atlas by clearpeople

AI Glossary of Terms

The AI technology space is expanding rapidly and with that a whole new vocabulary needs to be learned. I have gathered many of those that I come across on a frequent basis (I actually maintain this as an internal resource in our company as well). For now, I have split into Generic AI terms; Semantic Kernel; Microsoft Copilot; and Advanced Terms.

Please let me know if have missed a term that you feel should be on the list.

Generic AI terms

Large Language Models (LLMs): Advanced AI models capable of understanding and generating human-like text based on the input they receive.

GPT and GAI (Generative Artificial Intelligence): Advanced AI models and techniques used for generating content.

Azure OpenAI Service: The cloud service where the LLMs used for Microsoft 365 Copilot are hosted.

DALL-E: An AI model developed by OpenAI for generating images from textual descriptions.

Prompts: User queries or questions that Microsoft 365 Copilot responds to using the sophisticated map.

Prompt Engineering: The process of designing and optimizing prompts to get desired outputs from AI models.

Vector: A mathematical representation that combines phrases, meanings, relationships, and context of data.

Vector Database: A database designed to store and manage vector data, which can be used in conjunction with embeddings. 

Embeddings: Embeddings are a type of word representation that captures the semantic meaning of words based on their context in a high-dimensional space. In machine learning and natural language processing, embeddings transform discrete categorical variables (like words) into continuous vectors of fixed dimensions. These vectors capture semantic relationships between words, meaning that words with similar meanings tend to have vectors that are close to each other in this space.

7 ways law firms use digital workplace technology

Innovative legal firms know that improving efficiency and better collaboration gives them a competitive edge. They are on the lookout for technologies that enhance their operations and provide high quality client experiences.

With examples from some of our legal customers, this blog explores how law firms use technology like Atlas to streamline their processes and enhance user and client experiences – and how this impacts productivity. 

AI Learning Resources for Knowledge, Information and Intranet Managers

There is a lot of information out there about AI and in particular Generative AI - and locating a few decent learning courses for beginners can feel a bit daunting. 

Useful guide to lessons learned and how to automate this for successful project management

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:

Public ChatGPT vs Atlas Prometheus

You may be one of the many pondering over this question: How do I provide access to ChatGPT (or other LLM type of AI) while protecting your IP (intellectual property) and governing the results.

And it is clear, you are not alone, as we are seeing an big increase in enquiries from Atlas customers -and prospective customers - looking to understand how to deliver safe and useful approaches for their users to engage with AI, and therefore would like to understand more about Atlas Prometheus.

Overview of Bing Chat Enterprise

Microsoft today (July 18 2023) announced Bing Chat Enterprise, an AI-powered chat solution for businesses. Bing Chat Enterprise is rolling out in preview today and is included at no additional cost in Microsoft 365 E3, E5, Business Standard and Business Premium. Microsoft announced that in the future, it will be available as a stand-alone offering for $5 per user, per month.

Unlocking success: knowledge management for law firms

Strategies for gathering and harnessing knowledge have existed in law firms for decades. And one of the key reasons is that the ability to access, share and leverage knowledge effectively can make a significant difference in client service, efficiency and the firm’s overall success.

How to deny external users calling your Azure AD secured API

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.

Get your people and content ready for Microsoft 365 Copilot

The hype and buzz created by the release of ChatGPT 3.5, followed by announcements of Microsoft's investments in OpenAI and Microsoft 365 Copilot (M365 Copilot), was unprecedented and was obviously incredibly interesting to follow and be part of.

What has followed has been equally interesting. After the initial jaw drops and eyes-wide-open reactions we've been speaking to a number of organisations, and we've learned that a general consensus is taking shape.

While the use of AI within organisations is inevitable, there are real concerns and questions around trust, risk and security – and a realisation that you need to get organised first. In other words, before leveraging M365 Copilot in earnest, it is clear to all that we must first have content managed and under control. We also need to understand how to prepare our colleagues to work – or not work – with this technology.

Increase revenue through digital innovation in knowledge management

Much is spoken about return on investment when considering how to improve and evolve your digital knowledge management platforms. How about looking at this purely in terms of increased revenue?

The challenge for many organisations is to grow while maintaining profit margins, particularly during changeable economic times. Making access to and the sharing and contribution of digital content and knowledge effortless will directly contribute to the increase of revenue. This blog will set out examples of how this can be achieved.