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

MediaTek is showcasing wireless evolution towards 6G, including hybrid computing, a live LEO broadband NR-NTN trial, and SBFD.
Ceva unveils high-performance Ceva-XC23 DSP delivers 2.4X improvements in performance and area efficiency for more intensive applications.
The GSMA Foundry has launched Open-Telco LLM Benchmarks, an open-source AI evaluation framework designed to enhance telecom-specific large language models (LLMs). Supported by Hugging Face, The Linux Foundation, Deutsche Telekom, SK Telecom, and more, this initiative aims to improve AI efficiency, security, and compliance in 5G and 6G networks. Learn how this industry-wide benchmark is shaping the future of telecom AI innovation.
At MWC 2025, Qualcomm and Nokia Bell Labs demonstrated how AI-driven wireless networks can achieve multi-vendor interoperability without sharing proprietary data. Their AI-enhanced channel state feedback (CSF) technology optimizes 5G performance, improving network efficiency, signal strength, and reliability. With implications for 6G, Open RAN, and private 5G, this breakthrough is reshaping the future of AI-powered wireless communications.
Nokia introduces MX Context, an AI-powered sensor fusion solution that integrates multi-modal IoT data with private 5G networks for enhanced automation, efficiency, and worker safety. By eliminating data silos, MX Context provides real-time situational awareness, optimizes asset tracking, and enables low-code industrial automation. Learn how this AI-driven innovation is transforming Industry 4.0.
In 2025, the mobile industry is set to surpass 1 billion IoT connections while advancing 5G standalone, AI, quantum security, and mobile identity services. At MWC25 Barcelona, GSMA experts will discuss eSIM standardization, network APIs, private 5G, and AI-powered security. Discover how non-terrestrial networks (NTN) and post-quantum cryptography will shape telecom’s future.

Download Magazine

With Subscription

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

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

Subscribe To Our Newsletter

Scroll to Top