Microsoft AI is Exciting: A New Era of Intelligent Apps and Copilots

In recent times, Microsoft has been making significant strides in the field of artificial intelligence (AI), and we are thrilled to see the exciting developments that have taken place. The company has been working tirelessly to create intelligent apps and copilots that can make our lives easier and more productive.

One of the most notable announcements made by Microsoft is the introduction of AI Studio, a unified data analytics platform that brings together all the tools that data professionals need in one place. This platform offers a unified experience, allowing users to integrate and store data in a single link, a SAS data Lake for the entire organization. The data is stored in an open format, enabling a single copy to be used to train machine learning models, visualize data, and run SQL queries on the lake.

The AI Studio platform also brings together all the necessary pipelines for orchestrating data movement, experiments for training machine learning models, semantic models for defining key metrics, and much more. This comprehensive platform is designed to simplify data analytics and make it more accessible to a wider range of users.

In addition to AI Studio, Microsoft has also been working on integrating its various AI tools and services into a seamless experience. One notable example is the introduction of interoperability between ChatGPT and Bing for plugins. This means that users can write plugins once and deploy them across multiple platforms, including both chatGPT and Bing.

This new level of interoperability opens up a world of possibilities for developers and users alike. With the ability to write plugins once and deploy them across multiple platforms, users can create more efficient and effective AI-powered tools. This is particularly exciting for businesses and organizations that rely on AI-driven solutions to streamline their operations.

The integration of AI Studio with Microsoft 365 Copilot is another significant development in this space. Copilot is a powerful tool that enables users to interact with AI models in real-time, asking questions and receiving answers in response. The addition of Copilot to the AI Studio platform opens up new possibilities for data professionals, allowing them to automate tasks such as editing documents and analyzing data.

For instance, when working on a document, users can call upon plugins like Thompson Reuters to edit the contract and provide analysis on California law. This level of automation enables users to focus on higher-level tasks, rather than getting bogged down in tedious and time-consuming work.

The introduction of Microsoft AI Studio and its various tools and services is an exciting development that marks a new era in intelligent apps and copilots. With its unified data analytics platform, interoperability with multiple platforms, and integration with Microsoft 365 Copilot, this technology has the potential to revolutionize the way we work and live.

Moreover, Microsoft AI Studio brings together all the necessary tools for data professionals, including pipelines for orchestrating data movement, experiments for training machine learning models, semantic models for defining key metrics, and much more. This comprehensive platform is designed to simplify data analytics and make it more accessible to a wider range of users.

In addition to its technical features, Microsoft AI Studio also has significant business implications. By providing a unified data analytics platform, the company can help businesses streamline their operations and make data-driven decisions more easily. The integration with multiple platforms and plugins also enables developers to create more efficient and effective AI-powered tools.

Another exciting development is the introduction of interoperability between ChatGPT and Bing for plugins. This means that users can write plugins once and deploy them across multiple platforms, including both chatGPT and Bing. This new level of interoperability opens up a world of possibilities for developers and users alike.

For instance, imagine being able to write a plugin once and deploying it across multiple platforms, including chatGPT and Bing. This would save time and effort, as users would no longer need to create separate plugins for each platform. The ability to deploy plugins across multiple platforms also enables businesses and organizations to streamline their operations and make data-driven decisions more easily.

Moreover, the interoperability between ChatGPT and Bing for plugins is particularly exciting for developers who want to build AI-powered tools that can integrate with multiple platforms. With this new level of interoperability, developers can create more efficient and effective AI-powered tools that can work seamlessly across different platforms.

In conclusion, Microsoft AI is an exciting development that marks a new era in intelligent apps and copilots. The introduction of AI Studio, interoperability between ChatGPT and Bing for plugins, and integration with Microsoft 365 Copilot are all significant developments that have the potential to revolutionize the way we work and live.

The unified data analytics platform offered by AI Studio brings together all the necessary tools for data professionals, including pipelines for orchestrating data movement, experiments for training machine learning models, semantic models for defining key metrics, and much more. This comprehensive platform is designed to simplify data analytics and make it more accessible to a wider range of users.

Moreover, the interoperability between ChatGPT and Bing for plugins opens up a world of possibilities for developers and users alike. With the ability to write plugins once and deploy them across multiple platforms, users can create more efficient and effective AI-powered tools that can work seamlessly across different platforms.

The integration with Microsoft 365 Copilot is another significant development in this space. Copilot is a powerful tool that enables users to interact with AI models in real-time, asking questions and receiving answers in response. The addition of Copilot to the AI Studio platform opens up new possibilities for data professionals, allowing them to automate tasks such as editing documents and analyzing data.

In conclusion, Microsoft AI is an exciting development that marks a new era in intelligent apps and copilots. With its unified data analytics platform, interoperability with multiple platforms, and integration with Microsoft 365 Copilot, this technology has the potential to revolutionize the way we work and live.

"WEBVTTKind: captionsLanguage: engood morning it's fantastic to see you all welcome to build we are bringing such grounding and being to chat GPT we are very excited about this yeah you can clap look chat GPT is the most sort of fast-growing consumer app we've ever seen and such grounding is very key feature right so that all the information is current and grounded uh by what you have from the crawl on the index and so it's fantastic to see that we are excited to be able it's going to launch in chat GPD plus immediately and quickly coming even to the free tier uh and we're this is just the start of what we plan to do with our partners in open AI to bring the best of being to the chat GPT experience um next we're bringing the co-pilot to the biggest canvas of all windows today as Satya said we're excited to announce that we're going to bring chat GPT and Bing together as with the default search experience to give you higher quality answers and more timely answers let's take a look here I am in Chachi PT and as you can see now Bing is the default and when I come in and select it I can now ask sort of real-time queries for example let's ask what I should expect to hear from about build and Dot net and what you can see is the results now are more up to date they include fresh content and they include citations in fact if you can see the links on that page there you can click those and they'll take you straight to a web page that's sourced by Bing we're also excited yeah absolutely you can clap right we're also excited to announce that we're going to bring interoperability between chat GPT and Bing for plugins so you write them once and they're going to run everywhere so as you can see here in chat GPT I've got Zillow and instacart enabled but I want to show them to you here in Bing chat so we'll flip over and you can see again I've got the same plugins now in both Bing chat and in chat GPT and what we're going to show you now is I'll do a search here for houses in Chicago and I can ask for a set of criteria learn a little bit about the neighborhoods and now I can automatically call Zillow by saying hey give me three houses in a certain price range that meet my criteria now what you can see is now I get these great options and I'm also going to get all of the other great things you get with Bing like helpful City Guides and maps and prompts I'm going to tell you now how we're going to further add value to the plugins that you write they're going to work not just in chat and chatgpt they're going to work across the entire web courtesy of the edge browser so here's an example I'm on a web page here checking out a recipe for a cake and now I can call Bing chat and ask it to tell me hey give me the ingredients from this webpage and notice Bing can read the context of the web page understand those ingredients put them into chat and then I can say hey give me a shopping list for this and it'll automatically call the instacart plug-in take those ingredients right off the page and put them into an instacart shopping and with one click I can get those now delivered to my house this is incredible productivity benefit for people uh let's let me show you now how yeah let's show you how you'll be more productive at work uh here I'm going to use Microsoft 365 Copilot I now I'm in Microsoft Word and I'm going to need some help for drafting a legal contract I got a legal contract here and I need some help with California law so I'm going to call three plugins from Thompson Reuters to edit this document first thing is I'll go into copilot and I'll I'll pull it up and I'll say hey help me understand how to edit the limitation of liability using the Practical law plug-in it'll read the document find the paragraph and make that change next I want to know if this is enforceable under California law so I'll call the West law plug-in that will do that analysis and it'll come back and give you an analysis about it from a legal perspective and finally since we're making lots of changes I'd like to know the summary of all of these changes and with document intelligence I get a simple table that shows you all of those changes in an easy to read format by joining the power of Microsoft 365 copilot in word with the support of these real powerful plugins like Thompson Reuters now you can draft a legal contract in so much more powerful way Studio this is the full life cycle tool chain for you to be able to build your intelligent AI apps and your co-pilots everything from being able to train your own models uh to be able to then ground whether it's open AI or any open source model with data of that you bring built-in Vector indexing in Azure search built-in support for rag or retrieval augmented generation support um or a built-in support for prompt engineering with prompt flow and orchestration and of course built-in support for perhaps the most important feature which is AI safety one of the things that we've been hard at work is to build into the tool chain AI safety it's it's we've been at work on AI safety for the last five years we have principles which we have translated into a core set of processes that we Implement across our engineering stack and then of course we have all of the compliance and oversight but the real challenge is not just to have these things outside the Engineering Process but to build it into the everyday tool chain and that's what we're doing with AI Studio introducing Microsoft fabric a unified data analytics platform one product one Experience One architecture one business model unified data is stored in one link a SAS data Lake for the entire organization data is integrated and stored in an open format allowing one copy to be used to train machine learning models visualize data and run SQL queries on the lake and data warehouse a unified experience brings together all the tools data professionals need pipelines for orchestrating data movement experiments for training machine learning models semantic models for defining key metrics and much more thank you very much and have a fantastic buildgood morning it's fantastic to see you all welcome to build we are bringing such grounding and being to chat GPT we are very excited about this yeah you can clap look chat GPT is the most sort of fast-growing consumer app we've ever seen and such grounding is very key feature right so that all the information is current and grounded uh by what you have from the crawl on the index and so it's fantastic to see that we are excited to be able it's going to launch in chat GPD plus immediately and quickly coming even to the free tier uh and we're this is just the start of what we plan to do with our partners in open AI to bring the best of being to the chat GPT experience um next we're bringing the co-pilot to the biggest canvas of all windows today as Satya said we're excited to announce that we're going to bring chat GPT and Bing together as with the default search experience to give you higher quality answers and more timely answers let's take a look here I am in Chachi PT and as you can see now Bing is the default and when I come in and select it I can now ask sort of real-time queries for example let's ask what I should expect to hear from about build and Dot net and what you can see is the results now are more up to date they include fresh content and they include citations in fact if you can see the links on that page there you can click those and they'll take you straight to a web page that's sourced by Bing we're also excited yeah absolutely you can clap right we're also excited to announce that we're going to bring interoperability between chat GPT and Bing for plugins so you write them once and they're going to run everywhere so as you can see here in chat GPT I've got Zillow and instacart enabled but I want to show them to you here in Bing chat so we'll flip over and you can see again I've got the same plugins now in both Bing chat and in chat GPT and what we're going to show you now is I'll do a search here for houses in Chicago and I can ask for a set of criteria learn a little bit about the neighborhoods and now I can automatically call Zillow by saying hey give me three houses in a certain price range that meet my criteria now what you can see is now I get these great options and I'm also going to get all of the other great things you get with Bing like helpful City Guides and maps and prompts I'm going to tell you now how we're going to further add value to the plugins that you write they're going to work not just in chat and chatgpt they're going to work across the entire web courtesy of the edge browser so here's an example I'm on a web page here checking out a recipe for a cake and now I can call Bing chat and ask it to tell me hey give me the ingredients from this webpage and notice Bing can read the context of the web page understand those ingredients put them into chat and then I can say hey give me a shopping list for this and it'll automatically call the instacart plug-in take those ingredients right off the page and put them into an instacart shopping and with one click I can get those now delivered to my house this is incredible productivity benefit for people uh let's let me show you now how yeah let's show you how you'll be more productive at work uh here I'm going to use Microsoft 365 Copilot I now I'm in Microsoft Word and I'm going to need some help for drafting a legal contract I got a legal contract here and I need some help with California law so I'm going to call three plugins from Thompson Reuters to edit this document first thing is I'll go into copilot and I'll I'll pull it up and I'll say hey help me understand how to edit the limitation of liability using the Practical law plug-in it'll read the document find the paragraph and make that change next I want to know if this is enforceable under California law so I'll call the West law plug-in that will do that analysis and it'll come back and give you an analysis about it from a legal perspective and finally since we're making lots of changes I'd like to know the summary of all of these changes and with document intelligence I get a simple table that shows you all of those changes in an easy to read format by joining the power of Microsoft 365 copilot in word with the support of these real powerful plugins like Thompson Reuters now you can draft a legal contract in so much more powerful way Studio this is the full life cycle tool chain for you to be able to build your intelligent AI apps and your co-pilots everything from being able to train your own models uh to be able to then ground whether it's open AI or any open source model with data of that you bring built-in Vector indexing in Azure search built-in support for rag or retrieval augmented generation support um or a built-in support for prompt engineering with prompt flow and orchestration and of course built-in support for perhaps the most important feature which is AI safety one of the things that we've been hard at work is to build into the tool chain AI safety it's it's we've been at work on AI safety for the last five years we have principles which we have translated into a core set of processes that we Implement across our engineering stack and then of course we have all of the compliance and oversight but the real challenge is not just to have these things outside the Engineering Process but to build it into the everyday tool chain and that's what we're doing with AI Studio introducing Microsoft fabric a unified data analytics platform one product one Experience One architecture one business model unified data is stored in one link a SAS data Lake for the entire organization data is integrated and stored in an open format allowing one copy to be used to train machine learning models visualize data and run SQL queries on the lake and data warehouse a unified experience brings together all the tools data professionals need pipelines for orchestrating data movement experiments for training machine learning models semantic models for defining key metrics and much more thank you very much and have a fantastic build\n"