NTT DATA Launches Smart AI Agentโ„ข to Drive $2B in AI Revenue by 2027

NTT DATA has introduced Smart AI Agentโ„ข, 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 Agentโ„ข to Drive $2B 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 Agentโ„ข 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 Agentโ„ข-related services.

“The Smart AI Agentโ„ข 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 Agentโ„ข: A New Era of AI-Powered Workflows


At its core, Smart AI Agentโ„ข 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 Agentโ„ข Use Cases in Finance, Auto & Manufacturing

NTT DATA highlights that Smart AI Agentโ„ข is already making a significant impact in key sectors:

  • Automotive โ€“ Improving DevOps data analysis efficiency to enhance vehicle software development and maintenance.
  • Banking & Finance โ€“ Automating regulatory reporting to streamline compliance processes and reduce human error.
  • Manufacturing & Energy โ€“ 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 Agentโ„ข Features: From Task Automation to AI-Driven Insights

The Smart AI Agentโ„ข 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 Agentโ„ข 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 Agentโ„ข 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 Agentโ„ข: Secure, Scalable AI for Enterprise Growth

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

NTT DATAโ€™s AI Strategy: Scaling Smart AI Agentโ„ข 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 Agentโ„ข, 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 Agentโ„ข marks a major step in NTT DATAโ€™s AI strategy, reinforcing its position as a leader in enterprise AI adoption and automation solutions.


Recent Content

In Technology Game Changers, leaders from Agility Robotics, Lenovo, Databricks, Mistral AI, and Maven Clinic showcase how AI and robotics are moving from novelty to necessity. From Peggy Johnsonโ€™s Digit transforming warehouse labor, to Lenovoโ€™s hybrid AI ecosystem, Databricks’ frictionless AI UIs, Mistralโ€™s sovereignty-focused open-source models, and Mavenโ€™s virtual womenโ€™s health platform, this article explores the intelligent, personalized, and responsible future of tech. The next frontier of innovation isnโ€™t just smartโ€”itโ€™s human-centered.
Global Shifts explores how leaders like Keyu Jin and Gregory Allen are analyzing the breakdown of old globalization models and the rise of new strategic paradigms. Jin outlines the emergence of regional economic blocs, Chinaโ€™s shift toward technology self-reliance, and the decentralization of capital. Allen frames AI as a strategic battleground, discussing export controls, the rise of DeepSeek, and the risks of decoupling. The piece offers a critical look at how economic power and innovation are evolving in an era defined by urgency, sovereignty, and competition.
In Technology, Climate Change and Justice, top leaders from Arm, The B Team, Vattenfall, and Silo AI outline how technology can both fuel and fix the climate crisis. From Leah Seligmannโ€™s values-driven climate leadership to Anna Borgโ€™s clean-energy grids and Peter Sarlinโ€™s push for efficient, open-source AI, this piece highlights how innovation must align with inclusion, sustainability, and resilience. The message is clear: solving climate change isnโ€™t just about new techโ€”itโ€™s about how we deploy it, who benefits, and whether it truly serves a livable future.
In Innovation In Action, executives from Time, Sierra, and Axios share how they’re redefining business, media, and journalism with AI. Time is unlocking over a century of content for fair AI use, while Sierraโ€™s “agentic AI” elevates the customer experience across industries. Axios emphasizes human-first reporting with AI support. Across the board, these leaders show how strategic adaptation can embrace AI without compromising trust, transparency, or editorial integrity.
The future of manufacturing is intelligent, autonomous, and sustainable. Powered by private 5G networks, AI, and digital twins, smart factories are revolutionizing how goods are produced and maintained. From predictive maintenance to immersive virtual twins and AI-optimized energy systems, smart manufacturing is unlocking new levels of efficiency and innovation across industriesโ€”from ports and shipyards to agriculture and healthcare.
Smart mobility is reshaping how the world moves, powered by 5G, AI, and edge computing. From autonomous vehicles and real-time logistics to AI-driven drones and connected public transport, intelligent transportation systems are redefining urban mobility, logistics, and industrial automation. As global investment and collaboration grow, the transportation industry is transforming into a $11.1 trillion smart ecosystem focused on sustainability, efficiency, and connectivity.

Download Magazine

With Subscription
Whitepaper
As VoLTE becomes the standard for voice communication, its rapid deployment exposes telecom networks to new security risks, especially in roaming scenarios. SecurityGenโ€™s research uncovers key vulnerabilities like unauthorized access to IMS, SIP protocol threats, and lack of encryption. Learn how to strengthen VoLTE security with proactive measures such as...
Whitepaper
Dive into the comprehensive analysis of GTPu within 5G networks in our whitepaper, offering insights into its operational mechanics, strategic importance, and adaptation to the evolving landscape of cellular technologies....

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

Subscribe To Our Newsletter

Scroll to Top