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One of the biggest misconceptions in AI today is how well it can actually predict things – especially things that are rare. This is most directly applicable to Machine Learning (as they are just statistical models) but the same principle applies to LLMs. The fundamental problem is the same and AI is not magic. In reality, AI’s predictive power is more complicated. One of the key challenges? False positives—incorrect detections that can significantly undermine the value of AI-driven decision-making. Let’s explore why this happens and how businesses can better understand AI’s limitations.
A quick case study on how I went from a Figma presentation to a working Svelte page in less than an hour – with the help of AI and some clever tooling.
As the European Accessibility Act (EAA) approaches its enforcement date on June 28, 2025, businesses must prioritise accessibility to ensure compliance and inclusivity. The EAA sets new standards for software, e-commerce, banking, digital devices, and more, aiming to make products and services accessible to all, including people with disabilities and the elderly. Non-compliance could lead to significant penalties across the EU. At NewOrbit, we believe that accessibility is not just a legal requirement—it’s good design. Take advantage of our free initial review to assess your compliance and stay ahead of the deadline.
Discover the newest additions to our blog—fresh insights, real-world case studies, and practical strategies from our team and contributors. These articles build on the ideas introduced above, offering deeper dives into the topics that matter most. Whether it's emerging technologies, proven business practices, or thought-provoking commentary, you'll find content designed to inform, challenge, and inspire.
One of the biggest misconceptions in AI today is how well it can actually predict things – especially things that are rare. This is most directly applicable to Machine Learning (as they are just statistical models) but the same principle applies to LLMs. The fundamental problem is the same and AI is not magic. In reality, AI’s predictive power is more complicated. One of the key challenges? False positives—incorrect detections that can significantly undermine the value of AI-driven decision-making. Let’s explore why this happens and how businesses can better understand AI’s limitations.
A quick case study on how I went from a Figma presentation to a working Svelte page in less than an hour – with the help of AI and some clever tooling.
As the European Accessibility Act (EAA) approaches its enforcement date on June 28, 2025, businesses must prioritise accessibility to ensure compliance and inclusivity. The EAA sets new standards for software, e-commerce, banking, digital devices, and more, aiming to make products and services accessible to all, including people with disabilities and the elderly. Non-compliance could lead to significant penalties across the EU. At NewOrbit, we believe that accessibility is not just a legal requirement—it’s good design. Take advantage of our free initial review to assess your compliance and stay ahead of the deadline.
The release of DeepSeek R1 adds another tool to the AI landscape but does not require businesses to change their strategies. Its open-sourcing may drive innovation, increase competition, lower AI costs, and challenge OpenAI’s dominance. Notably, it operates with significantly lower energy consumption, offering environmental benefits. While data privacy concerns exist, businesses should stay informed, experiment with different models, and continue their AI adoption without disruption.
With the explosion of Copilot agents in recent years we look at API plugins for Microsoft Copilot and assess how easy they are to use and how useful they can/could be.
With the explosion of Copilot agents in recent years we look at Microsoft graph connectors and how they can be used within your business to extend the functionality of Microsoft Copilot as well as other Microsoft 365 product and services.
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