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.
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.
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
An important pillar of the AWS well-architected framework, cost optimization is one of the most popular, and pertinent objectives in cloud computing today. This article covers the principles of cost optimization and technical must-do’s to achieve a cost optimized infrastructure.
Cost optimization means delivering business outcomes at the lowest price point possible.
"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.
In today's cloud-driven world, optimizing costs for your AWS infrastructure is crucial for maintaining a competitive edge and ensuring long-term sustainability. This article will explore the various approaches to AWS cost optimization, helping you make informed decisions about your strategy.
Navigating the nebulous realms of cloud computing without data visualization is like trying to find your way through a fog with a flashlight that’s running out of batteries. Intentional data visualization not only dispels the fog but also highlights the path to efficiency, cost savings, and heightened security in the cloud. Just as a picture is worth a thousand words, a good chart is worth a thousand rows of data.
Here’s why businesses that harness the power of data visualization for their cloud data aren't just surviving; they’re thriving.
This article explores the strengths, limitations, and usage costs of the following: