Mir Arshad Ali·Oct 8How to Deploy Agentic AI in Banking with ZizkaDB: A Step by Step GuideBanks want agents that triage fraud alerts, handle disputes, support underwriting, and monitor for money laundering. The constraint is that…
PEMiG·Oct 4Before the Model Goes LivePEMiG Credit Intelligence Brief | October 2026 By Felix Sifuna, Co-Founder & CEO, PEMiG
Samit Kumar Banerjee·Oct 2A twenty-year view of banking data transformationInterestingly, those same two decades also span my engagements with the Banking Industry. This has given me an unusual opportunity to…
Maveric Systems·Sep 23Why Banking Needs AI Architecture, Not AI ProjectsBanks can launch dozens of AI projects without becoming AI-first. Enterprise advantage appears when deployments share an architecture for…
martino.agostini·Sep 22If AI Is Transforming Banking, Why Does Banking Still Feel the Same?Banks are entering one of the most consequential technology transformations in decades. Artificial intelligence is accelerating analysis…
Maveric Systems·Sep 21The Hidden Architecture Behind AI-Ready Core Banking: Query-Level ValidationEnterprise data quality controls tell a bank whether a dataset meets general standards. AI decisions need a more granular answer: whether…
Maveric Systems·Sep 20When the Core Becomes an Inference Engine: What Changes for Banking ArchitectureAI-enabled core banking is not simply a faster core with models attached. It introduces an inference layer that assembles context for a…
Opustechnologies·Sep 6The 18 Percent Problem in Banking AIOn 24 June 2026, Personetics published a survey of 902 banking professionals drawn from more than 30 countries. Close to 80 percent of them…
AdwumaTech AI·Sep 4CISD 2026 Part 2: From Compliance to ResilienceThis is Part 2 of our look at CISD 2026. If you missed Part 1, start there for an overview of the directive, what it introduces, and why it…
