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

Nokia is shifting its core focus from mobile networks to AI infrastructure and optical networking amid declining RAN revenues and financial pressures. In Q2 2025, the Network Infrastructure division surpassed Mobile Networks, driven by demand from data centers and hyperscalers. With CEO Justin Hotard emphasizing AI integration and enterprise 5G, Nokia is repositioning itself for long-term growth while maintaining its mobile presence as a strategic layer.
Telefónica Tech has partnered with Perplexity to launch Perplexity Enterprise Pro, a secure AI-powered search tool for businesses in Spain. Designed for enterprise use, the platform enables advanced, real-time knowledge discovery, integrates SSO and SOC2 protections, and respects data privacy. Telefónica offers pilots and full professional services to support implementation—targeting productivity boosts in sectors like healthcare, finance, and law.
Trump’s AI Action Plan marks a major shift in U.S. technology policy, emphasizing deregulation, global AI exports, and infrastructure acceleration. The plan repeals Biden-era safeguards and aims to position American companies ahead of China in the global AI race, while sparking debate on jobs, environmental costs, and the limits of state-level regulation.
OpenAI has confirmed its role in a $30 billion-per-year cloud infrastructure deal with Oracle, marking one of the largest cloud contracts in tech history. Part of the ambitious Stargate project, the deal aims to support OpenAI’s growing demand for compute resources, with 4.5GW of capacity dedicated to training and deploying advanced AI models. The partnership positions Oracle as a major player in the AI cloud arms race while signaling OpenAI’s shift toward vertically integrated infrastructure solutions.
Amazon is acquiring Bee, a San Francisco AI wearable startup, to expand its footprint in mobile AI devices. Bee’s $49.99 wristband records ambient conversations to generate tasks and reminders, positioning it as a personal AI companion. The move reflects Amazon’s broader strategy to integrate generative AI into everyday consumer hardware, potentially reshaping how we interact with AI beyond the home.
The NTIA has approved all 56 U.S. states and territories to move into the “Benefit of the Bargain” round under the $42.45B BEAD Program. This competitive subgrantee selection phase streamlines broadband deployment nationwide by allowing fiber, fixed wireless, and satellite providers equal footing under new, tech-neutral NTIA rules. Final proposals are due by September 4, 2025, as the U.S. pushes toward universal internet access.
Whitepaper
Dive deep into how Radisys Corporation is navigating the dynamic landscape of Open RAN and 5G technologies. With their innovative strategies, they are making monumental strides in advancing the deployment and implementation of scalable, flexible, and efficient solutions. Get insights into how they're leveraging small cells, private networks, and strategic...
Whitepaper
This whitepaper explores seven compelling use cases of AI-infused automated service assurance solutions, encompassing anomaly detection, automated root cause analysis, service quality enhancement, customer experience improvement, network capacity planning, network monetization, and self-healing networks. Each use case explains how AI, when embedded in a tailored assurance solution powered by extensive...
Radcom Logo

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