Teams | Collaboration | Customer Service | Project Management

As a cloud architect, you’re going to have to embrace AI as part of your job — unless handcrafted artisan cloud becomes a niche in the future. But this doesn’t mean that you’re going to be left by the wayside. Anybody who has used AI coding tools knows that interesting things can happen when decisions are left up to them. So, that means decision-making should be left up to the people and the code writing to the AI bots … right?

Picture this: You own a baby products eCommerce store and use AI to breakdown customer purchase habits and recommend products. The model automatically recommends related items, bundles items, and optimizes inventory ahead of demand spikes. Sales increase and stockouts reduce. At first, the model serves its purpose without hiccups. But then customers begin complaining about wrong gender item matches. You call in the expert only for them to realize that your training data is biased.

Support teams usually feel the pain first. The same questions keep coming in, new users get stuck in the same spots, and agents spend time repeating fixes that should be self serve. A strong knowledge base is one of the cheapest ways to reduce that load because it does two jobs at once. It helps customers solve problems quickly, and it pulls in high trust search traffic, since people tend to believe official help docs more than generic blog posts.

There are millions of macOS users around the world who use the system professionally. Likewise, accurate time tracking on these Apple devices is also crucial for accurate payroll processing, auditing, and client billing. Time tracking software for Mac users is the need of the hour. Written by: Sagar Modi.

SPI Research has proven that there’s a 7.7x difference in profitability between the most and least mature professional services firms. But nobody’s explained why that divide happens—until now. We surveyed 303 firms across the United Kingdom, United States, Australia, Canada, and beyond to find out. Their answers reveal where most firms are getting stuck. And what the top performers are doing differently.

In today’s digital workplace, information is both a powerful asset and a persistent challenge. Organizations generate more content than ever, yet employees often struggle to find what they need when they need it. Knowledge becomes trapped in disconnected systems. Teams duplicate work because they cannot locate existing documents. Critical insights remain hidden simply because the path to them is too fragmented. Search should bridge these silos.

With hybrid work growing rapidly, tracking, managing, and increasing remote work productivity is the new norm. Businesses must employ the best tools, tips, and strategies for ensuring that distributed teams remain highly engaged, digitally secure, and consistently capable of delivering results Written by: Ashissh Mahaan.

This month, we're turning "what ifs" into reality with new features that cover everything from forecasting pipeline demand, AI-powered custom reports, and giving your in-app working experience a glow-up.

Planning blindspots, delayed approvals, and unreliable time data can stall even the best-planned projects. Our March release addresses these pain points head-on. Now you can assign roles to tasks to forecast resource needs before your project team is confirmed. Trigger instant email alerts for financial document approval requests for a faster turnaround. Plus, new time management improvements will safeguard your data integrity and accuracy at every step.

In the modern product landscape—especially for AI-oriented and fast-moving engineering teams—velocity is the ultimate currency. Developers have flocked to Linear because it is lean, fast, and stays out of the way. However, for Product Managers and Marketing Leaders, execution is only half the battle. To gain a true competitive advantage, you need to ensure that every sprint is actually moving the needle on your long-term business goals.