NTT DATA Focus
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Why 'lift and shift' used to work - and why it doesn't anymore
A few years ago, "lift and shift" was the golden ticket to the cloud. It seemed simple: Pick up your workloads, move them from your on-premises data center into the cloud, and you're done.
- November 28, 2025
- Global
Cloud
5 ways manufacturers are building agile supply chains in the AI era
Supply chains have always been complex and operated under constant pressure. Manufacturers are expected to scale production, reduce downtime and meet customer demand while cutting costs and shortening lead times to generate better returns on capital.
- November 19, 2025
- Global
Data & Artificial Intelligence
5 ways manufacturers are building agile supply chains in the AI era
Supply chains have always been complex and operated under constant pressure. Manufacturers are expected to scale production, reduce downtime and meet customer demand while cutting costs and shortening lead times to generate better returns on capital.
- November 19, 2025
- Global
Data & Artificial Intelligence
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Competitiveness and Governance in the Post-Generative AI Era
Artificial Intelligence (AI) has shifted from the margins to the core of business operations, with generative AI accelerating adoption across industries. Yet alongside this opportunity comes risks that demand robust governance. The EU, U.S., and Japan are pursuing distinct approaches, from strict regulation to voluntary guidelines. For companies, success now hinges not just on deploying AI but on governing it effectively. Those that balance innovation with accountability will gain trust, unlock long-term growth, and lead in the post-generative AI era.
- November 13, 2025
- Global
Data & Artificial Intelligence
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The $100 billion stack gap: Why banking's agentic AI dreams will become infrastructure nightmares
The financial services industry is at an inflection point when it comes to effectively leveraging AI. Across boardrooms at major banks, the conversation theme is: "We need agentic AI." The promise is intoxicating - autonomous systems that think, reason and act independently to transform operations.
- October 2, 2025
- Global
Data & Artificial Intelligence
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How to Choose the Right AI Governance Tools: A Joint Initiative with Tokio Marine Group
As generative AI adoption accelerates, so too do the risks. AI governance tools offer a way to manage these risks, but with a crowded and fast-evolving market, choosing the right solution is far from simple. To tackle this challenge, we partnered with Tokio Marine Holdings and Tokio Marine & Nichido Systems to design a structured evaluation process. By defining 30 evaluation perspectives, creating over 900 datasets, and testing tools from more than 20 vendors, we aim to identify the most effective governance tools and drive safer, more reliable AI adoption.
- September 26, 2025
- Global
Data & Artificial Intelligence
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AI Red Teaming: Mapping the Risks of Generative AI
In just a few years, AI has taken over business operations. But how much do we actually know about its inner workings? The reality is, we still have a lot to learn to keep its applications truly safe.
- September 26, 2025
- Global
Data & Artificial Intelligence
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Responsible innovation starts with bold modernization: Spotlight on manufacturing
Not long ago, I sat down with a senior executive at the world's largest soft-drink maker to chat about the future of manufacturing. More specifically, what it takes to modernize a global production and supply operation, spanning legacy plants, evolving customer demands and a digital workforce that's still finding its footing.
- September 18, 2025
- Global
Data & Artificial Intelligence Innovation
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From cockpit to command center: How agentic AI is redefining business operations
The adoption of agentic AI will separate the leaders from the laggards in the new era of business.
- September 17, 2025
- Global
Data & Artificial Intelligence
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Key Considerations for Implementing RAG in Generative AI
Companies are starting with back-office tasks such as report writing and policy searches, where they can apply generative AI with fewer risks. Retrieval-Augmented Generation (RAG) gives large language models access to internal data, improving accuracy and relevance. Teams achieve better results when they structure data carefully, assign departmental ownership, and validate outputs with domain experts. NTT DATA equips organizations to democratize RAG through no-code tools, training, and governance. It also offers DataRobot and is launching "Smart AI Agentâ„¢" services to automate workflows.
- September 5, 2025
- Global
Data & Artificial Intelligence
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Empower your workforce with AI in manufacturing operations
Current manufacturing reporting systems serve as living, breathing connections between the factory floor and the broader business. But even with all the available data and defined metrics, these same systems often fail to provide actionable insights.
- August 20, 2025
- Global
Data & Artificial Intelligence
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Measuring customer loyalty in the age of AI needs a fresh take on NPS
Net Promoter Score (NPS), the trusted metric for measuring customer advocacy and loyalty, has long provided critical insights into customer experiences and organizational health. However, as AI and GenAI become integral to business operations, organizations must rethink how they leverage NPS to capture the nuanced realities of intelligent systems and services.
- August 18, 2025
- Global
Data & Artificial Intelligence
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Setting sail for the future: Agentic AI charts a new course for business
I'm a sailor at heart, and one of my favorite pastimes is taking to the seas with a group of friends. On a recent sailing trip, I had the opportunity to introduce my companions to a new crew member - a ChatGPT-based AI model that I'd been teaching to speak with an Australian accent. It proved to be an invaluable addition to our voyage.
- August 7, 2025
- Global
Data & Artificial Intelligence
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The new frontier: Why agentic AI should be on every CIO's roadmap
As a senior technology executive at a leading IT service provider, I've had the privilege of working closely with CIOs who wear multiple hats - they need to act both as business strategists and as IT leaders. These roles demand a constant focus on enabling innovation, improving operational efficiency and improving the experiences of both customers and employees across the organization.
- August 4, 2025
- Global
Data & Artificial Intelligence
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