As aerospace and defense organizations navigate complex programs and volatile supply chains, a Unified Data Layer is essential for turning fragmented data into trusted decisions and value

Public sector organizations can see the potential of AI, but realizing it requires faster delivery, clearer governance and stronger links between data, domain expertise and the outcomes citizens need

Organizations that gain the most value from AI invest not just in models, but in the data foundations, interoperability and governance that make AI usable, trusted and scalable across the enterprise

As AI scales from devices to networks and data centers, semiconductor strategy is shifting beyond raw performance toward energy efficiency, distributed intelligence and new connected experiences

AI is exposing the limits of fragmented MarTech stacks, creating an opportunity to rethink data, workflows and operating models so marketing teams can focus more on outcomes than tools

The real story of 2026 won’t be about AI disruption — it’s whether your organization is actually ready for it

A product‑aligned operating model unites infrastructure, data, AI and business expertise with accountability and governance, enabling enterprises to scale AI with agility, trust and repeatability

AI transforms data centers into energy-efficient, sustainable ecosystems while supporting growth, predictive maintenance and carbon reduction goals

AIと機械学習は、データ保護のあり方を大きく変え、データ漏洩やデータ損失を防ぐための新たな基盤となろうとしています。

The growing adoption of AI and GenAI in healthcare, along with data modernization, responsible AI practices and strategic partnerships are key to improving patient care and operational efficiency

Asset-heavy industries are experiencing a rapid evolution driven by the adoption of technologies like AI and the need for greater sustainability practices

To effectively scale innovation ambitions, organizations must connect the dots by bridging the silos between data, AI and infrastructure