In today’s fast-paced digital environment, companies like yours consistently have to innovate, adapt, and empower their teams to do the same are the ones that thrive. When it comes to platforms like the Microsoft Power Platform, many organizations have powerful, scalable tools at their disposal but may struggle to fully leverage them. This is where […]
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Deep learning is a technology driving advancements in AI, but how? In this blogpost we will start by understanding its roots in neural networks, inspired by how the human brain processes information, and break down how deep learning enables machines to learn and make decisions with minimal human intervention. What is a Neural Network? Firstly […]
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As organizations adopt the Power Platform to streamline workflows and boost productivity, data security takes centre stage. With powerful tools come significant responsibilities (think SpiderMan), particularly when it comes to protecting sensitive information. Data Loss Prevention (DLP) policies are a crucial aspect of any Power Platform environment that enables teams to innovate securely. Let’s take […]
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Formerly known as Azure AI Studio, the newly rebranded Azure AI Foundry has officially entered preview, offering a comprehensive, unified platform for developers and IT teams to manage and scale AI applications. This change focusses on Microsoft’s commitment to creating a centralized hub for AI discovery, deployment, and management, simplifying how organizations interact with the […]
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The way we interact with technology is always changing. Now that AI is becoming a central part of how we work, Microsoft is looking at making it easier than ever for developers to create intelligent, seamless experiences. This is where the Microsoft 365 Agents SDK, a new powerful toolkit designed to unlock the potential of […]
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Machine learning comes in three primary flavours: supervised learning, unsupervised learning, and reinforcement learning. Each type has its own purpose, approach, and applications, and in this blog post I hope I can help you break them down to understand each type. Supervised Learning In supervised learning, our goal is straightforward. We’re looking to predict a […]
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Let’s start with the fundamentals: What is machine learning? Back in 1959, Arthur Samuel from IBM defined it as a way for computers to “learn” without being explicitly programmed (A. L. Samuel 1959). Instead of spelling out each rule, we show the computer examples, and it learns patterns on its own.
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So, digital transformation is evolving, the structure of your Power Platform environment is as crucial as the solutions you build on it. From streamlining development processes to ensuring data integrity and security, a well-planned environment strategy is foundational to getting the most out of the Power Platform. Here’s what a scalable environment strategy looks like […]
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