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Microsoft have The largest enterprise has built a EI agent ecosystemAnd now, the company extends its leadership with strong new opportunities that are strong new opportunities that are stronger than the most interesting segments of the enterprise’s technical equipment.
The company announced two important additions to the Copilot Studio platform: Deep meditation skills that allow you to solve complex problems with automation of the EU counter-existence process by automation. Microsoft also presented two specialized deep thinking agents for Microsoft 365 Copilot: researchers and analytics.
« Microsoft Corporate Vice President Copilot Charles Lamanna, Microsoft’s corporate vice president in Monday. » You have to have an agent who can help you to fulfill it faster. «
Different analytical agent of Microsoft
The researcher agent, Microsoft analyst, which reflects the capabilities of competitors from opponents such as Openai’s Deep Research and Deep Research of Google, represents a different offer. Analytical agent, which is designed to work as a personal information scientist, can process various sources of information that generates ideas through the code execution and visualization, including Excel files, CSVs and installed tables.
« This is not a base model from the shelf, » Lamanna said. « This is a little extension and the regulation and training on top of basic models. » Microsoft has a deeply concept of Excel work flows and data analysis of Excel work flows and data analysis to create an agent in business users.
Analyst can automatically create a python code to process loaded data files, to view business concepts from users without demanding technical expertise. This is especially valuable for the use of financial analysis, budget forecast and operating reporting usually requires extensive information.
Deep Thought: Brings Anti-Critical Thinking Educations to Enterprise Agents
Microsoft’s deep thinking capability goes beyond the completion of simple tasks to complex judgment and analytical work. By the Openai O1, these agents can more methodically resolve the problems of unknowingly by connecting developed thinking models.
The system dynamically determines the deeper thought, when the users include « this cause » or « thinking about it », or determine the way to thinking or thinking. It analyzes the platform instructions behind the scenes, evaluates the context and chooses appropriate means based on task requirements.
This allows scenarios that have previously been difficult to automate. For example, a large telecommunications company uses deep thinking agents to create complex RFP responses from the source of many internal documents and knowledge by collecting information from the source of many internal documents and knowledge. Similarly, Thomson Reuters, these opportunities are trying to develop the devices to identify the necessary research and infectious in combinations and purchase reviews. View the following video in the video See the instance of the agent:
Agent Streams: Automation of the Reconstruction Process
Microsoft also introduced the flow of agent who effectively developing the automation of the robot process by combining rule-based working streams with the AI substantiation. This appeals to customer requirements to connect determinist work logic with flexible AI capabilities.
« Sometimes they do not want the model to be free. They want the EU to ask for their decisions. They want to have a coded work rules, » Lamanna said. « Other times agent want free and judgmental calls. »
This hybrid approach allows scenarios such as intelligent fraud prevention, which can use a conventional logic to a pre-consignment request for deep analysis of agent flow policy documents.
Retail pets in the UK, retail pets, placed this technology to prevent fraud. Lamanna announced that the company saved « from £ one million » through the implementation. Similarly, the Dow chemical « Millions of dollars saved for transport and cargo management » was carried out through the agent-based optimization.
Below is a video that the agent flows at work:
Microsoft Graphic Advantage
Microsoft’s agent strategy is a comprehensive map of employment relations between central, people, documents, emails, calendar events and business information, its enterprise information integration through Microsoft Grapher. It provides contextual conscious agents that have a lack of common models.
« Microsoft Graph’s less known hidden ability is that we can develop the actuality on the basis of engagement on the basis of engagement and how long the files closure. » Lamanna said. The system, which documents are referred to, shared or interpreted, and provides more referred to sources than obsolete copies.
This approach gives an important competitive advantage over Microsoft’s standalone AI providers. Although competitors can offer advanced models, Microsoft, this job is optimized for the use of the context and the use of enterprise and Microsoft tools by combining a thin tuning.
Microsoft, Lamanna’s rivals can use the same web information and model technology, « But we also have all the content inside the enterprise. This creates a flight effect that further enriches the understanding of the affiliation of the graph of each new agent interaction.
Admission and accessibility of the enterprise
Lamanna, Microsoft has prioritized to make these powerful opportunities accessible to organizations with various technical resources. Agents are exposed directly inside the copylot, allow users to interact in natural language without emergency engineering experience.
Meanwhile, Copilot Studio provides a low-coded environment for the development of a special agent. « It’s not only for people who can download and call a Python SDK, but it can make calls, but these agents can also start building, » Lamanna stressed.
This accessibility approach is fast adoptive. Microsoft reportedly used the Copilot Studio of more than 100,000 organizations and this More than 400,000 agents were created in the last quarter.
A competitive view
Although Microsoft appears to be caused by an enterprise agent today, the competition is intensified. Google has expanded the tilts of twins For agents and Agent codingwhile Openai’s O1 model and agents SDK offers powerful thinking and agent tools for developers. Great enterprise appealing companies such as SALESFORE, Oracle, Servicenow, SAP and others, have all agent platforms for customers in the last year. Also on Tuesday, Amazon’s ASTS AS ADB agent, called Quickyight on Amazon Q, left an AI agent to provide information analysis without data analysis.
Employees can use natural language to conduct expert-level data analysis, if any, if you have questions, unlock new ideas and decide faster
However, Microsoft’s advantage is a more comprehensive approach, Openai, as well as model selection, enterprise-class infrastructure, venturing instruments, and workplace tools and pay attention to RAW AI opportunities. Microsoft has created an ecosystem that combines individual copilots with individual work patterns with specific work processes for specific work processes.
An entity is a message for decision makers: Agent technology has matured outside the measurable ROI and practical work applications. The choice of the platform depends on the integration of existing tools and information. In this area, Microsoft, for example, is an advantage in many applications in the number of users in Excel and power automated.
Follow the full interview with the following Charles Lamanna to hear how Microsoft’s agent manages how to use these new opportunities for enterprise users and how to use organizations that can be measured by organizations.
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