Blog posts

In today’s fast-paced product development world, leveraging the power of artificial intelligence is not just a luxury—it's a necessity. A staggering 66% of product leaders trust AI to summarize and analyze results, yet only a fraction, 15%, fully utilize its capabilities (Pendo.io). In this blog post, Iwill share how weuse Atlas AI Assistant, a tool that's revolutionizing the way we approach product management at ClearPeople.

The talk about AI has gone from science fiction to DIY, seemingly overnight. First, we saw the roll out of ChatGPT, then the announcement of Microsoft 365 Copilot, and finally…. Bam! Now, everything is AI. There is even an AI toothbrush and an AI-powered beehive. With so much hype, it’s not surprising pressure is mounting within organizations to ‘do something’ with AI. It’s not a stretch to say that business today is experiencing AI FOMO. That’s why a 2023 Gartner report finds a whopping 85% of organizations are in early stages of exploring AI, with 70% investigating and 15% piloting Generative AI programs.

Numerous businesses rely on Microsoft 365 for collaboration, productivity, and content storage. While it's a powerful platform, managing content within Microsoft 365 can quickly spiral into chaos if not properly organized and governed. This phenomenon is known as "content sprawl." In this blog, we'll explore what content sprawl is, its challenges, and most importantly, effective strategies to manage content sprawl in Microsoft 365 and optimize your productivity.

A lesson learned is a record of what was done, why it was done that way, and what went wrong. It is a summary of the project's successes and failures, and it helps future projects to avoid repeating mistakes.

In this blog we will explore:

Recently, we had the need to deny External (also referred to as Guest) users to consume some endpoints of our Atlas API. You should be aware that if your Tenant has enabled external users, an external user can get a valid token and call your AAD secured API. This might or might not be what you want.

In an era of Artificial Intelligence (AI), the importance of AI governance cannot be overstated. As organizations increasingly rely on AI, the need for a comprehensive governance framework to ensure ethical, transparent, and effective AI utilization becomes paramount. This blog delves into the essence of AI governance and the intricacies of content governance in the AI era, offering insights and strategies for navigating this complex landscape.

Knowledge management (KM) systems are an investment. But when implemented correctly and applied with the mindset of continuous engagement and improvement, a knowledge management system is well worth investing in. We share the lessons our clients have learned when implementing KM systems.

As mentioned in my previous article, we have integrated ChatGPT in our Atlas product. This was both challenging and fun. The OpenAI API is well documented, so is the Azure OpenAI service. However, one of the things that is not completely documented, is the Stream option. This allows you to call the API and get the response as a stream of data, so you are getting data from the very first second, and you don´t have to wait for the entire response. Note that depending on your request, ChatGPT can take some seconds until you get the response, so from a UX point of view, it is potentially a better experience if you start showing data while the response is fully completed.

Rubbish in. Rubbish out.

Anyone involved in building or delivering search solutions, or enterprise content management more widely, will subscribe to this mantra. Which, if said in more diplomatic terms, means that if you don't have good content, how can you expect to have good outcomes? Such as high quality search results.

Unless you are in a desert island with no internet connection, you have heard about ChatGPT. In its own words (and I really mean it, as I have asked ChatGPT for a short summary about it):