Dealer management systems (DMS) sit at the center of automotive retail operations. They connect sales, financing, service, parts, inventory, customer records, and reporting across a network of dealerships and outside partners.
Most companies have more AI pilots than AI systems in production. According to Deloitte’s State of AI in the Enterprise 2026, only 25% of organizations have moved 40% or more of their AI pilots into production. Respondents reported that while their AI strategy is prepared, they felt less confident on infrastructure, data, risk, and talent.
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.
For ecommerce companies, pressure to improve digital experiences, absorb unpredictable demand, and launch new capabilities faster is exposing the limits of legacy infrastructure that wasn't built for the way the businesses now operate and sell.
For manufacturers, pressure to increase productivity, respond faster to supply chain disruptions and changing customer demand, and make greater use of operational data, automation, and AI is exposing the limits of aging on-premises infrastructure and driving migration to AWS.
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).
Cloud operators, founders, and IT leaders share how they're managing cloud storage costs. From data-driven access audits to lifecycle automation to the forgotten capacity reservations hiding outside the standard cost report, here's what's working... and what's not.
Explore essential cloud migration and modernization strategies. You'll learn:
Why most cloud migrations fail and common pitfalls to avoid
A practical framework for migration and modernization that works across AWS and Azure
In today’s cloud-first world, designing infrastructure that is both secure and cost-efficient is a top priority for any organization building on AWS. Whether you're launching a startup, modernizing legacy systems, or scaling enterprise workloads, getting the architecture right from the start is critical.
