From NVIDIA: 2024-11-13 11:00:00

Industries are tapping into the massive amount of stored data – estimated at 120 zettabytes – to create large language models (LLMs) that will power AI advancements across sectors like healthcare, telecommunications, and retail by 2025. AI predictions for 2025 include agentic AI, edge AI, AI cybersecurity, and AI-driven robots.

In healthcare, robots will assist with surgeries and administrative tasks as digital health agents take on note-taking and appointment scheduling. Drug discovery AI will revolutionize the industry by refining models and improving experiments with each iteration, shifting focus from discovery to design and engineering.

Enterprises are preparing for AI models that can interact with the physical world by using large-scale simulations. The cost of industrial robots is expected to drop to $10,800 in 2025, making them more affordable and widely used across industries.

Robots are evolving to become autonomous systems that can perceive, reason, plan, act, and learn in various settings. Small language models at the edge will improve inference in industries like automotive, retail, and advanced robotics.

Financial services will integrate AI-powered agents into customer interactions and operations, leading to improved experiences and reduced costs. AI factories will drive innovation in areas like identity verification, fraud reduction, and document management, streamlining processes and improving outcomes.

In the entertainment industry, AI will revolutionize content creation and delivery with hyperpersonalized experiences across all platforms. AI-driven platforms will foster deeper connections with audiences through tailored recommendations and content.

Telecommunications providers will leverage generative AI applications and 5G connectivity to enhance network performance and deliver AI services to devices. AI agents will assist with customer interactions and network optimization, leading to more efficient and higher-performing networks.

Automotive companies will use generative AI to improve autonomous vehicles’ performance by solving complex reasoning challenges. Simulation tools will enable the creation of scenarios to test vehicle safety and performance, driving continuous improvement in AV software.

The energy industry will adopt smart grid technologies and AI-powered smart meters to manage grid networks effectively. Utilities will embrace nuclear power and natural gas to reduce environmental impact, supported by accelerated computing and AI technologies.

Retail stores will become software-defined, utilizing computer vision and AI algorithms to enhance checkout, merchandising, and reduce product loss. Intelligent supply chains using digital twins and AI-based solvers will optimize operations and drive labor productivity in stores and distribution centers.



Read more at NVIDIA: 2025 Predictions: AI Finds a Reason to Tap Industry Data Lakes