Microsoft 365 Copilot: What Actually Makes People More Productive with Adrian Espes [MVP]

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>> Yeah, well, everybody, to the M665FM podcast, where we explore the people, ideas and technology,

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sharing the future of work across Microsoft 365, co-pilot, AI, security governance,

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and modern workplaces.

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Today, we are focused on a fashion that sounds simple, but it's becoming increasingly important.

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Do Microsoft 365 co-pilot actually make people more productive?

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Not in a demo, not in a perfectly preparated keynote scenario, but on the normal Monday morning

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when you're dealing with meetings, emails, documents, teams, messages, deadlines, and all

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the other work that fills the day.

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My guest today is Arion S. Microsoft, MVP, Microsoft 365, co-pilot, consultat, and trainer

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ed, and Kamina.

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Arion has spent more than 60 years working across sales, data analytics, and modern workplaces

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comes out.

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Let's give him an interesting perspective because he doesn't approach co-pilot freely at

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technology problems.

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He focuses business productivity, understanding what really helps people work better, what

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creates unnecessary complexity, and what sometimes looks impressive, but does deliver much value

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in the real world.

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We are going to talk about practical Microsoft 365 co-pilot use cases, adaption, productivity,

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and so on.

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What Arion has learned from working with real users of the organization.

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Arion, welcome to the Amos 365 podcast.

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Thanks, Merikom.

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First of all, thank you for inviting me.

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This is actually my first time speaking English on a podcast.

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It's my first time because that I'm so sorry if I said different things because now my brain

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is only thinking Spanish and it's so difficult to meet, thinking another language.

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Thank you for your welcome.

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I don't remember the work now.

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My brain is...

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Introduction.

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For introduction.

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My brain sometimes attacks me.

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It frees my brain.

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My brain is freezing sometimes because I know that my brain thinks so faster than my mouth

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and I speak.

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I lost the words and I lost the things and I need to breathe and think the sentence or

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for saying that.

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Thanks for your welcome, Merikom.

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Thank you.

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So, before we get into co-pilot, how did you actually end up working in the Microsoft

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365 ecosystem?

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I don't understand you well.

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Oh, sorry. Before we get into the co-pilot topic, how did you actually end up working in

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the Microsoft ecosystem?

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What was your start?

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My start in Microsoft 365 ecosystem.

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I start...

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I need to think about the years because I don't remember the date, but it's...

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If I don't prong, I start to work with Microsoft 365 ecosystems, more or less seven, eight

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years ago.

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When I was working in a concentric, I was working in a concentric for ten years, more or less,

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and in this part of my work life.

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I was making trainings with people.

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I was making trainings with people and I used so much these tools because Microsoft 365 tools

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are the most...

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For me, the most important, the most important tools that we use in work life.

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Now you can use Google Workspace, you can use LibreOffice and you can use Microsoft 365

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ecosystem.

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And I started seven years ago, more or less, the phytomprong.

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The year for me runs very fast in the last few years.

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For me, if I take this another in another...

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I don't prevent that the word now, sorry.

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Last, for example, last three years for me is like three or four months, more or less, and

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seven years for me now it's two years, more or less because when I...

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I started with...

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When I started to use Microsoft 365 tools, I changed a lot my role in the companies that

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I've been working and I use some...

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I use some math, word excel, the typical tools, and then I'm introduced in my...

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in my work tools.

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But what be I?

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Yeah, but what be I?

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And then I changed completely my focus from training to be a more commercial profile.

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And then when I'm done now, I'm a Microsoft 365 consultant in Athena and Microsoft MVP in Microsoft

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365's co-pilot.

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Awesome.

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Yeah, you have this data on all the tech background, do you that influence how you think about

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co-pilot and AI?

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In that moment, no, because I was worked...

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I worked first time with Microsoft, Power BI in 2021, more or less, and in this year AI

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doesn't exist.

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And now I'm more focused in AI, in business workflows, in personal productivity or in collaboration.

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I don't focus...

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I don't focus in Power BI and AI in that.

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In that AI.

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For me, it's a pending subject because I put...

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I would like to learn about Microsoft Fabric.

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For me, Microsoft Fabric is...

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It's a huge, it's a huge mountain.

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And it's so difficult for me because I didn't have a technical knowledge in the aspect.

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I'm not an engineer.

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I'm...

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My studies is about economics, business analytics, business analytics for economics and business

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administration.

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I didn't study...

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I don't study...

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Sorry.

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I don't study anything about engineering.

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I know I'm a self-whistler word.

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Self-employed?

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Self-employed.

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Self-learning.

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I learned by myself, by my own, in this case.

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All of that I know about Microsoft 365 ecosystem or Microsoft 365 co-pilot is by my own

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or big or... or that my company in that case, in Camina, gives me the tools or give me the

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paths for learning about that, about these topics.

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Awesome.

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That's cool.

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That's cool.

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What would you say?

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Where do you think the Microsoft 365 co-pilot actually stands today?

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So if we ignore the marketing for a moment, how nature is the technology from the perspective

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of someone who uses it every day?

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I need to think about that.

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Please repeat the question because my brain.

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Today I have a rainy nose.

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I'm a rainy nose and my brain is full of other things that my brain doesn't think.

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Well...

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Yeah.

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How did you make sure the technology, the co-pilot today, will you say it's really productive,

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really productive, ready?

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Is there anything?

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I don't know compared to either I think Claude or GGPT, where it's still not so good, where

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it's better, what did you think?

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It's a...

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Now I understand the question.

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Is that tricky?

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A tricky question because I think that...

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Now we have different tools, different AI tools.

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We have perplexity, we have Jimmy and I, we have a GGPT Claude.

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And I think that...

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And I think that each AI tool is better for different type of activities.

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For example, I think that Microsoft co-pilot is...

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It's for me in my opinion, it's the best AI tool for be more productive, be more efficient

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in your work life because if you have the Microsoft 365 license, you can ask to your co-pilot

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about your emails, about your pending tasks or follow-up tasks.

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And it's more with the word in English, the word in Spanish, I have, I have the word in

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Spanish in my brain now, but in English it's different.

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I need to find another word.

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In that case, you can, you have Microsoft 365 co-pilot in, inside in your tools and be more

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efficient for me, this is the one of the most important things that Microsoft 365 co-pilot

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give us.

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By another way, on the other hand, I think that, for example, Claude, it's better for a

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developer, Claude is better for developer tasks because Claude have one of the most,

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or the best important thing, deeper reasoning.

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For example, in Microsoft, I think that GitHub is a tool of Microsoft in this case, in that

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case.

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And for example, in GitHub, you can choose different types of models of AI models.

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You can choose the Microsoft models, you can choose the Cloud models, the DPT models, you

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can choose the different type of model for making your, for making your, or for doing your

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tasks.

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I think that, I think that, you can select your model instead of, or instead of, no, you

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can select the model depends on the type of the task.

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For example, that DPT is more, it's more, more, more conversational.

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If you need to, for example, if you use that DPT, that DPT, it's more conversional than

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copilot if you need to make something, something with your documents with your Word document,

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you can, you need to share your documents with that DPT, telling that DPT to make the changes

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and then you can need to download the results with Microsoft copilot.

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You don't need to share the document in that case if you don't have Microsoft 365 license,

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you need to share the document and in that case, the documents are protected about, are

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protected with DP in that case.

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And Gemini, I don't use, I don't use so much Gemini, I can't start now with, with Gemini because

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I received, I benefit because I'm studying a degree and because I'm studying a degree,

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I received a license for one month and this month I need to try.

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I need to make four, compare the outcomes from, say, GPT, copilot and Gemini.

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For me Gemini is the best model language for create, create pictures.

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And Nanobanaana 8 is awesome, it's incredible.

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I love this model of reasoning for making, for making pictures.

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But now I need to say that if you use Microsoft copilot with Opus model, Opus model language,

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you can get a great pictures and it depends.

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So we can say, it's all great models and they are all there, I don't know, right to

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live, but the Microsoft copilot 365, it's living in the Microsoft ecosystem.

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So yeah, I think, I don't know, I use more AI foundry, so I'm not so deep that I have

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Opilot topic, but it's inside how it looks, teams words, PowerPoint.

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Yeah, you have.

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You have Microsoft 365 copilot inside of the most important tools.

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You can use it in Microsoft teams with your own chat, your one and one chat, your group chat,

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in your meetings with, for example, one of the most important uses inside of Microsoft

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teams is with the facilitator agent.

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If you activate, for example, if you're on a facilitator agent, this agent brights for you

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notes about your meeting.

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In other use, you can use, for example, copilot in the lateral chat, if you, like if you use

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copilot in Microsoft X, it's in the right, in the right side.

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You can ask about all about the conversation, if you, for example, if you, if you have an

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meeting and if you can relate to this meeting because you have any issue or you have any,

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any call, an important call from a client, you can ask to, to decide with copilot, and

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copilot answer you gets your, a summary about the meeting and this chat, it's private for

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you.

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For example, if you ask anything to a facilitator agent, this agent shows the outcome for all

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people because a facilitator agent is like another person, a person inside the meeting.

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He takes notes if you ask anything to facilitator, facilitator answer you and all of participants

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or attendees of this meeting can see the question.

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For example, if you come late to a meeting, I don't, I will, I recommend that don't ask

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to facilitator agent and ask to copilot, copilot chat in that case, you can use it inside

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of the tool and this is a great, it's an important, one is a great tool.

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For me it's one of the most, one of the best tools inside of Microsoft ecosystem.

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I know the tools for example, recently and I used them, I don't know who's the word,

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in English, in Spanish is coming, yes, in English I don't, I don't remember now.

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And it's recently that Microsoft have so many, so many changes in Excel.

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For example, eight months ago, if you need to use copilot inside of Excel, for me, don't

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have, I don't receive the outcomes that I hope in that case, I hope in that case.

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Now for example, this, this part, what changed more or less in December, December, January

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of this year, Microsoft gets an upload in the product.

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And now you can get different outcomes, you can get that dashboard, a financial dashboard,

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you can get different types of outcomes.

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Yeah, I think that's interesting.

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I have also the feeling at the start, it's more a clipy, so it's only says, okay, this

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is this, and then I say, okay, okay, I don't know the power point or the Excel and say,

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okay, chat you put your chips for me.

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So yeah, either it started, it was, yeah, yeah, it's more, more marketing than really helpful.

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What did you think for the employees?

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Did they have to become now, or prompt engineers or how, well, what separates for starters,

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a good copilot from a bad one?

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About prompting, this question is about prompting.

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Okay, I think that, I think that, we need to have,

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I would take a good, okay, I need to think about the question because my brain thinks so

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faster in Spanish and I couldn't think well in English.

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Okay, in that case, I think that we need to have a good techniques with prompting.

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We don't, I think that we, first of all, if you have your first, if you try AI at the first

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time, you don't need to be a prompt engineering because I think that, I think that, and I've read

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so much about that, your prompting technique improves when you practice, when you practice,

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when you practice with AI, you need to try, to try different types of different ways,

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just speak about, about, no, just speak with AI, you need to try different ways.

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If you need a general outcome, you can be more general, you can say, for example, hey,

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bye-bye, tell me, tell me, who is the weather today if I have also?

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Here, outcome was, her outcome, in this case, will be more general.

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If you need, and in, I need to start with this part because I'm confused.

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Okay, in that case, prompting, it's, I don't remember the words now, this is frustrating

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for me, yeah, this is frustrating.

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Okay, in that case, I think that prompting, it's,

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we need to explore our own techniques.

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For example, when I start, when I started speaking with co-pilot, and I start to speak,

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I just start to speak with co-pilot more or less three years ago when he appears in our

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lives, and I be more general when I speak with it.

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For example, please tell me who is the weather today, tell me who is the meaning for this,

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for this world.

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Prompting techniques for improved prompting techniques, you need to explore different ways,

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just in terms of ways to speak with AI.

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Sometimes, if you, for example, I use a technique, and in that case, for example, now when

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I have more, I be more, I don't think man, but the words, sorry, my, my, it's, it's, it's

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right in, it's so frustrating because I have the words in my brain, I couldn't speak.

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And then you repeat the question, please.

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Yeah, I, I, I, I start again.

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We think about the, the, the, what makes a co-pilot a good or a bad prompt, so if the people

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need to be a prompt engineer or, or not, what tips can you give to, to, to, to, to,

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Okay, work with, with our company.

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Okay, first of all, didn't need to be, uh, apparent the junior, uh, for speak with, to speak

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with AI.

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In that case, you need, you need to try, you need to try to speak by, uh, for, by different

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ways, for example, uh, first of all, our prompts, be more, um, generals are general, the,

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our prompts, the first prop, our first, first, prompt, be more, um, generals.

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And if you, for B of our obtain more efficiency with the outcomes with AI, you need to get

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more information.

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If you set, for example, if you set to AI, uh, how's the weather in Tharawatha, um, co-pilot

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or TFT or GB9 or another AI tool, um, answer view, um, in a general way, for example,

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in Tharawatha, there are, um, the weather in Tharawatha is warmer because we have 34 degrees

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or less and some wind is a general, uh, a general risk outcome.

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In that case, uh, for obtain or forget more efficient or better outcomes, you need to introduce

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different, uh, more information, for example, you need to, when just speak with AI, first

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of all, you need to be, you need to be clear, the goal, the main goal, you need to be clear

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the main goal because, um, the main goal, um, but this isn't the old information, you need

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to, you need to add, um, different parts.

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If you, if you, uh, if you have, if you have, uh, if you have clear, uh, if you have your

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main goal, um, it's not all, you need to add, for example, a role, but if you read, uh,

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Microsoft documentation, now, a Microsoft said, uh, that it's, is not necessary to get to

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the AI a role because with your main goal or the context or objectives, um, co-pilot in

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that case, uh, assumes the role, but in my case, I set, for example, to co-pilot, the, uh,

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a role. If I make an, uh, financial analysis, I get, do you be a financial analyst and need

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to be, blah, blah, blah. But, um, I, I know that, um, when just start to speak with AI, could

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be first, uh, could be frustrating, could be frustrating because, um, you don't have the,

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you don't have the tools for making, uh, for, for make, uh, the prompts well. You need to practice,

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you need to try. And, uh, finally, the, the most important thing is for me is that is, uh,

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we don't have a, uh, B-ball or a book for the best prompting techniques. You can try,

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you can make your own prompting techniques. And this is, I think that, um, about this question,

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I don't know if I said anything, I had something else. Yeah, that's, that's, that's interesting.

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Um, I think from, from this perspective, co-pilot do, do, do a lot, but we have these skills,

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tools, companies or organizations or departments, I said department said, let's say sales or marketing,

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show they do our visit, do that help when they have an expert and they do skills for them. I,

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I say, okay, we communicate with our clients and doesn't this, uh, language, you can do this, this, this

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material, yes, our source material. This is the farmer and so on. Show, show, we do it. Can

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us help or does it more brings more complicated into your process? With different areas,

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for example, um, when I, for example, when I teach to these people, to these people for, for

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making their own prompts or, um, it's a question. Uh, in that case, for example, I,

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um, I, I personalized my, when I, um, okay, I start, uh, when I participate in, uh, in an adoption

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plan with a company, for example, in a company, I, I make it, I make this, um, this other time,

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because I'm a consultant that I need to teach. Uh, in that case, I personalized, um, personalized,

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uh, examples. Mm-hmm. Isn't, uh, isn't the same when you speak, uh, like, for example, uh, data

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analyst, uh, data analyst in financial, uh, department or, for example, or, uh, uh, uh,

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a marketing assistant. The goals, the main goals are different. For example, for a marketing assistant,

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uh, will be more important, uh, is more important, the outcome for the outcome or the, uh,

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the outcomes, the, the pictures, the, the creative, the creative materials. And for, um, data analyst

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in financial sector is more, is more important. Yeah. Uh, it's more important. The, um,

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I don't have them for financial analyst is more important. The, uh, real situations,

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know the real situations. Sometimes, uh, and we, and it's known, uh, for all AI, uh, could be,

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have some hallucination, uh, some hallucinations. And for, uh, try to be, uh, try to, uh, I don't give you

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these hallucinations, do you be, uh, strict in your prompt? For example, I use, uh, sentence, uh,

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I use a sentence in all my prompts when I need to be more, uh, accurate with the outcomes.

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Uh, you don't, uh, if you don't know the information, don't, uh, don't lie, don't lie me,

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don't give me information if you don't, if you don't have the, um, the data. Um-hum. I don't, uh,

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in Spanish, I write different words, I have different sentence, but now I know, I, I,

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I'm not remember one of the words, I'd say it's the expression, but, uh, for different areas,

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you need to be, you need to have a personalization with prompts or with your techniques or, um,

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you can, you can, uh, explain the same to all areas because the main goal for different areas,

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the four, the areas is different or are different in that case.

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Okay. Um, what was it you think we have to do this, does one part, only we have the other

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part, say, uh, governance and so on, Pewview sensitivity labels. Um, how much should the, the user

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work on, on, on the quality of the data, co-pilot use and how many, it's, I say, uh, admins,

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IT departments, uh, yeah, um, governments of, of data that the users share with co-pilot.

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In that case, okay, in that case, and Microsoft co-pilot when we, when we, um,

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intelligent Microsoft co-pilot in, in our company, IT departments and AI offices, uh,

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needs to, to review their, um, their, uh, their, uh, their environment, their, uh, Microsoft

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environment. For example, when I start, um, an adoption project, I have a meeting with the, uh,

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with their, um, IT department and we review all of the, uh, configurations about Microsoft

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co-pilot. First of all, um, Microsoft co-pilot, um, don't, um, don't share the information that I

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upload to, to the chat with other people. In that case, um, we have in, when we use,

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Microsoft co-pilot with an enterprise account, we are protected, uh, with a Microsoft

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EDP enterprise data protection. Uh, and this enterprise data protection, um,

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give us the security and the information that I share with, uh, co-pilot, don't

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consider with another people in our company or in other companies or in Microsoft. And

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this information don't be used for, uh, training for training or for, for the training, um,

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in AI models. If, for ex-prolifies share, the financial, financial, information, by, by, by, um,

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my financial information, for example, with a Microsoft co-pilot, uh, chat. In that case,

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Microsoft co-pilot, the, uh, Microsoft don't share this information with anyone, with anyone,

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and this information don't be used for training, uh, for the training, uh, for training the models.

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Mm-hmm. For example, this is different in chatchipity or Gemini. If you, uh, if you have the

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need to share this type of information in Gemini or ZDPD, I recommend to, uh, turn off one of

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computer relations in that tool, because if you don't know when you share some information about

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you, some, some personal information about you or about your companies, Ed's a tipit or Gemini,

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could be shared this information with other, uh, organizations, not directly, but,

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uh, these tools can use our information for training, their models. And in, uh,

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in direct way, we can share our information with other people and could be, uh, uh,

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safety, uh, safety issue, uh, safety problem. And for example, when I talk about companies, uh,

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when I start to talk about companies, we introduce AI in their work lives,

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I told, I told, uh, all of them, you don't worry, you don't worry, um, you don't worry,

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Microsoft Copilot is a secure tool because Microsoft Copilot is inside of Microsoft 365 ecosystem

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and all of the Microsoft products if you use an enterprise, uh, in that case, because I,

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I talked with companies, uh, when you use your enterprise account, you're reprotected. All of you,

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all of your information is protected, are protected in that case.

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Awesome. Um, well, what, what, what did you think from your perspective? You have done a lot of,

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implementation projects. So, and I say, it's, it's not so hard to buy Copilot license and, uh,

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what should an enrollment look like? 30, 60 and 90 days from your perspective?

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I don't understand you. Uh, that question. Yeah, I think, um,

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it's not a hard part to buy a copilot license and the, the implementation is, it's the hard part.

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So what, it's a good road map for the first 30, 60 and 90 days from your perspective to implement,

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uh, we can implement for implement, uh, Microsoft 365 license. Uh, first of all, when we think about

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implementing Microsoft 365, uh, copilot in our organization, we need to check all of the, uh,

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settings in our Microsoft 365 environmental, we need to check, uh, they use, uh, they will be used,

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you need to check, uh, already you, um, they wait to get a license because if you, uh,

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the Microsoft Microsoft 365 license, uh, if, uh, no way days, no way days, no, uh, no way days,

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Microsoft, uh, I start the game, um, my tongue was stressed, um, Microsoft 365 license have

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accost around, uh, last, uh, last time that that I've seen, it's 20, 20, 28 euros, more or less,

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at 30, 30 dollars, 30 dollars, 28 euros. And if, in that case, uh, this make necessary to have a road map

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to implement license, the, the license mode, for example, first of all, we need to think about,

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uh, in our company, we need, uh, we need to think about, we need Microsoft 365 license,

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or it's, um, with, uh, basic license, uh, I have all that I need, I need it.

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Because, uh, because, uh, because I said that, uh, if you have a Microsoft 365 license,

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and enterprise license and business license, our team's license, you have access to, you could be

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have, uh, you could, uh, you, you have access to Microsoft 365, set in a basic way. The basic way

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is a free way. You can use the Microsoft 365, uh, you can use the AI tool from Microsoft, you can use

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it in a safety way, you can share, document them. Most important thinking that case,

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is you need to use your enterprise account. You need to, you need to make logging with your

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enterprise account. And, uh, if you have, think about that, think about, I need Microsoft 365 license,

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or with the license that I have is, um, I, is enough. I don't, I don't remember the word enough.

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Um, you need, you need, first of all, you need to think about that. I need Microsoft 365 license,

364
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or we have my license, Microsoft license is enough. And my recommendation is try the Microsoft 365

365
00:43:15,700 --> 00:43:26,580
Copilot chat, the free version, the free version. And if you need, uh, to use a Microsoft 365 with, uh,

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your emails, your meetings, your documents, you need to, uh, you need to make, uh, you need to make

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documents from the scratch, you need to think about, uh, the Microsoft 365 license will be necessary.

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First of all, we have, uh, if you have a Microsoft 365 license, you have, um,

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a very useful AI tool without need to pay more, you know, you don't need to pay more for,

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for use in, in that case, Microsoft 365 Copilot in that case, uh, you can use it without,

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without limits. You can, you, you can use it without limits. This is the first, the first step in my

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recommend roadmap. First of all, think about, we need license or don't need license, uh, the Microsoft

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license is enough. And the second step for me is checked as some, it's taking some settings in

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Microsoft environmental. One of them is the, uh, we need to review, for example, in, in, in Europe,

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we need to review the use of, uh, anthropic models, because now anthropic models, all of their use

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is a, in servers on the USA, and we have the GRPD, uh, a, a, a, a, a, GPD, no, g, RPD, in

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Spanish is different because we change, we change all the words. And, uh, we have the GRPD,

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and we need to review the terms of, uh, terms of, uh, the terms of use, the conditions of use.

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And, uh, if, if someone, uh, hear that, it's pro that, uh, he or she think, why, I've been

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said that because, uh, now, um, anthropic models, uh, if you use, and you can use anthropic models,

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or in Microsoft compiler to have the possibility to use anthropic models, um,

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um, inside of them, Microsoft 365 product, it's, uh, a model similar, um, than, for

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example, that, uh, GPD 5.6, but in that case, uh, companies, we need to, uh, we need to know that,

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if you, uh, turn on these models, your information, uh, don't move to the USA, for example,

385
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don't move to the USA, but, uh, Microsoft needs to move the, the rationing to USA servers. And,

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for example, for, for European companies, could be, uh, important because, uh, if you have a

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high sens, uh, sensibility to, uh, GPD, you can use it because, uh, one of, one part of my information

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goes to the USA for getting, um, the outcome and comes again to, to Europe. But I think that,

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I think that, uh, that question could be changed in a few more, uh, in, uh, uh, next month, I think that,

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I don't know. But this is another, uh, for me, this is, uh, in Europe, this is one of the most

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important, uh, settings that I need to review. We have different, uh, another settings you can,

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uh, turn on, turn, turn on or off the, uh, web generation, video generation, uh, you can use web

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information for getting, um, outcomes. But I think that is the, for me, this is the most, um,

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the most important steps. In the future, Microsoft are changing the, uh, the, the, the, the,

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the settings continuously. For example, um, one month ago, uh, Microsoft activated a different, uh,

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activated or so, uh, a different settings about, um, the new TPP models, for example. I don't,

397
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I don't remember the, the, the, the specific, the specific name of the Serian, but, um, now you can

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choose that if you, um, get the new models or the new models of TPP, for example, uh, now or in a

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few weeks or for some people or nothing in the company can use this type, uh, this models, it,

400
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it's, it's tricky, uh, and in that case, um, any different company, half and one, uh, any company

401
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have their own, uh, criteria, so they own, uh, nilics.

402
00:49:25,060 --> 00:49:33,220
Awesome. Um, what, what, what, what, what, what, yeah, I also think about, but what, what, what,

403
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what, what, what would you say to productivity, um, and I said, it's a illusion of, of

404
00:49:39,540 --> 00:49:45,940
productivity. How do we know if co-partners are actually making someone more productors?

405
00:49:47,140 --> 00:49:58,660
Woof, uh, this is, um, a very difficult question because for me, um, because I, I don't like to speak

406
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about productivity, because productivity is, uh, subjective, sometimes it's not subjective, uh,

407
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is subjective because for, for example, for me, uh, for me, be more productive,

408
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uh, means, for example, make, uh, PowerPoint, uh, in a quicker way, more, more faster than I,

409
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than I make by myself. Uh, for example, in, uh, it's difficult because, uh, different areas or,

410
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in, inside of the area's different roles, make different, uh, tasks, have different, uh,

411
00:50:44,740 --> 00:50:52,500
have different tasks, uh, tasks. And that is, where to know, uh, now, for example,

412
00:50:52,500 --> 00:50:58,980
when I speak with companies, uh, some companies, uh, told you, we need to be more productive.

413
00:50:58,980 --> 00:51:06,900
Okay. But who is productive for you? First of all, who is the, who is productive for you?

414
00:51:06,900 --> 00:51:14,020
For me, could be one thing for you, could be another thing. In that case, I changed the word,

415
00:51:14,020 --> 00:51:23,060
now I'm changing the word productivity for, uh, naturalizing the use of AI. We need to, we need to know

416
00:51:23,060 --> 00:51:36,900
that, uh, we need to know how, uh, we use AI in our daily tasks. For example, for making, uh, data

417
00:51:36,900 --> 00:51:42,420
analysis, you can use, for now you can use copilot chat and 365 copilot,

418
00:51:42,980 --> 00:51:51,380
eco piloting excel, you can use, uh, AI tools in different ways. And who is, but in that case,

419
00:51:51,380 --> 00:52:00,260
I need, I try to change the word productivity to naturalize. We need, now, we need to naturalize the use of AI.

420
00:52:00,260 --> 00:52:11,620
Um, I see, recently, I, um, I saw that some companies, uh,

421
00:52:11,620 --> 00:52:25,700
um, have, uh, an expectation with, with AI and things and first of all, things that AI, uh, can,

422
00:52:25,700 --> 00:52:35,620
can get in the, uh, uh, the fire, can fire them. And in that case, we, we need to, uh, we need to have a

423
00:52:35,620 --> 00:52:45,620
different, uh, a different message. Uh, we don't speak about productivity because who is productivity

424
00:52:45,620 --> 00:52:52,900
for you? For me, it's one thing for you, Mirko could be different productivity on, for example,

425
00:52:52,900 --> 00:53:00,020
another colleague, uh, some, um, for another person could be different. In that case, we need to be,

426
00:53:01,060 --> 00:53:09,060
change the word productivity for normalize the use of AI. We need to be more efficient. In that case,

427
00:53:09,060 --> 00:53:17,860
we can use efficiency, uh, efficiency word because if I'm, if I'm more, more efficient, uh, efficient,

428
00:53:17,860 --> 00:53:29,700
uh, this, this word means, uh, I have the tools to make the same, for example, in less time or in a

429
00:53:29,700 --> 00:53:42,500
higher quality. And in that case, the, uh, we, we get off the negative, negative meaning of

430
00:53:42,500 --> 00:53:49,300
productivity because when you speak with some, uh, with someone about productivity, first of all,

431
00:53:49,300 --> 00:53:58,260
in their brain, it's probably, it's possible that this, uh, this person think, uh, Adrian asked me

432
00:53:58,260 --> 00:54:08,820
about productivity because they is thinking about fire me, fire me, fire, fire, fire, fire, fire.

433
00:54:08,820 --> 00:54:19,860
If you talk about efficiency, efficiency, it's, I think that efficiency is, uh, one of the, uh,

434
00:54:19,860 --> 00:54:26,020
one, uh, efficiency is one of the, for me, it's one of the most important skills.

435
00:54:26,660 --> 00:54:36,100
It's, it isn't a skill, but I don't, um, find the good word for, for, explain that, um, I think that

436
00:54:36,100 --> 00:54:48,740
if, if we, more, or if, if we improve our efficiency for our companies, um, for example, the,

437
00:54:48,740 --> 00:54:56,580
invest, the investment in Microsoft 365 for pilot, have a big, uh, a big, uh,

438
00:54:56,980 --> 00:55:05,140
refound, no, uh, return, return of investment. We can have a higher return, a

439
00:55:05,140 --> 00:55:16,740
row, return of investment. Efficiency is, um, I know the word, I don't know who, um, efficiency is more,

440
00:55:16,740 --> 00:55:26,260
it's for me, a better word, down, productive, it's more, it's more human.

441
00:55:26,260 --> 00:55:33,540
It's more human, um, productive. Productivity is subjective. It's a subjective, um, a skill is a

442
00:55:33,540 --> 00:55:42,500
subjective, objective, objective, skill, um, is also a subjective. And, um, yeah, I know it's more human.

443
00:55:42,500 --> 00:55:48,100
Good to have companies have a human resource or a people, uh, department. Yeah.

444
00:55:49,940 --> 00:55:58,900
Yeah, I know it. Um, so, um, yeah, I have on every, um, every, part of the rapid fire route,

445
00:55:58,900 --> 00:56:05,380
but I do it to this time a little bit different. Uh, I ask you some questions and you have three

446
00:56:05,380 --> 00:56:12,980
possible answers. Uh, so the first one is hype. The other is useful today or future potential,

447
00:56:12,980 --> 00:56:22,900
as an answer. So, uh, co-pilot will animate most meetings. Most meetings. Yeah. Can it eliminate the

448
00:56:22,900 --> 00:56:31,860
most meetings? Ah, can element a, can you repeat the three options? Well, co-pilot eliminate most

449
00:56:31,860 --> 00:56:41,700
meetings and is it a hype useful today or a future potential? I think that it's now, it's a hype

450
00:56:41,700 --> 00:56:58,820
because I'm, uh, I'm being, um, uneducated. I have, um, a lot of, uh, meetings that can be,

451
00:56:58,820 --> 00:57:07,060
uh, could be, uh, could be, uh, email for email, for example. Yeah. Now it's a hype for me.

452
00:57:07,700 --> 00:57:16,820
Now it's a hype. Microsoft, co-pilot, don't reduce now the, uh, no, meetings. I can't,

453
00:57:16,820 --> 00:57:22,820
can't reduce it. And, uh, what did you think agents will replace traditional business applications?

454
00:57:22,820 --> 00:57:29,700
Agent could be the same. Yeah. Yeah. Uh, co-pilot agents will they replace the traditional

455
00:57:29,700 --> 00:57:38,420
business applications? Well, uh, it's a tricky, is it a tricky question. Uh, I think that, no,

456
00:57:38,420 --> 00:57:51,540
definitely no, because agents are, our agents are agents are some new, I'm so new because

457
00:57:51,540 --> 00:58:00,180
they are some new and a B, uh, and in that case, we win, for example, in Microsoft, we need to,

458
00:58:00,180 --> 00:58:10,420
be, uh, we need to have a more, uh, security tools for agents now. Recently, we have agent

459
00:58:10,420 --> 00:58:19,940
365, uh, 365, but a company, uh, some companies or the most part of companies demand, most security

460
00:58:19,940 --> 00:58:33,380
tools for get, uh, for get control, the, the, the AI agents. I, and I, I, and I said to you, for

461
00:58:33,380 --> 00:58:41,620
example, I have, I'm now for, for me, my, for myself in my profile, in my enterprise profile,

462
00:58:41,620 --> 00:58:52,660
uh, I have more or less 2000, not 2000, not so much 200 agents. I have, I have now 200 agents in my

463
00:58:52,660 --> 00:59:02,260
enterprise profile. And I know that age, a, AI agents could be replaced, couldn't be replaced now,

464
00:59:02,260 --> 00:59:09,300
business applications, business applications are necessary. We need, uh, now we need power

465
00:59:09,300 --> 00:59:16,740
platform for all of our platform, power BI, power apps, but in that case, AI agents,

466
00:59:16,740 --> 00:59:30,260
uh, could be, um, could be help us with, um, tasks in that, in that type of tools, in that type of

467
00:59:30,260 --> 00:59:39,140
tools or in that programs. But, uh, now, definitely, uh, AI agents couldn't, couldn't be replaced,

468
00:59:39,460 --> 00:59:45,060
business apps, business applications for me. Another, another colleague of, uh, another colleagues

469
00:59:45,060 --> 00:59:57,780
could be, uh, could be think, could be think different about me. Um, yeah, uh, then, um, did you think,

470
00:59:57,780 --> 01:00:06,580
uh, co-pilot become, or is co-pilot also useful for front, uh, for front, uh, for front like workers?

471
01:00:06,580 --> 01:00:17,940
It's all that we're just, uh, I, I, I think that depends of the tasks that this type of worker,

472
01:00:17,940 --> 01:00:28,100
um, has. For example, this works, see, if I, if I worker have so much emails, for example,

473
01:00:28,100 --> 01:00:36,980
co-pilot could be useful. But, for, uh, thinking, uh, thinking about licensed, uh, Microsoft, uh,

474
01:00:36,980 --> 01:00:49,300
Microsoft license, from the front line license, have, um, have different settings than, for example,

475
01:00:49,300 --> 01:01:04,260
uniterpised license, uh, data, they don't have, uh, so much, um, uh, uh, mailbox, um, I, I don't

476
01:01:04,260 --> 01:01:12,500
remember the word. Uh, I hate my brain in, in that, in that moment, in, in this moment. Um,

477
01:01:12,500 --> 01:01:18,020
okay, the question is, the, the useful of Microsoft, uh, Microsoft co-pilot,

478
01:01:18,020 --> 01:01:28,740
in front like workers. I think that in, in that moment, um, co-pilot could be useful, depends on the

479
01:01:28,740 --> 01:01:39,140
tasks that this worker has. If that, if, if this worker has so much emails, or sorry, yeah, so,

480
01:01:39,140 --> 01:01:47,380
uh, a lot of emails, um, could be useful because co-pilot can, uh, summarize, summarize them,

481
01:01:47,380 --> 01:01:56,100
and get, uh, the principal tasks, or the principal, or the highlights for this, uh, for these emails.

482
01:01:56,100 --> 01:02:08,740
But, uh, I, um, honestly, honestly, uh, now co-pilot isn't useful for this type of, uh, of workers.

483
01:02:09,940 --> 01:02:18,980
Because they don't have so much work in Microsoft tools. We, uh, they have some, some, some workers,

484
01:02:18,980 --> 01:02:27,700
uh, have this type of license for getting, getting connected in Microsoft Teams or email, but they

485
01:02:27,700 --> 01:02:38,020
can use it. Yeah, cool. So, yeah, then I'd say, thank you for, for, for the overview. And, uh, what I do,

486
01:02:38,020 --> 01:02:45,620
it's, uh, when I have to speak another language, uh, um, or another dialect, uh, I bought the beer from,

487
01:02:45,620 --> 01:02:54,340
from, from, from this country, like, like, Ireland, I, uh, by, uh, Guinness or two more, uh, or, uh, when

488
01:02:54,340 --> 01:03:02,180
I have, like, Spaniel, I, I buy a strilla dame, uh, it's so on. So, uh, sounds, the beer, the beer

489
01:03:02,180 --> 01:03:08,020
is three and it's the yellow, the beer. Yeah, and it's making also the brain a little bit more thinking

490
01:03:08,020 --> 01:03:15,620
slower. Yeah, but, but, yeah, thank you for, for, for being here. This was an awesome session. And I say,

491
01:03:15,620 --> 01:03:23,220
thank you so much for, for sharing all your knowledge and, uh, also for, uh, for, uh, yeah, for coming,

492
01:03:23,220 --> 01:03:30,660
there also, you are not a natural speaker. I'm also not so, you're also, you bill, more, uh, but I think

493
01:03:30,660 --> 01:03:38,100
it makes it also more, uh, sympathetic and I think that, that's, uh, we have talked about the, the

494
01:03:38,100 --> 01:03:45,460
humanizing and I think, uh, that's also, uh, top, uh, my, all the technology we don't have to,

495
01:03:45,460 --> 01:03:52,900
to forget the human, uh, behind the, the AI hype. And, uh, so, yeah, uh, thank you so much for

496
01:03:52,900 --> 01:03:57,460
paying you, will need. Thank you. Thank you, thank you, Mirko. I said, I said to you out at first,

497
01:03:57,460 --> 01:04:04,260
it's my first time, just speaking English without, uh, without English professor. I speak English with my

498
01:04:04,260 --> 01:04:11,940
tutors, my English tutors, but it's the first time, uh, that I make this type of, uh, have this type of

499
01:04:11,940 --> 01:04:18,500
conversations, uh, conversation in English. Uh, thank you for having me today. I really enjoyed

500
01:04:18,500 --> 01:04:31,060
with this, um, with this meeting and I hope that you, uh, that you, uh, that you found this

501
01:04:31,060 --> 01:04:38,020
information useful. Yeah. And it's a pleasure for me. Yeah. Thank you. And, uh, yeah, not,

502
01:04:38,020 --> 01:04:41,540
nice to be in yet. So I say goodbye for this. Goodbye.

503
01:04:41,540 --> 01:04:51,540
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