Microsoft And Openai Just Unleashed AI Agents - (Copilot Agents + Demo)

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Microsoft And Openai Just Unleashed AI Agents - (Copilot Agents + Demo)

TheAIGRID 21.10.2024 95 740 просмотров 1 239 лайков

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Prepare for AGI with me - https://www.skool.com/postagiprepardness 🐤 Follow Me on Twitter https://twitter.com/TheAiGrid 🌐 Checkout My website - https://theaigrid.com/ 00:00:00 Microsoft announcement 00:00:30 Copilot overview 00:00:59 Agent constellation 00:01:29 Autonomous agents 00:01:51 Business processes 00:02:14 Public preview 00:02:43 New capabilities 00:03:03 Autonomous triggers 00:03:29 Agent functionality 00:04:05 Dynamic planning 00:04:53 Activity overview 00:05:39 OpenAI models 00:06:57 Safety measures 00:08:43 Data protection 00:09:37 Agent management 00:10:46 Agent examples 00:12:52 Copilot agents 00:13:58 Agent creation 00:15:06 SharePoint integration 00:15:57 Action capabilities 00:17:34 Real-world applications 00:18:24 Microsoft implementation Links From Todays Video: Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos. Was there anything i missed? (For Business Enquiries) contact@theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience

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Microsoft announcement

today Microsoft put the AI industry on hold they announced their new autonomous AI agent capabilities across co-pilot studio and Dynamics 365 to help scale the impact of every individual this is SAA Adela the CEO of Microsoft tweeting that today they're announcing exactly what agents are going to look like and in this detailed video I'll show you everything you need to know about the coming rise of Microsoft's agent and how they're going to impact the future of your work and lastly we will show you

Copilot overview

how you can extend co-pilot with agents co-pilot is becoming this new Enterprise orchestration layer yesterday's bespoke interactions with siloed business applications will just simply become co-pilot agents I cannot wait to see what you do with all these new capabilities so here we have it co-pilot is your AI assistant it works for you and co-pilot Studio enables you to easily create and manage and connect agents to co-pilot it says think of

Agent constellation

Agents as the new apps for AI powered world every organization will have a constellation of Agents ranging from simple prompt and response to fully autonomous I think we need to truly understand that statement they're currently stating that every company in every organization is going to be transformed imagine having an army A Workforce a constellation as Microsoft put it of Agents ranging from simple prompts to fully autonomous and that's one of the things we're going to dive

Autonomous agents

deep into this video because fully autonomous agents are pretty Next Level they can complete a series of tasks over a longer time Horizon and execute more work saving you more time it continues to state that they will work behal on behalf of an individual team or function to execute and orchestrate business processes copala is how you'll

Business processes

interact with these agents and they'll do everything from accelerating lead generation and processing sales orders to automating your supply chain also good goes on to talk about empowering more customers to build autonomous agents in copilot Studio it says earlier this year we announced a host of new powerful capabilities in co-pilot Studio including the ability to create autonomous agents and next month this is

Public preview

where the key thing is because this is the date next month these capabilities are shifting from private to public preview allowing more customers to reimagine critical business processes with AI and it says here which I've highlighted agents draw on the cont text of your work data in Microsoft 365 graph systems of record data verse and fabric and can support everything from your it help desk to employee onboarding and act as a personal consur for sales and service so let's not focus on the mumbo

New capabilities

jumbo let's actually take a look at what these agents are going to do and what kinds of Agents we're actually going to be getting and working with so on the article it says that today we're announcing new agentic capabilities that will accelerate these gains and bring AI first business processes to every organization first the ability to create

Autonomous triggers

autonomous agents with co-pilot studio will be in preview next month and second they're introducing 10 new autonomous agents in Dynamics 365 to build capacity for every sales service finance and supply chain team so it seems Microsoft is ramping up their ability to have agents that are doing real tasks in the real world so this is where Microsoft talks about autonomous triggers so this

Agent functionality

is basically how agents are going to work so it says that agents can automatically respond to signals across your business and initiate tasks they can be configured to react to events or triggers without human input that instead originate from various tools system or datab bases even scheduled to run hourly daily weekly or monthly so you can see here that this is quite like automations but I'm guessing that this will be an advanced automation so you can have a trigger set so that when something in your business occurs somewhere you can have the agent that picks up on that and then of course

Dynamic planning

reacts to that in this example you can see that this agent is a supply chain multi-agent and it is being configured to have certain triggers that could help out the business next is where we've got the dynamic agent plan so this is where we can actually see exactly how these agents work so it says each business process can have different paths since agents create Dynamic paths on the flly to handle and complete tasks and users can view the underlying Logic for each of the agents paths which include key details steps and systems involved this provides insight into why the agent chose a particular method its decision process and context along with detailed steps including variables and outputs which are crucial for debugging so overall what we can see here is the

Activity overview

agent plan and luckily we can actually see what these agents are actually planning understanding exactly what they planned and of course changing these plans to get a certain result I think it will be interesting to see what kind of plans agents choose as it says that agents can create Dynamic plans on the fly to handle certain tasks then of course we do have the activity overview which essentially shows you your previous agent runs so in the article it says that trust dependability and precision are at the core of establishing agent autonomy in organizations the true strength of these agents is their ability to monitor activities across real world scenarios which in turn enhances business outcomes and to further transparency and accountability we're launching an

OpenAI models

activity tab that enables makers to access a complete log of past agent runs including progress tracking identifications of blocks Trend analysis and review earlier decisions so in this area what you're going to be able to see is everything that your agent has done if it is completed and the apps that they use you can see that on the right hand channel the channels essentially which things these agents use in order to complete that task so this is going to be something that is really transparent so for those of you who might be worried about agents doing strange things behind your back and running off strange parts of the internet that is going to be something that won't happen now there's no surprise that this is going to be using the most advanced open AI 01 model it says that co-pilot Studio agents use the latest models including the open AI 01 series which is being used in The Limited private view for autonomous agents these models are optimized for advanced reasoning tasks enhancing the ability to solve complex problems and if you aren't familiar with the open AI 01 series those are the models that are quite different to your standard GPT 40 the openi 01 series is pretty much trained exclusively for reasoning which makes them perfect for these scenarios one of the things that most people

Safety measures

didn't realize is that yes you can use open ai1 for variety of different use cases one of the biggest use cases that we're going to be seeing on the back end is of course autonomous agents and with the advanced reasoning I can't imagine that these kinds of agents are going to fail being able to plan being able to execute certain tasks and have it all transparent in one area is going to be extraordinarily great for us who want to know exactly what is going on and of course for the allies ability of exactly what we're trying to do so this is where we have additional information for AI agents now I think AI agents are a new territory SL a new area because it's quite Uncharted we haven't had really autonomous agents in any sort of capacity so this is something that is quite new which means that we're going to have to ensure our safety security is top-notch so essentially Microsoft State the organizations today have what they describe as a wealth of tools at their disposal to ensure Safety and Security of their AI systems now when they say Protect sensitive data they use Enterprise grade measures designed to keep everything secure which is basically what we can think of like a high-tech Vault complete with multiple levels of encryption which basically just scrambles your information so only those who should see it can see it now they also talk about data prevention measures which is where they make sure that no data gets misplaced or falls into the wrong hands and a responsible AI strategy to handle unique related AI challenges like preventing prompt injection attacks which are as of recent papers pretty easy to do and these are

Data protection

essentially ways that people might try to trick an AI into giving away sensitive information so the data used by these AI agents is linked to strict security controls that are overseen from a centralized admin Center basically Mission Control where these rigorous authentication protocols ensure that only authorized people can access this sensitive data so the way that these AI agents behave is also going to be tightly controlled organizations can set specific guard rails to Define what these AI agents are allowed to do much like giving detailed instructions to a team member and these instructions include what the AI can access what actions it can take and how it should respond in different scenarios now organizations can decide who gets to create these AI agents who can share them and who can use them and additionally they can put policies in

Agent management

place like labeling certain information as highly confidential so that the AI knows how to drat these different kinds of data it's a bit like setting different levels of clearance ensuring that sensitive information is handled appropriately now managing these AI agents over time is of course going to be just as important as setting them up and this is basically like where you're overseeing a project from start to finish these organizations have a process governance that allows them to manage the AI agent's Journey from creation all the way to retirement and they can determine who can access the resources decide how these resources are used and of course control when an AI agent is ready to be released for wider use so beyond that they have the ability to audit what the AI agents are actually doing and monitor their performance so if these AI agents aren't doing well they might get fired just kidding they might make necessary adjustments to keep improving how they operate and this ongoing monitoring helps ensure that everything is running smoothly and complies with the required regulation and standards overall a comprehensive

Agent examples

security picture for Microsoft resulting in your data being secure considering the fact that we have these autonomous agents I would hope so now in terms of the examples of Agents Microsoft gives us an insight to the kinds of agents that are going to be available slash created so of the 10 autonomous agents that Microsoft is offering one of those is going to be a sales qualification agent and a profession where time literally equals money this agent enables sellers to focus their time on the highest priority sales opportunities while the agent researches leads helps prioritize opportunities and guides customer Outreach with personalized emails and respons sponsers this is one of the first examples that seems to be focused on doing mainly the tedious tasks that many people wouldn't want to do of course we have number two which is a supplier Communications agent and this agent enables customers to optimize their supply chain and minimize costly disruptions by autonomously tracking supplier performance detecting delays and responding accordingly freeing procurement teams from timec consuming manual mon time consuming manual monitoring and firefighting once again an agent doing the communication which seems like once again in the future it's going to be a lot of AIS talking to a lot of other AIS now of course we have the customer intent and customer Knowledge Management agents a business gets one chance to make a first impression and these two agents are game changers for customer care teams facing High call volumes Talent shortages and heightened customer expectations these agents work hand inhand with a customer service representative by learning how to resolve customer issues and autonomously adding knowledge based articles to scale best practices across the care team so overall we can see here that a lot of these agents seem to be in some kind of support role they don't seem to be taking on the majority of the work but they will be doing a lot of many different subtasks that are vital to the business but just timec consuming so

Copilot agents

these are the kinds of agents that Microsoft is going to be releasing I think we should take a look at what Microsoft have actually said regarding these agents earlier this year they did the Wave 2 presentation in which they gave us a really good showcase on what some of these agents going to be and I know I've already spoken about these agents in key detail but seeing this presentation this short snippet is going to give you guys the kinds of insights that you need to understand where these agents are going to head and then after this I'll get into some key ways organizations already using these agents and taking advantage of them introducing co-pilot agents broadly speaking agents automate and execute business processes working with or for humans they come in all shapes and sizes they can reason remember be trained and even no one ask for help agents range from simple promp and response to more advanced agents that automate repetitive tasks to sophisticated agents that are fully autonomous and can orchestrate other agents co-pilot agents do that and more they bring the power of Agents to you

Agent creation

right in the flow of your work they work for you in the background are fully managed and orchestrated by co-pilot and are incredibly easy to create co-pilot agents build capacity enabling you to scale your team like never before take a look we'll start in b chat where we can open a simple agent for a field service technician say you're on site and you get an error code you've never seen before you built a field service agent for exactly this it has access to all your product knowledge and can give you step-by-step instructions in real time now watch how simple it is for anyone to create the agent we just saw and add it to co-pilot you fire up agent Builder and describe what you want the agent to do it needs to be able to reason over your product catalog and repair tickets to provide step-by-step troubleshooting instructions let's connect it to SharePoint so it has access to all the knowledge it needs it's built in seconds so you can start using it immediately or edit and configure it to fit your needs you can expand its knowledge Base by tapping

SharePoint integration

into resources like SharePoint sites or other it approved data sources you can even update its name or image to align with your company's branding so let's do that you can test the agent right here or just hit create and you're done and of course the agent respects your organization's Microsoft 365 and SharePoint security permissions now your co-pilot agent is ready in bis chat and you can share it with your team over the years SharePoint has become the most used solution in the Enterprise for knowledge and business process today we're enabling you to turn every SharePoint site into an agent moving far beyond natural language search so you can fully leverage the value in his vast knowledge repository let me show you let's say 's

Action capabilities

an issue that requires further research and followup your team keeps all its customer records from deployment to maintenance reports on a SharePoint site it's a wealth of valuable insights that's largely been locked away kind of hard to extract until now you can create an agent with a single click from any SharePoint site library or folder an agent that deeply knows the information it was built on it can answer questions about Source material reason over that material and take action just like a well-informed teammate would in just a few seconds your co-pilot agent is ready to be used or shared with others let's add it to your team chat so everyone can work with the agent now all those artifacts and SharePoint are immediately accessible and useful so co-pilot can reason over all the relevant content to find what your team needs you can at mention the agent as you would any other teammate sharing new information and asking it questions and it will respond in real time let's take it a step further now we'll edit the agent we just built so it can take action on behalf of the team first open your agent in co-pilot Studio here you can customize the knowledge an agent has as well as the actions it can take you want it to be able to place an order for new parts with your procurement team let's connect it to Dynamics 365 Supply Chain management and in just a few seconds you're ready to update the agent and bring it back to the team chat where you're working on solving the customer's

Real-world applications

issue let's ask the agent to order the part it recommended your agent is on it asking you to confirm before moving forward once you give it the go-ahead it's done now the crazy thing about this is that this isn't just speculative companies are already using these kinds of agents to already increase Revenue you can see here it says organiz ations like Clifford chance McKinzie and Company pets at home and Thompson Reuters are already creating autonomous agents to increase Revenue reduce costs and scale impact pets at home the UK's leading pet care business created an agent for its profit Protection Team to more efficiently compile cases for skilled human review which could have the potential to drive seven figure annual savings and what's the craziest thing

Microsoft implementation

about all of this is that Microsoft aren't just all talk they're actually using AI agents themselves at Microsoft it says here at Microsoft we're using co-pilot and agents to reimagine business process across every function while empowering employees to scale their impact using co-pilot one sales team has achieved 9. 4% higher Revenue per seller and closed 20% more deals and thanks to co-pilot one team is resolving customer cases nearly 12% faster and our marketing team is seeing a 21. 5 increase in conversion rate on a. com with a custom agent designed to assist buyers and in Human Resources our Employee Self-Service agent is helping answer questions with 42% greater accuracy overall this is absolutely crazy a lot of the times we might see products released by companies but very rarely do you see the company implementing those themselves

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