- New research and analyst tools are here for Microsoft 365 Copilot
- New deep reasoning tool in Copilot Studio uses models like Openais O1
- It will take the time to analyze and recognize patterns to make better decisions
Microsoft has announced a number of updates to its Copilot -Generative AI tool to take advantage of the latest innovations in AI, including utilizing Openai’s most powerful models, as well as two new agents designed for work.
The company says its new research and analyst tools will bring Copilot-driven advanced reasoning for everyday work, making employees more productive and efficient.
“They analyze large amounts of information with secure, compatible access to your working data – your E emails, meetings, files, chats and more – and the Internet to provide very qualified expertise as needed,” has a Microsoft 365 blog posts announcing the new releases read.
Researcher and Analyst in Microsoft 365 Copilot
Microsoft says the new research agent will appear to provide insight, “with greater quality and accuracy than previously possible”.
It will use both Openai’s deep research model with Microsoft 365 Copilot’s advanced orchestration and deep search features to tackle complex or multi -stage tasks, such as building a marketing strategy, or building a quarterly report based on all your working data.
Researcher can also connect to third -party data to provide even more comprehensive insights, with those such as Salesforce, ServiceNow, Confluence and more feeding directly to Microsoft 365 Copilot, as well as other business agents and the recently specified sales chat.
The analyst is built on Openai’s O3-Mini-Reasoning Model and is focused on advanced data analytics tasks, using reasoning and python chain to help convert raw data into demand forecasts, trend visualizations and revenue advancements.
Deep reasoning comes to Microsoft Copilot
Takes to LinkedIn to advertise the changes introduced Business & Industry Copilot CVP Charles Lamanna Deep Reasoning in Copilot Studio, which uses advanced reasoning models such as Openais O1 for tasks that require detailed analysis, methodological thinking and nuanced understanding.
Lamanna highlighted how these models take more time to analyze complex data sets, recognize intricate patterns and make thoughtful decisions, making them ideal for tackling complex problems.
Copilot takes into account input analysis and instructions to decide when it is appropriate to spend the extra time utilizing deep reasoning, but Lamonna also explained that agent manufacturers can choose to include the key word ‘ground’ to invoke deep reasoning as part of a user’s prompt.
At the same time, Microsoft Raised Wraps from agent flows, which are designed to connect the holes where AI agents have proved not to be so skilled. “Between agents and agent streams, it is possible to automate any task you can imagine,” added Lamonna.
Agent streams are designed for repeated tasks such as document processing, routine financial approvals and compliance tasks, and they can operate either independently or as skills in existing agents.
In an example, Lamonna describes how an agent power can direct customer feedback to a feedback tracking agent for summary and creation of action points or to a customer service to answer the customer’s questions and take steps to solve the problem.
The last piece of the puzzle allows companies to automatically respond to signals through 50 pre-built triggers — they are called autonomous agents and promise to improve efficiency across the device’s procurement, discovery of supplier, fraud prevention and other knowledge work.
Deep reasoning in Copilot Studio is available in preview today, where agent streams are set to become generally available on March 31.
