Self -Ai Agans continue to transform the AI trajectory. This system develops beyond the basic automation and can analyze dynamic data, adapt in real time and make informed business decisions.
Recognition of the growing role of autonomous agents, NTT data, global digital business providers and IT services of $ 30B, launched its ecosystem AI agents, understanding, designed to control the adoption of enterprise AI solutions.
While many businesses are still experimenting with Genai use, NTT data indicates that the future lies in agent systems.
One of the goals of NTT data is to make the transition to your new ecosystem as transformative as possible without being disturbing. Some of the new tools, such as its patented plug-in, support the conversion of older RPA robots into autonomous intelligent agents. Due to its backward compatibility, business can protect its past technical investments while continuing to modernize its advanced AI capacity operations.
Another key feature is managed agent services that help organizations throughout the AI life cycle. This included everything from planning, as AI agents fit into existing workflows, to their development and deployment in a real business in the area. The aim of this function is to make the integration of AI as smoothed and most effective as possible.
The ecosystem also included the Smart Ai Agent platform, which comes with built -in tools that facilitate business. It includes accelerators, usefulness and marketplace where companies can find repeated AI agents, large languages (LLM) models and small languages (SLM) models. Users can also participate in new secure solutions of results that allow businesses to have AI AIGANTY designed specifically for their industry.
AI agents have been designed NTT data to work on different cloud platforms, including Azure, AWS and Google Cloud. Accepting the “cloud agnostic approach means that businesses are not locked to a single cloud provider and can move their AI systems as needed.
NTT Data Leadership Frames this start as a basic moment when switching from automation of tasks to intelligent orchestration. “The rapid development of AI is a huge opportunity for businesses,” said Yutaka Sasaki, President and CEO of Group, NTT Data Group. “We have developed NTT data to understand capacity that were not delayed to lead our customers in these transformation times and seize them to shape their future with the power of AI.”
With the ecosystem of an intelligent AI agent agent, NTT data focuses on the main industry, including healthcare, production and finance. In healthcare, AI agents can help with reference and evaluation of sorting needed. This could predict early interventions, monitor adherence to drugs and detect fraud.
Automobile companies are aimed at autonomous quality control. The NTT data shared that its new ecosystem could help them analyze defects, revise regulatory warnings and even ethites. In finance, intelligent agents can help increase the conformity of Asting with the Know Your Customer process, detecting fraud and validation of real -time transactions. The NTT data also shared other applications, included a supply chain and marketing boxes.
The ecosystem of an intelligent AI agent is supported by a wide alliance network that signals seriously the scale. The NTT Data with Openai includes a new Excellence Center focused on the development of practical Genai services for a specific industry.
The company also wants to cooperate with innovative startups, included Rafay Systems, which helps optimize the GPU -based infrastructure to ensure that the AI workload is effectively on the scale. Kore.ai is another key partner working on the integration of virtual agents polished LLM into automation at the workplace and improves Howisses to interact with assistants and workflows AITs.
Abhijit Dubey, CEO of NTT Data, described the ecosystem of an intelligent agent AI as “more transformative than Genai”. He said, “It is not just an increase in creativity or productivity. It is about unlocking new abilities that can accept the initiative, decide and cooperate with people in a whole new way.”
“With our deep expertise in the field of responsible innovations, pioneering alliances and visionary customers, we are enthusiastic that we can lead this future building a foundation for a reimaginated hybrid workplace for human machines and a bold new business environment.”
With the new ecosystem, the NTT data is placed as an architect of the agent in the whole store. It is deliberate betting on the agency AI as another real shift in Enterprise Tech. With an emphasis on dealing specific to industry, NTT data produces a practical way for organizations to accept agent artificial intelligence in a way that corresponds to real business processes.
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