- The new researcher and analyst tools are there for Microsoft 365 Copilot
- The new deep reasoning tool in Copilot Studio will use models like O1 of Openai
- It will take time to analyze and recognize models to make better decisions
Microsoft has announced a series of updates from its generative co -pilot AI tool to take advantage of AI’s latest innovations, in particular by pressing the most powerful models of Openai, as well as two new agents designed for work.
The company claims that its new tools as a researcher and analysts will bring advanced reasoning powered by the co -pilot to daily work, making employees more productive and effective.
“They analyze large amounts of information with secure access and in accordance with your work data – your emails, meetings, files, cats, etc. – and the web to provide highly qualified expertise on demand”, a Microsoft 365 blog article announcing the new read versions.
Researcher and analyst in Microsoft 365 Copilot
Microsoft says that the new researcher agent will try to provide information, “with greater quality and precision than possible”.
He will use both the in-depth research model with the advanced orchestration and the in-depth research capacities of Microsoft 365 Copilot to tackle complex or multi-stage tasks such as the creation of a market sales strategy, or create a quarterly report based on all your work data.
The researcher can also connect to third -party data to provide even more complete information, with Salesforce, ServiceNow, Confluence and more food directly in the Microsoft 365 co -pilot, as well as other business agents such as recently announced commercial chat.
Built on the O3-Mini of Openai reasoning model, the analyst focuses on advanced data analysis tasks, using the reasoning of a chain of thoughts and python to help transform raw data into demand forecasts, trend visualizations and income projections.
Deep reasoning arrives at Microsoft Copilot
Take in LinkedIn to announce the changes, the commercial co -pilot and the industry The CVP Charles Lamanna has introduced in -depth reasoning in Copilot Studio, which uses advanced reasoning models like O1 of Openai for tasks that require a detailed analysis, a methodical thought and a nuanced understanding.
Lamanna stressed how these models take more time to analyze complex data sets, recognize complex models and make thoughtful decisions, makes them ideal for solving complex problems.
Copilot takes into account the analysis of the inputs and the instructions to decide when it is appropriate to spend an additional time to take advantage of the in-depth reasoning, but Lamonna also explained that the manufacturers of agents can choose to include the keyword “reason” to invoke in-depth reasoning in the context of a user’s prompt.
At the same time, Microsoft has raised the flow of envelopes agents, which are designed to connect the gaps where AI agents have proven to be so capable. “Between agents and agent flows, it is possible to automate any task that you can imagine,” added Lamonna.
The flows of agents are designed for repetitive tasks such as processing of documents, financial routine approvals and compliance tasks, and they can work either independently or as skills within existing agents.
In an example, Lamonna describes how an agent flow can direct customer comments to a comment monitoring agent for the summary and the creation of action points, or to a customer service agent to answer customer questions and take measures to solve the problem.
The last piece of the puzzle will allow companies to automatically react to signals through 50 predefined triggers – they are called autonomous agents and promise to improve efficiency through the supply of devices, the discovery of suppliers, the prevention of fraud and other knowledge work.
Deep reasoning in Copilot Studio is available in preview today, with agent flows that should generally be available on March 31.
