Living in a world where technology constantly redefines our possibilities, the introduction of ChatGPT was truly groundbreaking. And as we are immersed in this technological universe, we want to keep you updated on the news involving the GPT Chatbot and Microsoft’s newest darling, Copilot. Check it out!

Living in a world where technology constantly redefines our possibilities, the introduction of ChatGPT was truly groundbreaking. And as we are immersed in this technological universe, we want to keep you updated on the news involving the GPT Chatbot and Microsoft’s newest darling, Copilot. Check it out!

With Artificial Intelligence (AI) gaining ground in business strategies, Microsoft made a decisive move by investing about $10 billion in the OpenAI’s AI solution in early 2023.

Soon, the technology world was filled with exciting announcements. In early 2023, Microsoft revealed plans to integrate ChatGPT into key platforms such as Bing, Microsoft Teams, and Power Platform.

This integration promised to revolutionize the way professionals use these tools, making their workflows more efficient and productive.

These developments did not go unnoticed. Google, seeing Microsoft’s approach, called upon its founders, Larry Page and Sergey Brin, to counter the “threat” that ChatGPT represented. The battle for technological supremacy was intensifying.

But it wasn’t just Google that felt the pressure. Salesforce, a leader in CRM solutions, also felt compelled to invest even more in its own artificial intelligence, Einstein IA or Einstein GPT, in response to the advance of the competition. Salesforce, which had already been investing in OpenAI through Slack, had to accelerate its plans.

And while the market adjusted to these changes, Microsoft didn’t stop. In late 2023, it launched Microsoft 365 Copilot, along with Microsoft 365 Chat, bringing AI assistants to corporate customers that promised to radically transform the way we work.

This journey, marked by innovation and fierce competition, highlights the central role that AI is playing in the next era of technology.

The future looks exciting and full of promise, with AI shaping the path to new possibilities and opportunities.

Features implemented in the Power Platform with the Chatbot GPT

We list some features here, but it’s important to reinforce that they have not yet been released, so they may change upon release. It’s important to remember that the service is priced, and billing for all Chatbot GPT usage began on March 13, 2023.

Microsoft Copilot Studio

Have you ever been in a situation where you ask a chatbot a question and it doesn’t have the answer? Usually, it asks you to rephrase the question or offers the option to talk to a human, right?

Microsoft Copilot Studio, formerly known as Power Virtual Agents, steps in to transform this experience. It is designed to extend Microsoft Copilot in Microsoft 365, allowing the creation of custom co-pilots for various scenarios, both internal and external.

With generative artificial intelligence integrated into the chatbot, before forwarding the question to a human, Copilot Studio uses natural language processing to analyze the user’s message.

If there is no specific topic for that interaction in the conversation, it can search for information in publicly available URLs on Bing. The results of this search are presented in simple language, as in a conversation, to improve the user experience.

Microsoft Copilot Studio simplifies the creation of custom co-pilots, offering a comprehensive platform for designing, testing, and publishing co-pilots. With the ability to create native extensions for Microsoft Copilot in Microsoft 365, users can easily develop topics with generative AI and integrate company-specific APIs.

Furthermore, Copilot Studio integrates with OpenAI’s custom GPTs, expanding its functionalities and enabling the import of GPT models to meet the needs of end-users. In other words, chatbots will now be less “robotic” in their responses and less dependent on the initial conversation settings. Cool, right?!

Moreover, this will make the implementation of a chatbot more agile, as it will not be necessary to manually create several topics that may or may not cover all the questions users will ask.

Updates!

For the 1st Wave release cycle this year, several exciting updates are scheduled, such as:

  • Native features to extend Microsoft Copilots
  • IVR support in conjunction with Dynamics Customer Service
  • General availability for generative actions, with geographic expansions to United Arab Emirates, Germany, Norway, Korea, South America, and South Africa
  • Advanced features for integration with OpenAI’s GPTs, along with new channels such as WhatsApp
  • Software lifecycle management features, including import and export at the topic level and role-based access control (RBAC)

Want to know more about each of them and when they will be available, just click Salesforce,.

AI Builder (Power Apps and Power Automate)

Four years ago, Microsoft announced AI Builder, followed by Power Apps Ideas, which was the first infusion of generative AI. These two milestones democratized access to complex AI models in Power Apps and Power Automate, bringing features such as category classification, object detection, forecasting, sentiment analysis, and other features.

With the addition of the GPT chatbot, Microsoft is further expanding the low-code generative AI capabilities of AI Builder. This means that developers and programmers will be able to use pre-built models to interact with AI and create specific requests for their workflows, significantly reducing development time.

In AI Builder, you can take advantage of the latest generative AI features of Azure’s OpenAI service, creating, testing, and deploying GPT prompts to gain valuable insights.

Furthermore, there are pre-trained AI models available for immediate use in scenarios such as invoice processing, sentiment analysis, text translation, and optical character recognition. To meet the specific needs of your business, it is possible to create custom AI models, adapting the AI according to your demands.

AI Builder also offers governance and security features, allowing you to control who has access to AI technology and monitor its use in the organization. In practice, this means that even a junior developer can ask the AI to explain the code left by a senior developer who has left the company.

This is just one of the many possibilities that ChatGPT with Power Apps and the Power Platform offer, showing that we are just beginning to explore the potential of this technology. This year, we will have several exciting updates!

Updates!

  • Access Control: Manage who can access AI Builder models through the admin center.
  • Lifecycle Management: Manage the application lifecycle with support for model datasets.
  • Experimentation with AI Builder: Experiment with AI Builder with the Power Apps developer plan.
  • New IA Capacity Management Experience: Use the new IA capacity management experience for administrators.
  • Monitoring of LLM Activity Records: Monitor LLM activity records for creators and administrators.
  • Extension Credit Enablement: Administrators can enable or disable extension credits for AI Builder.
  • Monitoring AI Builder Model Usage: Monitor AI Builder model usage for creators.

To learn more about each of them and when they will be available, just click here.

Power BI and the Chatbot GPT

If you work with Power BI, you know how writing DAX formulas can be challenging. But what if I told you that now you can have some extra help? Microsoft has integrated the GPT chatbot into Power BI, through Copilot, allowing you to ask questions and perform operations using natural language.

With Copilot, you will be able to boost your productivity in DAX query view. It can write and explain DAX queries for you, making the use of queries even easier.

Just imagine, you type in what you want in a DAX query and Copilot does the rest. It even adds explanatory comments for each part of the generated DAX query, showing that it was generated with Copilot from your prompt. Additionally, you will be able to adjust existing DAX queries, adding additional group by columns or making other adjustments.

Copilot will show you all the changes made with an inline diff editor, so you know exactly what was added, removed, or updated. With Copilot, you can also create new measures and test them directly in the DAX query view.

And if you need to modify the semantic model by adding the measure from the DAX query, you can easily do so with CodeLens. And there’s more! In the DAX query view with Copilot, you can discover more about DAX functions or topics, all without leaving the context of where you are working. No more need to resort to a search engine to find answers.

Moreover, business users will be able to ask questions about data and get meaningful answers without needing to contact a data analyst. This will accelerate the adoption of Power BI in companies of all sizes and segments, making it more accessible and easy to use for everyone.

Conclusion

Artificial Intelligence (AI) technology can cause some butterflies in humans, but it is undeniable that it is a great ally for organizations using low-code development platforms.

The advantages offered by the integration of these technologies, such as Power Platform and OpenAI Chatbot GPT, are numerous: they provide a more intuitive and iterative experience for citizen developers, while accelerating development for professionals in the field.

Just imagine, being able to count on a virtual assistant that writes complex formulas for you, explains DAX queries in detail, and can even create custom measures. This not only simplifies work but also speeds up the development process, allowing more projects to be completed in less time.

Are you excited about these new possibilities? Do you know of any new features that we didn’t mention here? Share with us in the comments! We love to exchange ideas and learn more about this fascinating topic.