AWS for Financial Services: A Cloud Migration Guide

Financial services firms face a difficult technology mandate: improve digital products, make data more useful, and create room for AI while maintaining the resilience and control expected of critical financial systems. Aging infrastructure can slow that work, but cloud migration changes more than the location of an application. It changes how teams manage access, deploy software, recover services, and produce evidence that controls are working.

How to Architect Amazon Bedrock Knowledge Base Ingestion Pipelines

Best practices for S3 ingestion, Redshift access, multimodal content, and retrieval at scale

Many Amazon Bedrock implementations start with what looks like a straightforward goal: connect structured and unstructured data sources, make them accessible to a foundation model, and enable natural language interaction. What becomes clear very quickly is that the quality, reliability, and cost of the solution depend heavily on decisions made at the data layer (not in the model or prompt design).

The Security vs. Cost Conundrum - Is Your Cloud Data "Secure Enough"?

"Secure enough" may be a controversial perspective, but let's face it - many, many, many cloud customers are simply putting off security due to hotter priorities. If we can intentionally arrive at a state of "secure enough," this implies a lot of positives, namely: we've assessed overall security posture, explored costs and feasibility, implemented measures, given a stamp of approval (for now), and established an incremental improvement plan.
 

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