Indium

California-based AXT makes all its wafer substrates in China, while foreign rivals make similar products in Japan and Germany.

IQE CEO Jutta Meier warns China's export controls on indium phosphide are creating critical supply risks for AI and telecom chips as wafer prices

A legacy application rarely operates alone. Behind an application that appears to support one business function may be decades of connections across source code, databases, shared libraries, batch jobs, schedulers, APIs, files, integrations, reporting pla

Why COBOL and Mainframe Modernization is Still an Enterprise Challenge Ask a bank, an insurer, or a state agency what runs their core transaction processing, and the honest answer is frequently a COBOL application on a mainframe that has been in continuou

Building one successful AI application no longer sets out any of the financial services apart. The real differentiator is how quickly the next ten will reach the operationalization stage. Finance automation teams discover that every new AI initiative crea

A fraud detection model gets milliseconds to approve or reject a transaction, thousands of times a second, with no room to pause and ask for a second opinion. That's the environment production AI actually operates in across financial services, and it has

Chances are high that, in your healthcare records right now, a patient exists as three different people. "Robert Smith, DOB 3/15/1975" in one intake record and "Rob Smith, DOB 03-15-75" in another aren't obviously the same person unless something is speci

AI is becoming easier to build and much harder to judge. In McKinsey's latest survey, healthcare and life sciences scored 2.0 out of 4 in overall responsible AI maturity. While 43% reached Level 3 maturity in data and technology, fewer organizations showe

A US bank's core deposit platform does not fail because the COBOL is old. It fails because nobody currently employed can explain, with confidence, what a specific paragraph in a 40-year-old program actually does on the last business day of the quarter. Th

There is a version of AI adoption that looks impressive on paper and delivers very little in practice. The tools are deployed, the dashboards are live, and the outputs are faster. But the quality of decisions has not improved. The judgment behind the work