Digital Event Horizon
In 2025, industries are expected to put their vast reserves of stored data to work by building and customizing large language models (LLMs). With agentic AI at the forefront of this revolution, organizations will be able to harness and reason with their data in ways that were previously unimaginable. From healthcare and telecommunications to entertainment and energy, AI is poised to transform every aspect of industry operations – but what does this mean for business, customers, and society as a whole? Dive deeper into the future of industry data lakes and discover the transformative power of agentic AI.
The world's industries are harnessing large language models (LLMs) to transform industry data lakes into powerful tools. The estimated 120 zettabytes of stored data will be used to build and customize LLMs, combining proprietary data with cutting-edge AI capabilities. Agentic AI is emerging as a new category of generative AI that operates virtually autonomously, making complex decisions and adapting to changing circumstances. Small language models are being developed for energy efficiency and reduced latency issues, enabling faster inference and improved performance across industries. AI agents will become ubiquitous in the financial services sector, revolutionizing customer experiences and reducing operational costs. The energy sector is expected to adopt nuclear power as a clean-energy path forward, with accelerated computing and AI driving optimization and design improvements. Software-defined stores are on the horizon, accelerating checkout processes, optimizing merchandising, and reducing shrinkage in retail.
As we stand at the precipice of 2025, the prospect of transforming industry data lakes into powerful tools that can harness and reason with vast amounts of information becomes increasingly tantalizing. With an estimated 120 zettabytes of stored data – a figure equivalent to trillions of terabytes, or more than 120 times the amount of every grain of sand on every beach around the globe – the world's industries are finally putting this untamed resource to work by building and customizing large language models (LLMs).
The rise of LLMs has been meteoric, with industries such as healthcare, telecommunications, entertainment, energy, robotics, automotive, and retail leveraging these models to combine their proprietary data with cutting-edge AI capabilities. The end result is a new generation of intelligent systems that can process data at the edge, deliver near-instantaneous insights, and drive business growth like never before.
One of the most significant trends in this emerging landscape is the emergence of agentic AI – a new category of generative AI that operates virtually autonomously. This type of AI can make complex decisions, take actions based on continuous learning and analysis of vast datasets, adapt to changing circumstances, define its own goals, and even interact with other AI agents or reach out to humans for assistance.
As we look to the future, industry experts predict that agentic AI will sit atop the list of top trends in AI in 2025, alongside edge AI, AI cybersecurity, and AI-driven robots. This is a momentous development, as it represents a fundamental shift in the way organizations approach data analysis, decision-making, and innovation.
Another key area of focus for industry leaders is the rise of small language models – specialized versions of LLMs that are optimized for energy efficiency and reduced latency issues associated with sending data to central processing units. The impact of these smaller models will be felt across a range of industries, from automotive and retail to advanced robotics, as they enable faster inference and improved performance.
AI agents, meanwhile, are poised to become ubiquitous in the financial services sector, where they will revolutionize customer experiences, drive productivity, and reduce operational costs. From human-like 3D avatars that interact directly with clients to text-based chatbots that summarize vast amounts of data in seconds, AI agents will redefine the way firms serve their customers.
In the energy sector, we can expect a broader embrace of nuclear power as a clean-energy path forward – alongside an increased focus on natural gas, which is expected to grow in demand as it replaces coal and other forms of energy. The role of accelerated computing, simulation technology, and AI-driven 3D visualization will be instrumental in optimizing design, pipeline flows, and storage.
In the world of retail, software-defined stores are on the horizon – each running computer vision and sophisticated AI algorithms at the edge. This transformation will accelerate checkout processes, optimize merchandising, and reduce shrinkage – the industry term for products being lost or stolen.
As we hurtle towards 2025, it's clear that the data lake revolution is poised to have a profound impact on industry operations, customer experiences, and business outcomes. With AI, machine learning, and edge computing driving innovation and growth, one thing is certain: the future of industry data lakes has never looked brighter.
Related Information:
https://blogs.nvidia.com/blog/industry-ai-predictions-2025/
Published: Wed Nov 13 11:27:15 2024 by llama3.2 3B Q4_K_M
