TechHouse Blog
TechHouse is an IT partner made up of creative problem solvers who care deeply about helping customers reach their goals and make the world a better place.
When a hurricane is approaching, preparation is key to ensuring the safety and well-being of you and your loved ones. Here are some crucial steps to take before and during the storm and the best sources for up-to-date information on the storm’s path and intensity. Best Sources for Storm Information National Hurricane Center (nhc.noaa.gov) For...
In the past, businesses could refresh their technology every three or four years if it was hardware. For accounting software, it might be every seven years. Often, these refreshes didn’t even include training. Your team completed training only if you implemented a fundamentally new piece of software. Even in those cases, only a few people...
So many versions of Copilot are available, and they have been released in less than a year. It isn’t easy to know where to begin and how to get started. For beginners, we recommend understanding some of the Copilot products to focus your efforts on the area that will work best for you. Why Does...
Organizations need to prepare for significant shifts in IT budgets in 2025. Let’s explore the main areas to focus on:
Part 5: So, if this sounds like a lot, can I just ignore AI for now? One of our customers asked if they could just create a "No AI Allowed" policy and thereby avoid the AI challenges until everything is settled. Unfortunately, that could be quite hard to implement. Microsoft and LinkedIn published the results...
Part 4: AI as Collaborator: Guardrails, Ethics and Responsibilities Having an AI model available for prompt and response interaction is like having another team member to brainstorm with. With more perspectives, you can increase the probability of solving the problem, especially if that second person brings specific knowledge and understanding. Like the digitized, non-tested data...
Part 3: Precision vs Probability. Testing Limits In this world of getting the correct answer, there's an assumption that getting correct answers is what computers necessarily do. We have come to see computers as rigid deliverers of objective accuracy. At the end of the day, a computer's answers are founded on "bits." 010101. Either yes...
Part 2: Testing. Testing. 123 Testing Two key AI terms are training models and neural networks. A training model, well, you can train it and test the results, for example, with the OCR software we mentioned above. I have many invoices that I need to bring into my accounting software or ERP software. I can...