All Insights

The emerging regulatory framework is putting digital sovereignty at the center of Europe’s technology agenda, but what does it mean for your organization?

Physical AI embeds real-time intelligence into machines and operations, reducing latency, improving safety and enabling enterprise automation at scale.

Defense forces need digital sovereignty to stay operational as warfare expands across cyber, AI and hybrid domains.

Agentic AI is helping defense manufacturers cut through complexity, speed up production and deal with mounting backlogs.

Without strong cloud foundations, banks’ AI strategies will stall, not scale.

Continuous validation turns traditional, reactive penetration testing into an always-on defense that keeps pace with modern development and new threats

As AI moves from experimentation to execution, infrastructure has become the decisive foundation for scale, trust and competitive advantage

Look past the constraints of traditional networking and explore a reality where your heaviest workloads dictate the speed, power and predictability they need

If your network isn’t helping your business move faster, adapt quicker and reduce risk, it’s holding you back

Banks are embedding AI into decision-making, risk and operations, with strategy and execution now defining competitive advantage

AI is raising the stakes for insurers, exposing the cloud, data and modernization challenges that stand between experimentation and enterprise-scale impact

AI cannot scale on legacy systems, which makes cloud modernization critical to realizing business value from AI initiatives

AI can reshape manufacturing operations, but only when cloud architecture, applications and security are built for scale

NTT DATA research shows why an automotive cloud strategy must support AI, platform-led operations and support software-defined vehicle development

These essential practices will strengthen your enterprise knowledge strategy so you can improve accuracy and governance as you deploy AI at scale.

Supply chain leaders are building agile, AI-driven systems to respond to constant disruption with resilience and efficient, real-time decisions

The most successful organizations are treating data privacy and AI infrastructure sovereignty as foundational blueprints for their future

AI in contact centers is improving customer experience, reducing costs and enabling smarter, insight-driven decisions and competitive differentiation.

AI leaders in manufacturing are moving faster by prioritizing core operations over pilot projects — and hesitation is now the most expensive risk

Automotive leaders are embedding AI into core workflows, shifting from pilot projects to an AI-native operating model that drives real execution advantage

Retail media is transforming every customer interaction into a measurable revenue stream, giving retailers a powerful new way to grow and stay competitive

As AI scales in your organization, the network needs to transform from being a supporting infrastructure into an engine for performance, trust and growth

Cloud architecture decisions now determine AI performance, cost and governance. Learn why getting your cloud strategy right is critical to AI success.

New research reveals why separating cloud and AI strategies is slowing AI scale and how leading organizations align them to unlock cloud-led innovation