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

The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.
2025 has seen major telecom and tech M&A activity, including billion-dollar deals in fiber, AI, cloud, and cybersecurity. This monthly tracker details key acquisitions, like AT&T buying Lumen’s fiber assets and Google’s $32B move for Wiz, highlighting how consolidation is shaping the competitive landscape.
Deutsche Telekom, Orange, and the Linux Foundation outline their 2025 cloud-native telecom roadmap, highlighting Kubernetes-native workloads, AI integration, observability, and zero-trust security models. Learn how open-source tooling, GitOps automation, and cultural transformation are reshaping next-gen telco operations.
India’s telecom sector is forecasted to grow 12–14% in FY25, hitting ₹3 lakh crore in revenue, with AI adoption, Vodafone-led tariff hikes, and R&D investment driving momentum. AI is not just boosting efficiency—it’s reshaping the future of telecom jobs, infrastructure, and policy. Sunil Bharti Mittal called for stronger private R&D efforts and smarter policy frameworks to harness India’s demographic advantage and scale the next era of AI-powered telecom innovation.
Fastweb+Vodafone has introduced the FastwebAI Suite, Italy’s first sovereign GenAI platform designed for both businesses and public institutions. Built on secure, in-country infrastructure and powered by MIIA, an Italian-trained LLM, the platform ensures regulatory compliance with EU AI laws. Early adopters include the Italian Senate, ISTAT, and top universities. With consulting via the FastwebAI Factory and upcoming modules for security and governance, this launch strengthens Vodafone’s role in Italy’s digital transformation.
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Whitepaper
The whitepaper, "How Is Generative AI Optimizing Operational Efficiency and Assurance," provides an in-depth exploration of how Generative AI is transforming the telecom industry. It highlights how AI-driven solutions enhance customer support, optimize network performance, and drive personalized marketing strategies. Additionally, the whitepaper addresses the challenges of integrating AI into...
RADCOM Logo
Article & Insights
Non-terrestrial networks (NTNs) have evolved from experimental satellite systems to integral components of global connectivity. The transition from geostationary satellites to low Earth orbit constellations has significantly enhanced mobile broadband services. With the adoption of 3GPP standards, NTNs now seamlessly integrate with terrestrial networks, providing expanded coverage and new opportunities,...

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Readiness Assessment

Run your readiness check now — for enterprises, operators, OEMs & SIs planning and delivering Private 5G solutions with confidence.