Month: January 2026

From 180 Models to One: Achieving IT Cost Transparency at Scale – MagicOrange

From 180 Models to One: Achieving IT Cost Transparency at Scale – MagicOrange

For large financial institutions, understanding IT spend isn’t just a finance exercise—it’s a strategic necessity. A major international investment bank faced growing complexity in managing IT cost allocations across business units, relying on 180 fragmented Excel models that were inconsistent, slow, and difficult to audit. By partnering with MagicOrange, the bank replaced these disconnected models […]

Why FinTech Platforms Are Turning to Distributed SQL – Cockroach Labs

Why FinTech Platforms Are Turning to Distributed SQL – Cockroach Labs

As digital financial services become the default, FinTech platforms are operating with virtually zero margin for error. Customers expect payments to clear instantly, balances to be accurate at all times, and transactions to complete in milliseconds—regardless of location or load. Even brief downtime or minor inconsistencies can quickly erode trust and introduce regulatory and financial […]

How OpenAI Scaled Identity Infrastructure with Modern IAM – Cockroach Labs

How OpenAI Scaled Identity Infrastructure with Modern IAM – Cockroach Labs

When products scale at unprecedented speed, identity infrastructure becomes mission-critical. For OpenAI, rapid global adoption of ChatGPT meant rethinking how authentication, authorisation, and access control could scale securely—without compromising user experience. To support hundreds of millions of users worldwide, OpenAI adopted a modern IAM architecture built on Ory and Cockroach Labs. This cloud-native CIAM stack […]

Shaping the Future of Business with Trusted AI – SAP

Shaping the Future of Business with Trusted AI – SAP

Artificial intelligence has moved from experimentation to expectation. Yet for many organisations, the promise of AI still outpaces its reality. The latest C-level research highlights a critical shift underway: business leaders are no longer asking if AI should be adopted, but how it can be trusted, governed, and deployed to deliver measurable return on investment. […]

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