Private Network Check Readiness - TeckNexus Solutions

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 $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 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

Campus, a two-year college, has introduced an Applied AI concentration within its Associate of Arts in Business Administration, incorporating OpenAI’s ChatGPT Edu tools. The program offers hands-on experience with real-world AI applications, preparing students for high-demand roles in industries increasingly shaped by AI technology. Enrollment begins January 2025.
A study from Cambridge University and the Chinese Academy of Sciences warns that by 2030, generative AI could produce e-waste on an unprecedented scale, with projected volumes reaching millions of tons annually. As AI hardware life cycles shorten to meet the demand for computational power, researchers emphasize the urgent need for sustainable practices. Proposed solutions like hardware reuse, efficient component updates, and a circular economy approach could significantly mitigate AI’s environmental impact, potentially reducing e-waste by up to 86%.
In a global first, Telstra and Ericsson trialed the AI-powered EACC rApp on Telstra’s live network via the Ericsson Intelligent Automation Platform (EIAP). This AI-driven solution enhances network automation by ensuring configuration consistency in real time, helping Telstra advance toward fully autonomous networks. With AI capabilities for self-optimization and self-correction, the EACC rApp improves network efficiency and reliability, offering valuable insights into the potential of AI in telecom to elevate performance and customer experience.
GO, Malta’s leading provider of quad-play services, has enhanced its partnership with Elisa Polystar by integrating the KALIX Network Analytics portal. This addition enables GO to leverage AI-driven insights for real-time network monitoring and improved customer experience. The platform democratizes access to data, allowing various teams within GO to use insights for faster issue resolution and better decision-making. This expansion supports GO’s broader digital transformation strategy, including investments in 5G and advanced network services.
A recent study highlights how banks are leading in the adoption of generative AI (GenAI). With 60% of banking leaders already utilizing GenAI and 98% planning future use, financial services are seeing notable improvements in areas like risk management, compliance, and customer satisfaction. However, challenges like data privacy and regulatory issues remain. Discover more about banks’ investment in AI and their early returns.
Levita Magnetics pioneers the world’s first AR-assisted robotic surgeries, combining the Meta Quest 3 headset and 3D visualization in Santiago, Chile. This breakthrough in surgical tech enhances precision and efficiency, setting a new standard in patient outcomes and offering future potential for telesurgery and AI integration.

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.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025