NTT DATA Launches Smart AI Agent™ to Drive $2B in AI Revenue by 2027

NTT DATA has introduced Smart AI Agent™, an AI-powered automation tool designed to accelerate Generative AI adoption and enhance workforce efficiency across industries. With applications in automotive, finance, and manufacturing, the AI agent streamlines workflows and enables businesses to scale AI-driven operations. Targeting $2 billion in revenue by 2027, NTT DATA is positioning itself as a leader in enterprise AI adoption, offering secure, scalable, and intelligent automation solutions to address global workforce challenges.
NTT DATA Launches Smart AI Agent™ to Drive B in AI Revenue by 2027
Image Credit: NTT DATA

NTT DATA, a Japan-based leader in digital business and IT services, has introduced its next-generation Smart AI Agent™ for international markets. This AI-driven automation tool is designed to streamline business operations, enhance workforce efficiency, and accelerate the adoption of Generative AI solutions. By 2027, NTT DATA aims to generate $2 billion in revenue from Smart AI Agent™-related services.

“The Smart AI Agent™ is built to simplify AI adoption, helping businesses quickly evaluate and deploy generative AI applications,” said Yutaka Sasaki, President and CEO of NTT DATA. “Our goal is to improve operational efficiency while addressing global workforce challenges.”

Smart AI Agent™: A New Era of AI-Powered Workflows


At its core, Smart AI Agent™ autonomously extracts, organizes, and executes tasks based on user instructions, reducing manual workloads and optimizing processes. By acting as a digital assistant, it complements human employees and enables businesses to focus on higher-value tasks.

The Smart AI agent will first be rolled out in the U.S., China, and several European countries, with plans for a broader global expansion.

AI in Action: Smart AI Agent™ Use Cases in Finance, Auto & Manufacturing

NTT DATA highlights that Smart AI Agent™ is already making a significant impact in key sectors:

  • Automotive – Improving DevOps data analysis efficiency to enhance vehicle software development and maintenance.
  • Banking & Finance – Automating regulatory reporting to streamline compliance processes and reduce human error.
  • Manufacturing & Energy – Enhancing marketing cycles and operational decision-making through AI-driven insights.

These industry applications showcase how AI-driven automation can unlock new efficiencies while enabling businesses to rapidly scale AI adoption.

Smart AI Agent™ Features: From Task Automation to AI-Driven Insights

The Smart AI Agent™ integrates advanced AI functionalities to enhance workflow automation, data processing, and user interaction:

1. Task Planning and Execution

Automates complex workflows by breaking down tasks into structured processes, ensuring faster and more accurate execution.

2. Multi-Agent Collaboration

Multiple AI agents can work together to execute workflows, increasing efficiency and adaptability in business operations.

3. Advanced Retrieval-Augmented Generation (RAG)

Provides context-aware searches within internal corporate databases, delivering more precise and relevant AI-generated insights.

4. Agent Ops for Operational Optimization

Analyzes and validates business documents, improving data accuracy and operational efficiency in key workflows.

5. User-in-the-Loop (UITL) for Continuous Learning (Coming March 2025)

Allows users to provide real-time feedback, enabling Smart AI Agent™ to self-optimize workflows for better performance over time.

AI & Workforce Productivity: Solving the Talent Shortage with Automation

A major challenge for businesses worldwide is the growing talent shortage. NTT DATA positions its Smart AI Agent™ as a solution to this issue by automating repetitive tasks, freeing up employees to focus on more strategic, high-value activities. By complementing human expertise rather than replacing it, the AI agent enhances workforce productivity and business agility.

Smart AI Agent™: Secure, Scalable AI for Enterprise Growth

Recognizing that enterprises have different security and compliance needs, NTT DATA provides Smart AI Agent™ with both public and private cloud deployment options. This ensures businesses can integrate AI-driven automation while maintaining data confidentiality and regulatory compliance.

NTT DATA’s AI Strategy: Scaling Smart AI Agent™ for Global Markets

As Generative AI continues to reshape industries, NTT DATA is committed to helping businesses seamlessly adopt AI-driven automation. With its Smart AI Agent™, companies can enhance operational efficiency, optimize workflows, and address talent shortages, all while positioning themselves for future growth in the AI era.

The global rollout of Smart AI Agent™ marks a major step in NTT DATA’s AI strategy, reinforcing its position as a leader in enterprise AI adoption and automation solutions.


Recent Content

Looking to learn AI in 2025 without breaking the bank? This blog breaks down the best free AI courses and certifications from top platforms like Google, IBM, and Harvard. Whether you’re a beginner, teacher, or tech professional, you’ll find career-relevant learning paths, direct course links, and tips to get certified and start building AI projects today.
Explore the transformative potential of Open Radio Access Networks (O-RAN) as it integrates AI, enhances security, and fosters interoperability to reshape mobile network infrastructure. In this article, we explore the advancements and challenges of O-RAN, revealing how it sets the stage for future mobile communications with smarter, more secure, and highly adaptable network solutions. Dive into the strategic implications for the telecommunications industry and learn why O-RAN is critical for the next generation of digital connectivity.
Nvidia’s Open Power AI Consortium is pioneering the integration of AI in energy management, collaborating with industry giants to enhance grid efficiency and sustainability. This initiative not only caters to the rising demands of data centers but also promotes the use of renewable energy, illustrating a significant shift towards environmentally sustainable practices. Discover how this synergy between technology and energy sectors is setting new benchmarks in innovative and sustainable energy solutions.
SK Telecom’s AI assistant, adot, now features Google’s Gemini 2.0 Flash, unlocking real-time Google search, source verification, and support for 12 large language models. The integration boosts user trust, expands adoption from 3.2M to 8M users, and sets a new standard in AI transparency and multi-model flexibility for digital assistants in the telecom sector.
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.
Telecom providers have spent over $300 billion since 2018 on 5G, fiber, and cloud-based infrastructure—but returns are shrinking. The missing link? Network observability. Without real-time visibility, telecoms can’t optimize performance, preempt outages, or respond to security threats effectively. This article explores why observability must become a core priority for both operators and regulators, especially as networks grow more dynamic, virtualized, and AI-driven.

Download Magazine

With Subscription
Whitepaper
5G network rollouts are now sprouting around the globe as operators get to grips with the potential of new enterprise applications. Yet behind the scenes, several factors still could strongly impact just how transformative this technology will be in years to come. Ultimately, it will all boil down to one...
NetInsight Logo
Whitepaper
System integrators play a crucial role in the network ecosystem by bringing together various components and technologies from the diverse network ecosystem players to build, deploy, and operate comprehensive end-to-end solutions that meet the specific needs of their clients....
Tech Mahindra Logo

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top