Operations | Monitoring | ITSM | DevOps | Cloud

The Skills Gap Behind Most Failed Microsoft Dynamics 365 Implementations

Microsoft Dynamics 365 is one of the most capable enterprise platforms available today. It brings together CRM, ERP, finance, supply chain, field service, and customer engagement into a single connected environment, with deep integration across the Microsoft ecosystem. The platform itself is mature, well-documented, and actively developed. Yet a significant proportion of Microsoft Dynamics 365 implementations deliver less than expected, run over budget, miss deadlines, or require costly remediation work after go-live.

DSCR Loans in Ohio: A Practical Guide for Real Estate Investors

I ran the numbers on a Cleveland duplex last month: gross rent of $2,400, taxes eating $380, insurance at $140, and a mortgage payment of $1,650. The DSCR was 1.14, too thin for most lenders. One change, switching to a cheaper landlord policy, pushed the ratio to 1.22 and turned the file into an approval. That is Ohio DSCR lending in one line. The property's cash flow carries the deal, and small expense changes can decide the outcome.

The Best Shopify Mobile App Builders in 2026, Ranked and Reviewed

More than 60% of ecommerce traffic now comes from mobile devices, yet most Shopify stores are still relying on a mobile website to capture it. The conversion gap between mobile web and a native app is significant, with benchmarks consistently showing in-app conversion running three to four times higher than mobile browser sessions.

From Tools to Teammates: A Practical Framework for AI Agents in Network Operations - Du'An Lightfoot

AI agents are quickly moving from experimentation to real-world deployment in network operations — but how do you adopt them without introducing unnecessary risk? In this session from AI for Network Leaders – Powered by Selector, Du’An Lightfoot shares a practical framework for building and deploying AI agents in production network environments. He covers: This session cuts through the hype and provides a clear, actionable model for teams looking to move from AI as a tool to AI as a teammate.

Diff-erent Perspectives: How Specialized LLM Personas Catch More Bugs

We’ve built a multi-LLM PR reviewer that runs on every pull request in a couple of our own repos. Two independent models look at each change in parallel, each wearing a set of “persona hats” tuned to a specific area of the codebase. They compare notes, duplicates get stripped out, and the PR author ends up with a single review comment rather than a wall of noise.