🔗 Study Reveals America’s Most Searched Slang Words 2025 / OHIO; mayonnaise

“for every $1 spent on model development, firms should expect to have to spend $3 on change management, which means user training and performance monitoring.” // How it started “AI-enabling the entire customer service stack of a typical business could lead to a 60 to 80 percent price increase, McKinsey says.” How it’s going: “while quoting an HR executive at a Fortune 100 company griping: ‘All of these copilots are supposed to make work more efficient with fewer people, but my business leaders are also saying they can’t reduce head count yet.

All I really need to know about socio-political culture I learned from 80s high school movies. 🔗 Performing Gender, Left and Right

“Laws can be opinions on inevitabilities in the world of software engineering, or wry observations on unavoidable realities.” // A round-up of all those laws and bromides tech world people use. 🔗 Hacker Laws

A vision for a kinder post-AI meltdown. Also, speculation about where AI code generation will stick and not stick. 🔗 GenAI Predictions

“According to IDC research, 72% of tech marketers say creating original, differentiated thought leadership is a top challenge. Even more cite difficulty connecting that content to real business outcomes. 37% of CMOs say creating a unified, omnichannel customer experience will have the greatest influence on their marketing strategy over the next 12 to 18 months.” And: “It’s not about doing more. It’s about making what you already do work harder to drive the engagement you need.

Your business processes are tribal knowledge passed down through email chains and hallway conversations. Before an AI can handle expense reports or customer inquiries autonomously, you need to document, standardize, and make machine-readable every workflow. That’s a multi-year project. 🔗 Your employees are already AI-augmented. Your enterprise isn’t. Here’s why that matters

”Prioritize sovereignty where it matters most. Not every workload requires sovereign infrastructure — and overengineering can be costly and inefficient. Focus on areas where sovereignty is critical: AI workloads, sensitive data, and operations in regulated industries. Use edge computing to process data locally and reduce compliance risks. Localized cloud options, including sovereign clouds and regional vendors, can help meet legal requirements without compromising agility. A surgical approach to sovereignty ensures strategic alignment and cost-effectiveness.

For those who prefer Kubernetes instead of a PaaS, there are good options that your organization likely already has. 🔗 Empowering Platform Engineers with native Kubernetes Multi-Cluster Management in VMware Cloud Foundation

As the kids say: 👀 ”This repository provides Authorization support for Spring AI integrations with the Model Context Protocol (MCP). It covers both MCP Clients, MCP Servers, and Spring Authorization Server.” 🔗 spring-ai-community/mcp-security: Spring Security Configuration for MCP