Systems | Development | Analytics | API | Testing

AI isn’t something we’re waiting for anymore. It’s already here. Every time you check directions, talk to your phone instead of typing, or unlock your device with your face, AI is doing the work in the background. The same shift is happening inside organizations. Companies and government agencies are using AI to answer questions faster, cut down manual tasks, support their teams, and improve how they serve people. But the real question is, Are U.S.

The phrase “Big Data” may be out of trend, but data volumes keep climbing–and so do expectations. It’s estimated that in 2026, the global volume of data is expected to exceed 221 zettabytes. With AI tools and agents making it easier to consume, the pressure is on to deliver faster, more responsive insights on massive datasets to more users than ever.

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” That’s Amara’s Law, a principle coined by futurist Roy Amara. It explains how emerging technologies, like the early internet, are often overhyped at first, followed by a shift toward recognizing their value and integrating them over time. This thinking is a lot like what we’re seeing today with agentic AI.

As APIs evolve into the strategic connective tissue of digital products and AI, organizations often fail to unlock their value due to a critical misalignment between business goals and technical execution. To transform APIs into genuine growth levers, enterprises must embrace full-lifecycle API product management, prioritizing upfront strategy, robust contract design, and scalable developer experiences over mere endpoint creation.

Ruby 4.0 is a major release, launched on Ruby’s 30th anniversary (December 25, 2025) to celebrate three decades of the community, not due to major breaking changes. I was surprised to learn that Ruby doesn’t actually follow semantic versioning! Instead, Matz (Ruby’s creator) increases the major version when changes impress him. This version marks 30 years of Ruby and introduces features to extend the language.

Efficient test data management is a critical component of modern software development. With the demand for quality applications growing rapidly, managing and provisioning test data has become more challenging.

Send warehouse-powered audiences to every ad platform with a single click.

Companies used to be human institutions supported by digital tools. They are becoming computational systems supported by humans.

Bridge the disconnect between design and development. The new Figma plugin for Sauce Visual automates baseline creation, enables shift-left testing, and guarantees visual consistency with your approved Figma designs.

Digital wallets started as simple payment tools. Today, they do much more. They support P2P payments, merchant transactions, loyalty programs, identity services, transit use cases and embedded financial services. Reports from McKinsey, Deloitte and Worldpay show strong growth in digital wallet usage. Wallets now power a large share of global e-commerce and POS transactions. Adoption is rising in both developed and emerging markets. Many organisations can launch a wallet fast. Scaling it is harder.