NTT DATA Focus

Banking looks beyond pilot projects to turn AI into business impact

Are you leading or lagging in AI? It's a complicated question, and in banking and financial services, the answer is beginning to determine real competitive advantage.

July 1, 2026: Global

Data & Artificial Intelligence

8 ways to improve your enterprise knowledge strategy for AI

When your AI initiatives, whether copilots or more advanced agentic systems, fail to make a business impact, it's easy to assume there's a problem with your data - especially when you've invested heavily in data lakes, platforms, warehouses and dashboards.

June 18, 2026: Global

Data & Artificial Intelligence

Building agile supply chains in a volatile world: 5 key learnings

Does it feel like your operations team is doing nothing but firefighting? Delayed shipments because of port disruptions, spiking costs thanks to inflation, key suppliers suddenly going offline due to new regulations - all while your customers demand faster delivery and full transparency.

June 16, 2026: Global

Data & Artificial Intelligence Innovation Technology Solutions

Retail media: The $100 billion growth engine retailers can't afford to ignore

On the surface, your local store hasn't changed much: the same aisles, the same shelves and the same products stacked in familiar ways. But look a little closer, and some key differences emerge.

June 3, 2026: Global

Data & Artificial Intelligence Cloud Innovation Technology Solutions

From software-defined to AI-native: Automotive's next operating model

Over the past several years, most original equipment manufacturers and suppliers have explored AI through pilot projects, proofs of concept and isolated use cases. That phase is largely complete. The question is now whether leaders in the automotive industry are applying AI in ways that change how the business actually runs.

June 2, 2026: Global

Data & Artificial Intelligence

Why slow AI adoption is more expensive in manufacturing

In some industries, you can afford to test at the edges, and it can be best practice. In manufacturing, you can't, and it isn't.

June 1, 2026: Global

Data & Artificial Intelligence

Beyond the hype: How AI is delivering real business results

Not so long ago, AI felt like a giant sandbox. Teams were testing tools, running pilot projects and seeing what might stick. But now the focus has firmly shifted to performance at scale, with AI woven into the fabric of how organizations run.

April 15, 2026: Global

Data & Artificial Intelligence

Leading the next era: My new role as Chief AI Officer at NTT DATA, Inc.

Alongside my role as CEO at NTT DATA, Inc., I'm stepping into a new position: Chief AI Officer (CAIO). My ambition is clear: to build the leading AI-native services company of the future.

December 18, 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

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

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

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

NTT DATA Focus

Pick Up

Infrastructure is critical again: Here's what it means for every CIO

8 ways to improve your enterprise knowledge strategy for AI