Naresh Babu

AI-assisted delivery does not need a new lifecycle. It needs governed, versioned artifacts that carry business intent from specification through production and back again, so people and agents work from the same source of truth. Your development teams are probably already using AI to generate code, tests and documentation. The system around them has barely […]

Seventy percent of banking technology spend goes to keeping existing systems alive. AI-assisted engineering is how that ratio finally changes. Every bank and insurer is running the same arithmetic. Customer expectations move in weeks. Regulatory change arrives on its own schedule. The core systems that process the money were written decades ago in COBOL, and […]

Financial institutions are not constrained by how fast they can build. They are constrained by how much change they can absorb without destabilizing critical services. Financial institutions have spent the past decade accelerating delivery. Continuous integration and continuous delivery are in place. Automation keeps improving. AI is now entering engineering workflows across customer engagement, operations, […]

More than 80 percent of AI initiatives collapse, and it is almost never the model that fails. It is the governance around it. The number that should concern a financial services board is not an adoption statistic. More than 80 percent of AI initiatives collapse, a failure rate nearly double that of traditional IT projects, […]

Outdated core systems are on track to cost global banks more than $57 billion a year by 2028. The board decision is no longer whether to modernize, but how much risk to take in a single night. Almost every bank has now conceded the argument. The core is the constraint. Real-time payments, agile product launches, […]

Billing drives up to half of every telecom contact centre’s call volume, and it is the one system most operators have left untouched for a decade. Every telecom operator has a digital transformation programme, a self-serve app and at least one AI pilot. Almost none of them have fixed the bill. Billing remains the number […]

Telecom networks are turning into distributed computing platforms. The operators that treat that as an architecture decision, not a 5G upgrade, will own the enterprise workloads that follow. Telecom operators are being asked to deliver low-latency services, AI workloads, and enterprise applications on networks that are already fragmented, and to do it without adding cost […]