September 25, 2026
31
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Reading Time: 8 minutesThis is a version of a post that was originally published on LinkedIn. Agentic AI has a big problem. Not a model problem. Not a prompt engineering problem. Not an agent framework problem. But a data problem. As organizations race…
Reading Time: 4 minutesIn 2026, the gap between AI leaders and AI laggards in banking won’t be measured by model accuracy. It will be measured by how fast a bank can activate trusted data at the moment of decision. Banks have reached a…
Reading Time: 3 minutesFor years, enterprises have invested heavily in cloud-native lakehouses like Snowflake and Databricks to unify analytics at scale. These platforms are powerful—the culmination of decades of innovation in analytic technology stacks, starting with enterprise data warehouses, continuing through the “big…
Reading Time: 3 minutesIn an always-on world, citizens expect the same level of service from public institutions as they do from their banks, retailers, or ride-hailing apps: fast, seamless, and personalized. But government agencies are still catching up – because they’re hampered by…
Reading Time: 5 minutesFinancial institutions today are facing an overwhelming surge of transient data—high-velocity, short-lived, and often mission-critical. From streaming trade data and fraud signals to real-time KYC updates and credit scoring models, the tempo of financial operations has shifted to milliseconds. Yet…
Reading Time: 4 minutesGenerative AI (GenAI) is no longer a novelty or optional experiment for financial institutions. From global banks to asset managers and fintech upstarts, it is rapidly becoming the cornerstone of next-gen transformation. But unlocking real value—and avoiding headline-making risks—requires more…
Reading Time: 3 minutesIn the world of financial services, the data opportunity is enormous—but so is the execution gap. As institutions modernize with cloud, lakehouses, and open finance ecosystems, they’re discovering a hard truth: consolidation alone doesn’t activate intelligence. We’re standing at the…
Reading Time: 3 minutesA few months ago, I spoke with the head of data architecture at a leading European bank. They’d just completed a multi-year investment in a modern data lakehouse platform — a combination of Databricks on Azure, paired with legacy systems…
Reading Time: 6 minutesIn today’s rapidly evolving financial landscape, banks and financial institutions are undergoing massive digital transformations. They’re striving to maintain competitive advantages against both traditional rivals and new digital-first challengers. However, many organizations face a significant hurdle: the presence of legacy…
