Digital Transformation is a term that gets used a lot but often its meaning is far more limited than it really should be.

AI is everywhere right now, but in tech circles there is an interesting debate going on. Should this be something we jump into now with both feet, or should we be waiting a checking off some of our other tech needs before even worrying about AI? In this episode we look at both angles to help you work out what's right for you.

Getting started with AI need not be complex or time consuming, and with a few simple tools and the right use cases you can start saving serious amounts of time with very little work or learning.

Is your Microsoft Teams a mess? Do you have a sprawl of Teams and other resources that make it difficult to get work done or find information? You're not alone. Many businesses adopted Teams and only later discovered that without real management it can become messy and confusing.

With Teams Phone you can have an entire business phone system within Microsoft Teams. This can be a game changer for productivity, ease of management, and modernizing your processes. This video outlines the basics of what Teams Phone is, 5 big advantages in using it, 3 issues you might want to consider before you try it, and aims to give you all the information you need to determine whether to check it out.

Your business probably has processes you need to modernize, they might depend on Excel. But what's the right path? Is Therman's instinct for SharePoint right? Or what about Nick's favored technology, Power Platform? What about other old technologies like Infopath or Access? And what exactly is going on with Planner?

At Microsoft Ignite a brand new Planner experience was announced to better integrate your tasks across To Do, Planner, and Project, to bring a more holistic work management experience to Microsoft 365.

With the inclusion of new capabilities like Copilot AI, this new tool might be a one-stop location whether you are looking to create a personal task list, manage group work, or orchestrate a complex project.

As AI continues to rise in prominence for making work more productive and efficient, a big question hangs over its head. What data was it trained on, and did the company doing the training have the right to use that data?

Content owners are restricting access to their data, they are looking for ways to make more money from its use, and some are even poisoning the AI's knowledge through creative means. But what does this mean for this innovative new technology, and, more importantly, what does it mean for how knowledge gets transferred between us in the future?