AI beyond simple data management

AI beyond simple data management
AI beyond simple data management

Gradually, artificial intelligence (AI) is used well beyond its initial role as a simple data processing tool, to become a true partner in solving the major challenges of our society. The emergence of agentic AI, AI factories and the development of robot-human interactions promise not only to improve efficiency and reduce operational costs, but also to create new opportunities and radically transform entire sections of the economy.

Agentic AI: applications in multiple domains

A new category of generative AI that operates almost autonomously, agentic AI can make complex decisions, learn continuously, adapt to situations, and communicate with other AI systems or humans. Designed as versatile and autonomous systems, AI agents can adapt to varied situations.

In the health sector, AI agents promise to help alleviate staff shortages and rising costs. They will be able to take on time-consuming administrative tasks, provide personalized care and assist medical staff in managing files and monitoring patients.

The financial sector will see the deep integration of AI agents into its operations, resulting in a significant improvement in customer experience, increased productivity and reduced operational costs. These agents will take various forms, from interactive 3D avatars to text-based chatbots capable of analyzing and synthesizing complex data.

In telecommunications, AI agents will play a crucial role in offering personalized pricing plans to customers, resolving network connectivity issues, and handling billing queries and payments.

Increasingly sophisticated robot-human interactions

Today, when we think of robots, it is usually images or content showing autonomous mobile robots (AMRs), manipulator arms, or humanoids. But the robots of tomorrow will be autonomous systems that perceive, reason, plan and act, then learn.

Soon we will see embodied robots everywhere, from operating rooms to data centers, warehouses and factories. Even traffic control systems or entire cities will move from static, manual systems to autonomous, interactive systems embodied by physical AI.

The evolution of robotics, in synergy with AI, therefore opens up new perspectives, particularly in the medical field. Next-generation surgical robots will be able to understand and respond to surgeons’ voice commands, assist and even perform complex surgical operations, and adapt to unforeseen situations through continuous learning.

The use of digital twins and simulation technologies will allow robots to be trained in secure virtual environments, improve their adaptability to various clinical scenarios and reduce the risks associated with real-world testing. These advances should also lead to a reduction in post-operative recovery times and a reduction in the mental load of surgeons.

AI factories: engines of revolution in pharmacy and finance

AI factories are poised to revolutionize drug discovery and design, replacing the traditional experimental approach with a more sophisticated engineering process. Generative AI models will explore a vast array of potential molecular combinations before laboratory experiments, thereby accelerating biopharmaceutical innovation.

These platforms operate on a continuous learning principle, continually refining their predictive models using laboratory data. This virtuous cycle of improvement will propel the industry toward an era where AI-assisted design takes precedence over serendipitous discovery.

In the financial sector, AI factories are becoming essential given the proliferation of applications of artificial intelligence, from identity verification to the development of trading strategies. Financial institutions are deploying cutting-edge AI infrastructures to design applications that meet multiple needs, automate document management and streamline financing processes.

The advent of agentic AI, coupled with advances in robotics and the rise of “AI factories”, marks the beginning of an era where artificial intelligence becomes a central player in solving major challenges. The future looks promising, with innovations that will profoundly transform the ways of working, innovating and interacting.

Nathaniel IvesBusiness Sales Director , Nvidia

Expert opinions are published under the full responsibility of their authors and do not commit the editorial staff in any way.

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