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2025 Predictions: AI Finds a Reason to Tap Industry Data Lakes
- Industries are using large language models (LLMs) combined with proprietary data coming from data lakes to create AI that can reason and agentic AI sits atop the list along with edge AI, AI cybersecurity and AI-driven robots.
- Agentic AI is able to operate autonomously after being trained through continuous learning and analysis of vast datasets and can chat with other AI agents or reach out to a human for help.
- Hospitals, factories, customer service centers, cars and mobile devices are gearing up to deliver AI that can harness data at the edge and deliver near-instantaneous insights.
- Robots will assist human clinicians in a variety of ways, from understanding and responding to human commands, to performing and assisting in complex surgeries. Robots operating through digital twins, simulation and AI that train and test robotic systems in virtual environments will be possible and will reduce risks associated with real-world trials.
- AI-powered digital health agents will become more commonplace, providing personalized patient care services and helping healthcare staff reduce clerical work and recommend clinical trials and state-of-the-art treatments for their patients.
- Drug discovery and design AI factories will explore the near-infinite possible target drug combinations before going into time-consuming and expensive wet lab experiments. The drug design and discovery process will shift to a design and engineering one.
- AI models that can perceive, understand and interact with the physical world using “world model” that mimics the laws of physics will be developed. Large-scale physically based simulations will enable the world to realize the value of physical AI through robots.
- AI-powered agents integrated into the financial services ecosystem will improve customer experiences, drive productivity and reduce operational costs. Financial institutions will build AI factories that use full-stack accelerated computing to maximize performance and utilization.
- In the entertainment industry, AI will continue to revolutionize by offering hyper-personalized content on every screen. AI-driven platforms will foster meaningful connections with audiences by tailoring recommendations, trailers and content to individual preferences.
- Telecommunications providers will deliver generative AI applications and 5G connectivity over the same network enabling telecom operators to transform traditional single-purpose base stations from cost centers into revenue-producing assets capable of providing AI inference services to devices.
- Smart meters that use AI will broadly manage grid networks, from big power plants and substations and, now, into the home. Energy companies will optimize design, pipeline flows and storage to reduce the impact of energy exploration and production.
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