\/p>\n\n\n\n

The titans of tomorrow are AI augmented today<\/strong><\/h3>\n\n\n\n

Fully AI-enabled organizations are the ones that will win the IT battles of 2025. As generative AI evolves from a \u201cshiny new toy\u201d to \u201cjust\u201d another type of AI, organizations will fully operationalize all forms of AI to automate routine tasks that free employees for higher-value work. Those automations mean they\u2019ll make decisions faster, recognize opportunities more quickly, and drive more innovation than competitors. In short: they\u2019ll win.<\/p>\n\n\n\n

–           Jay Upchurch, Chief Information Officer, SAS<\/em><\/p>\n\n\n\n

LLMs get commoditized\u2026 and specialized<\/strong><\/h3>\n\n\n\n

In 2025, LLMs will become commoditized, leading to AI pricing models collapsing as base-level capabilities are offered for free. The real value will shift to specialized services and domain-specific applications built on top of these models. Simultaneously, the rise of open-source LLMs will challenge the dominance of a few key providers, driving a more decentralized AI landscape where customization and integration will be the key differentiators.<\/p>\n\n\n\n

–           Udo Sglavo, Vice President, Applied AI & Modeling, R&D, SAS<\/em><\/p>\n\n\n\n

AI and cloud acceleration will trigger a Great IT Rationalization<\/strong><\/h3>\n\n\n\n

Businesses have long run on siloed systems, each serving a different function or customer segment. IT teams are buckling under the weight of cumbersome integrations, unable to provide the agility their enterprises need. A Great IT Rationalization is on the horizon, where business leaders will leverage the cloud to simplify their IT infrastructures and vendor relationships, gain critical speed and cut costs. <\/p>\n\n\n\n

Those who modernize on a cloud-native, AI-powered platform that drives multiple functions will derive the greatest value. They can achieve integrated, democratized data and decisioning capabilities that span the customer life cycle and the enterprise at large.<\/p>\n\n\n\n

–           Stu Bradley, Sr. Vice President, Risk, Fraud and Compliance Solutions, SAS<\/em><\/p>\n\n\n\n

GenAI gets personal (and more advanced) for marketers<\/strong><\/h3>\n\n\n\n

In 2025, marketers will move aggressively from simpler applications of GenAI focused on productivity and content generation to more advanced AI\u00a0capabilities driving competitive advantage and revenue growth. <\/p>\n\n\n\n

Going beyond LLMs, marketers will embrace GenAI tools like synthetic data and digital twins as well as established AI technologies like machine and deep learning to deliver personalized experiences and effective campaigns while respecting customer privacy.<\/p>\n\n\n\n

–<\/em>           Jennifer Chase, Chief Marketing Officer, SAS<\/em><\/p>\n\n\n\n

Artificial intelligence is undeniably reshaping the global business landscape, and the Middle East, T\u00fcrkiye, and Africa (META) region is at the forefront of this transformation. As highlighted by the latest IDC forecast<\/a>, AI spending in the META region is set to grow at an exceptional 37% compound annual growth rate, with investments reaching $7.2 billion by 2026. <\/p>\n\n\n\n

At SAS, we are proud to be well-equipped to support organizations of all sizes in successfully navigating their GenAI journeys. We are committed to expanding the integration of GenAI across our portfolio, democratizing access to our platform, solutions, and models, and empowering businesses to harness the full potential of AI to drive innovation and growth.<\/p>\n\n\n\n