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Join this live session with Magnus Mårtensson ft. Dona Sarkar for the next episode of The Cloud Show with Magnus Mårtensson on January 31, at 01:05 PM (EST).
The show is about cloud leadership and all the important questions relating to cloud projects. Certainly, many matters when a company is going to and wants to be successful in the cloud, are about technology. However, there are many additional matters, adjacent to technology, that we also need to tend to regarding business strategy, human resources, organizational change, planning for a technical cloud approach, and many more questions. These conversations are critical for a healthy cloud and for a swift and accurate cloud approach.
GUEST SPEAKER
Dona believes in the transformative power of experimentation—one experiment away from unlocking your fullest potential at work and in life. As the Chief Troublemaker for the Copilot and AI Extensibility Program at Microsoft, she leads 100 experiments aimed at making AI practical and empowering users to work with their own data.
Beyond her role, Dona is a sought-after speaker, business coach specializing in sustainable side hustles, and a multi-published author. She also owns Prima Dona Studios, an ethical luxury fashion brand, and co-owns #SideHustleTaps, a wine bar.
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hello everyone and welcome to another
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hello everyone and welcome to another
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hello everyone and welcome to another episode of the cloud show as you can
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episode of the cloud show as you can
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episode of the cloud show as you can clearly tell I am not at home I'm right
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clearly tell I am not at home I'm right
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clearly tell I am not at home I'm right now in Stockholm at the espc conference
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now in Stockholm at the espc conference
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now in Stockholm at the espc conference right up there in Stockholm it's an
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right up there in Stockholm it's an
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right up there in Stockholm it's an amazing event it's huge and there's so
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amazing event it's huge and there's so
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amazing event it's huge and there's so many people all around us one awesome
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many people all around us one awesome
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many people all around us one awesome thing about going to conferences is that
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thing about going to conferences is that
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thing about going to conferences is that you meet up with all the great speakers
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you meet up with all the great speakers
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you meet up with all the great speakers and so for this episode of the cloud
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and so for this episode of the cloud
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and so for this episode of the cloud show we're going to talk to Donna sarar
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hello Donna hi Magnus how are you I am
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hello Donna hi Magnus how are you I am
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hello Donna hi Magnus how are you I am excellent um oh my God it's so nice to
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excellent um oh my God it's so nice to
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excellent um oh my God it's so nice to meet up with you I know it's so good to
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meet up with you I know it's so good to
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meet up with you I know it's so good to be here we're we're in a fishbowl
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be here we're we're in a fishbowl
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be here we're we're in a fishbowl surrounded by 3,000 of our closest
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surrounded by 3,000 of our closest
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surrounded by 3,000 of our closest friends absolutely and we're having a
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friends absolutely and we're having a
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friends absolutely and we're having a lot of fun here at the espc we are we
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lot of fun here at the espc we are we
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lot of fun here at the espc we are we are so this feels like big espc know
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are so this feels like big espc know
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are so this feels like big espc know there's a lot of really is great and
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there's a lot of really is great and
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there's a lot of really is great and then in my home country and in my
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then in my home country and in my
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then in my home country and in my Capital Stockholm amazing so I mean
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Capital Stockholm amazing so I mean
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Capital Stockholm amazing so I mean everybody knows who you are Donna but
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everybody knows who you are Donna but
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everybody knows who you are Donna but tell yes so tell the audience who are
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tell yes so tell the audience who are
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tell yes so tell the audience who are you what do you do okay everyone hello
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you what do you do okay everyone hello
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you what do you do okay everyone hello I'm Donna sarar I work at Microsoft I am
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I'm Donna sarar I work at Microsoft I am
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I'm Donna sarar I work at Microsoft I am a cloud Advocate but what I do actually
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a cloud Advocate but what I do actually
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a cloud Advocate but what I do actually actually is I go around the world and
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actually is I go around the world and
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actually is I go around the world and meet with customers like you like your
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meet with customers like you like your
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meet with customers like you like your companies and help them figure out if AI
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companies and help them figure out if AI
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companies and help them figure out if AI is right for you and if so how do you
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is right for you and if so how do you
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is right for you and if so how do you actually use your data to AI over in a
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actually use your data to AI over in a
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actually use your data to AI over in a way that is governed responsible and
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way that is governed responsible and
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way that is governed responsible and useful that's right so I focus very
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useful that's right so I focus very
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useful that's right so I focus very heavily on AI co-pilots and now agents
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heavily on AI co-pilots and now agents
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heavily on AI co-pilots and now agents all right so we're going to talk about
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all right so we're going to talk about
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all right so we're going to talk about that definitely but I do love how your
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that definitely but I do love how your
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that definitely but I do love how your profile in like LinkedIn and various
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profile in like LinkedIn and various
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profile in like LinkedIn and various places say that you're the chief
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places say that you're the chief
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places say that you're the chief Troublemaker Chief Troublemaker of
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Troublemaker Chief Troublemaker of
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Troublemaker Chief Troublemaker of Microsoft absolutely no one else makes
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Microsoft absolutely no one else makes
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Microsoft absolutely no one else makes trouble better than you do I think maybe
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trouble better than you do I think maybe
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trouble better than you do I think maybe they do but they don't go and confess it
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they do but they don't go and confess it
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they do but they don't go and confess it to the world openly right they don't go
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to the world openly right they don't go
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to the world openly right they don't go confess true so you're open about it I'm
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confess true so you're open about it I'm
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confess true so you're open about it I'm very open about causing trouble
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very open about causing trouble
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very open about causing trouble fantastic yeah I will cause trouble on
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fantastic yeah I will cause trouble on
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fantastic yeah I will cause trouble on behalf of customers all day long right
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behalf of customers all day long right
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behalf of customers all day long right exactly so right now Microsoft is
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exactly so right now Microsoft is
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exactly so right now Microsoft is talking about few other things than Ai
2:03
talking about few other things than Ai
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talking about few other things than Ai and co-pilots that's that's the message
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and co-pilots that's that's the message
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and co-pilots that's that's the message right now co-pilots yes so co-pilots and
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right now co-pilots yes so co-pilots and
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right now co-pilots yes so co-pilots and agents let's let's walk through that
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agents let's let's walk through that
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agents let's let's walk through that briefly what is co-pilots about why do I
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briefly what is co-pilots about why do I
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briefly what is co-pilots about why do I want a CO I have a I have a company why
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want a CO I have a I have a company why
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want a CO I have a I have a company why do I want a co-pilot okay so first let's
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do I want a co-pilot okay so first let's
2:18
do I want a co-pilot okay so first let's do a little demystification activity
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do a little demystification activity
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do a little demystification activity there's Ai and then there's co-pilots
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there's Ai and then there's co-pilots
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there's Ai and then there's co-pilots co-pilots do not equal AI necessarily
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co-pilots do not equal AI necessarily
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co-pilots do not equal AI necessarily okay okay fair enough so when we talk
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okay okay fair enough so when we talk
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okay okay fair enough so when we talk about AI what we are talking about now
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about AI what we are talking about now
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about AI what we are talking about now is a thing called generative AI the
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is a thing called generative AI the
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is a thing called generative AI the concept of predictive AI as we know has
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concept of predictive AI as we know has
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concept of predictive AI as we know has been around a long long time it's been
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been around a long long time it's been
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been around a long long time it's been around 20 years right that's not new so
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around 20 years right that's not new so
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around 20 years right that's not new so predictive AI as it's been around is
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predictive AI as it's been around is
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predictive AI as it's been around is things like computer vision is this a
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things like computer vision is this a
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things like computer vision is this a dog is this a cat it's translation
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dog is this a cat it's translation
2:44
dog is this a cat it's translation translating from English to Swedish
2:45
translating from English to Swedish
2:45
translating from English to Swedish Swedish right right so predictive AI has
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Swedish right right so predictive AI has
2:48
Swedish right right so predictive AI has been around in Azure in the world for I
2:50
been around in Azure in the world for I
2:51
been around in Azure in the world for I don't know 20 years at this point Yep
2:53
don't know 20 years at this point Yep
2:53
don't know 20 years at this point Yep this New Concept called generative AI
2:55
this New Concept called generative AI
2:55
this New Concept called generative AI started kicked off by Chachi P caused
2:57
started kicked off by Chachi P caused
2:57
started kicked off by Chachi P caused chaos like two years ago happy two-year
2:59
chaos like two years ago happy two-year
2:59
chaos like two years ago happy two-year anniversary right but what generative AI
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anniversary right but what generative AI
3:03
anniversary right but what generative AI is good for in general is generating
3:06
is good for in general is generating
3:06
is good for in general is generating people love to use generative AI to
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people love to use generative AI to
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people love to use generative AI to retrieve things and I say why use it to
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retrieve things and I say why use it to
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retrieve things and I say why use it to generate new things IDE search engine to
3:13
generate new things IDE search engine to
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generate new things IDE search engine to retrieve things exactly use a search
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retrieve things exactly use a search
3:15
retrieve things exactly use a search index with the semantic search
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index with the semantic search
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index with the semantic search functionality of some sort rather than
3:18
functionality of some sort rather than
3:18
functionality of some sort rather than the keyword search to do good search but
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the keyword search to do good search but
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the keyword search to do good search but generative AI generates new ideas New
3:22
generative AI generates new ideas New
3:22
generative AI generates new ideas New Concepts new diagrams new code Etc from
3:25
Concepts new diagrams new code Etc from
3:25
Concepts new diagrams new code Etc from a trained data set yeah so that's when
3:27
a trained data set yeah so that's when
3:27
a trained data set yeah so that's when you want to say I want a picture of you
3:30
you want to say I want a picture of you
3:30
you want to say I want a picture of you know something something just describe
3:32
know something something just describe
3:32
know something something just describe it as a prompt right as a prompt so and
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it as a prompt right as a prompt so and
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it as a prompt right as a prompt so and then it creates this it creates a new
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then it creates this it creates a new
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then it creates this it creates a new thing so predictive AI is dog cat dog
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thing so predictive AI is dog cat dog
3:38
thing so predictive AI is dog cat dog cat is this a dog or a cat it's a cat
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cat is this a dog or a cat it's a cat
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cat is this a dog or a cat it's a cat generative AI would be dog cat dog cat
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generative AI would be dog cat dog cat
3:43
generative AI would be dog cat dog cat make a new cat and it would make you a
3:44
make a new cat and it would make you a
3:44
make a new cat and it would make you a new kind of cat right so that's
3:46
new kind of cat right so that's
3:46
new kind of cat right so that's generative AI cool cool cool now that is
3:49
generative AI cool cool cool now that is
3:49
generative AI cool cool cool now that is AI what is a co-pilot co-pilot is a
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AI what is a co-pilot co-pilot is a
3:51
AI what is a co-pilot co-pilot is a Microsoft product it calls a generative
3:54
Microsoft product it calls a generative
3:54
Microsoft product it calls a generative AI API but co-pilot itself is not
3:57
AI API but co-pilot itself is not
3:58
AI API but co-pilot itself is not generative AI there's actually a big
4:00
generative AI there's actually a big
4:00
generative AI there's actually a big system of governance graph perview
4:03
system of governance graph perview
4:03
system of governance graph perview connectors all of these Microsoft
4:05
connectors all of these Microsoft
4:05
connectors all of these Microsoft products that protect your data before
4:08
products that protect your data before
4:08
products that protect your data before it goes to an llm after it comes back to
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it goes to an llm after it comes back to
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it goes to an llm after it comes back to an llm so co-pilot is the Enterprise
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an llm so co-pilot is the Enterprise
4:13
an llm so co-pilot is the Enterprise guard rails around an llm call makes
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guard rails around an llm call makes
4:16
guard rails around an llm call makes sense so at the bottom of it all I have
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sense so at the bottom of it all I have
4:18
sense so at the bottom of it all I have my data my business data my my important
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my data my business data my my important
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my data my business data my my important secret data that's right but now I can
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secret data that's right but now I can
4:23
secret data that's right but now I can extract smart things new things generate
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extract smart things new things generate
4:26
extract smart things new things generate new things from that data just by asking
4:28
new things from that data just by asking
4:28
new things from that data just by asking it just by asking it it just by using a
4:30
it just by asking it it just by using a
4:30
it just by asking it it just by using a co-pilot and this is why co-pilot is
4:33
co-pilot and this is why co-pilot is
4:33
co-pilot and this is why co-pilot is important because anyone who wants to
4:34
important because anyone who wants to
4:35
important because anyone who wants to use generate AI in their business should
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use generate AI in their business should
4:37
use generate AI in their business should not be doing it on the free internet
4:39
not be doing it on the free internet
4:39
not be doing it on the free internet right everyone says don't put your
4:41
right everyone says don't put your
4:41
right everyone says don't put your company data on the internet don't do
4:42
company data on the internet don't do
4:42
company data on the internet don't do that right you can't do that no you
4:44
that right you can't do that no you
4:44
that right you can't do that no you can't do that it's the same as intrnet
4:46
can't do that it's the same as intrnet
4:46
can't do that it's the same as intrnet and intranet right right co-pilot is
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and intranet right right co-pilot is
4:48
and intranet right right co-pilot is your intranet it keeps your data within
4:50
your intranet it keeps your data within
4:50
your intranet it keeps your data within your company no one else sees it
4:52
your company no one else sees it
4:52
your company no one else sees it Microsoft don't see it we don't even
4:53
Microsoft don't see it we don't even
4:53
Microsoft don't see it we don't even want to see our own data we definitely
4:54
want to see our own data we definitely
4:54
want to see our own data we definitely want to see yours you don't even know
4:56
want to see yours you don't even know
4:56
want to see yours you don't even know where your data is yeah we don't know
4:57
where your data is yeah we don't know
4:57
where your data is yeah we don't know where our data is um so copil is the
5:00
where our data is um so copil is the
5:00
where our data is um so copil is the answer to using generative AI in your
5:02
answer to using generative AI in your
5:02
answer to using generative AI in your business got it got it but now Magnus as
5:05
business got it got it but now Magnus as
5:05
business got it got it but now Magnus as you know we have a new thing in town
5:07
you know we have a new thing in town
5:07
you know we have a new thing in town engines agents agents see I knew that
5:10
engines agents agents see I knew that
5:10
engines agents agents see I knew that okay so agents are a new thing because
5:13
okay so agents are a new thing because
5:13
okay so agents are a new thing because what we're taking is co-pilot which is
5:15
what we're taking is co-pilot which is
5:15
what we're taking is co-pilot which is really think of it like a personal
5:17
really think of it like a personal
5:17
really think of it like a personal productivity thing right sure so you're
5:19
productivity thing right sure so you're
5:19
productivity thing right sure so you're going to have we all are used to phones
5:21
going to have we all are used to phones
5:21
going to have we all are used to phones and apps right so co-pilot is like your
5:23
and apps right so co-pilot is like your
5:23
and apps right so co-pilot is like your phone you're going to have one to two of
5:25
phone you're going to have one to two of
5:25
phone you're going to have one to two of those right a co-pilot's going to know a
5:27
those right a co-pilot's going to know a
5:27
those right a co-pilot's going to know a lot of about you it's going to have your
5:30
lot of about you it's going to have your
5:30
lot of about you it's going to have your own personal data your own very specific
5:32
own personal data your own very specific
5:32
own personal data your own very specific business data agents are things that run
5:35
business data agents are things that run
5:35
business data agents are things that run on co-pilots so agents are like the apps
5:38
on co-pilots so agents are like the apps
5:38
on co-pilots so agents are like the apps that run on your phone now you're gonna
5:39
that run on your phone now you're gonna
5:40
that run on your phone now you're gonna have hi hello hello hello fans wow this
5:44
have hi hello hello hello fans wow this
5:45
have hi hello hello hello fans wow this is amazing um this is going great so
5:48
is amazing um this is going great so
5:48
is amazing um this is going great so agents are going to be for specific
5:50
agents are going to be for specific
5:50
agents are going to be for specific tasks so for example we talked about at
5:53
tasks so for example we talked about at
5:53
tasks so for example we talked about at the keynote today there's a project
5:55
the keynote today there's a project
5:55
the keynote today there's a project manager agent that helps you Wrangle
5:56
manager agent that helps you Wrangle
5:56
manager agent that helps you Wrangle your project there are the teams
5:58
your project there are the teams
5:58
your project there are the teams facilitator agent that says Magnus you
6:01
facilitator agent that says Magnus you
6:01
facilitator agent that says Magnus you two need to stop yapping in this meeting
6:03
two need to stop yapping in this meeting
6:03
two need to stop yapping in this meeting and focus on the agenda oh really right
6:05
and focus on the agenda oh really right
6:05
and focus on the agenda oh really right it brings you back right and need that
6:07
it brings you back right and need that
6:07
it brings you back right and need that we need that I need two of those one for
6:09
we need that I need two of those one for
6:09
we need that I need two of those one for you and one for exactly stop pay
6:11
you and one for exactly stop pay
6:11
you and one for exactly stop pay attention stop pay attention and then
6:12
attention stop pay attention and then
6:12
attention stop pay attention and then the translator agent which translates in
6:14
the translator agent which translates in
6:14
the translator agent which translates in real time which is so cool which is so
6:17
real time which is so cool which is so
6:17
real time which is so cool which is so cool oh my God like I've seen videos of
6:20
cool oh my God like I've seen videos of
6:20
cool oh my God like I've seen videos of this like a person that I know who
6:22
this like a person that I know who
6:22
this like a person that I know who doesn't speak Hindi and in this like
6:24
doesn't speak Hindi and in this like
6:24
doesn't speak Hindi and in this like video he's just posting he's like
6:26
video he's just posting he's like
6:26
video he's just posting he's like speaking perfect Hindi and it's so scary
6:29
speaking perfect Hindi and it's so scary
6:29
speaking perfect Hindi and it's so scary own voice yeah yeah in your own voice
6:31
own voice yeah yeah in your own voice
6:31
own voice yeah yeah in your own voice that's so scary wild it's wild like it's
6:34
that's so scary wild it's wild like it's
6:34
that's so scary wild it's wild like it's scary cool right so those are agents and
6:37
scary cool right so those are agents and
6:37
scary cool right so those are agents and one of the things I say is agents make
6:40
one of the things I say is agents make
6:40
one of the things I say is agents make co-pilot take action uh right co-pilots
6:42
co-pilot take action uh right co-pilots
6:43
co-pilot take action uh right co-pilots are used to giving you responses giving
6:45
are used to giving you responses giving
6:45
are used to giving you responses giving you things but with agents you can
6:47
you things but with agents you can
6:47
you things but with agents you can actually assign an action of some sort
6:49
actually assign an action of some sort
6:49
actually assign an action of some sort via a trigger and guard rails and it
6:52
via a trigger and guard rails and it
6:52
via a trigger and guard rails and it could take that action for you oh yes
6:54
could take that action for you oh yes
6:54
could take that action for you oh yes okay brilliant so now we kind of know
6:57
okay brilliant so now we kind of know
6:57
okay brilliant so now we kind of know all about agents and co-pilots and stuff
6:59
all about agents and co-pilots and stuff
6:59
all about agents and co-pilots and stuff anything else we need to add I think
7:00
anything else we need to add I think
7:01
anything else we need to add I think that's this good so I think here's
7:02
that's this good so I think here's
7:02
that's this good so I think here's what's really important there's going to
7:04
what's really important there's going to
7:04
what's really important there's going to be many ways that you can use co-pilots
7:07
be many ways that you can use co-pilots
7:07
be many ways that you can use co-pilots and agents or build your own right we've
7:09
and agents or build your own right we've
7:09
and agents or build your own right we've got something for everybody everybody so
7:11
got something for everybody everybody so
7:11
got something for everybody everybody so let's go through the gamut so you kind
7:13
let's go through the gamut so you kind
7:13
let's go through the gamut so you kind of have to like how do I build them how
7:15
of have to like how do I build them how
7:15
of have to like how do I build them how do you build okay let's talk about how
7:17
do you build okay let's talk about how
7:17
do you build okay let's talk about how to build one the easiest agent in the
7:19
to build one the easiest agent in the
7:19
to build one the easiest agent in the world is a SharePoint agent okay so what
7:21
world is a SharePoint agent okay so what
7:21
world is a SharePoint agent okay so what you do is you go to some SharePoint that
7:22
you do is you go to some SharePoint that
7:22
you do is you go to some SharePoint that you have access to you select a bunch of
7:24
you have access to you select a bunch of
7:24
you have access to you select a bunch of files okay and you unselect the ones you
7:26
files okay and you unselect the ones you
7:26
files okay and you unselect the ones you don't want to agent over cuz you can do
7:28
don't want to agent over cuz you can do
7:28
don't want to agent over cuz you can do that we like don't bring that up um and
7:31
that we like don't bring that up um and
7:31
that we like don't bring that up um and you say create a SharePoint agent
7:33
you say create a SharePoint agent
7:33
you say create a SharePoint agent there's a little widget thing in the
7:34
there's a little widget thing in the
7:34
there's a little widget thing in the corner and it will create an agent where
7:37
corner and it will create an agent where
7:37
corner and it will create an agent where you can reason over the data that you
7:38
you can reason over the data that you
7:38
you can reason over the data that you have selected just to that SharePoint
7:41
have selected just to that SharePoint
7:41
have selected just to that SharePoint that's handy that's handy and you can
7:43
that's handy that's handy and you can
7:43
that's handy that's handy and you can share it with people in your teams who
7:44
share it with people in your teams who
7:44
share it with people in your teams who have access to that sh Point as well so
7:47
have access to that sh Point as well so
7:47
have access to that sh Point as well so it's good for a group your org Etc
7:49
it's good for a group your org Etc
7:49
it's good for a group your org Etc project V team that sort of summarizing
7:51
project V team that sort of summarizing
7:51
project V team that sort of summarizing and figuring things out and and and and
7:53
and figuring things out and and and and
7:53
and figuring things out and and and and putting stuff together is is a task that
7:56
putting stuff together is is a task that
7:56
putting stuff together is is a task that any human could probably do with a lot
7:59
any human could probably do with a lot
7:59
any human could probably do with a lot more effort a lot more effort so it's
8:01
more effort a lot more effort so it's
8:01
more effort a lot more effort so it's great like give a report on how this
8:03
great like give a report on how this
8:03
great like give a report on how this project is going based on the meeting
8:05
project is going based on the meeting
8:05
project is going based on the meeting notes on this presentation something
8:07
notes on this presentation something
8:07
notes on this presentation something like that fantastic right so that is a
8:09
like that fantastic right so that is a
8:09
like that fantastic right so that is a SharePoint agent second step of agent is
8:11
SharePoint agent second step of agent is
8:11
SharePoint agent second step of agent is if you want to be a little more fancy
8:13
if you want to be a little more fancy
8:13
if you want to be a little more fancy you go to kilot studio and build an
8:15
you go to kilot studio and build an
8:15
you go to kilot studio and build an agent okay that can actually you can go
8:17
agent okay that can actually you can go
8:17
agent okay that can actually you can go to Microsoft 365 and build an agent
8:21
to Microsoft 365 and build an agent
8:21
to Microsoft 365 and build an agent directly into Microsoft 365 to do very
8:23
directly into Microsoft 365 to do very
8:23
directly into Microsoft 365 to do very specific things for you that live within
8:25
specific things for you that live within
8:25
specific things for you that live within your Microsoft 365 T right not
8:27
your Microsoft 365 T right not
8:28
your Microsoft 365 T right not necessarily on a set of files could be
8:29
necessarily on a set of files could be
8:29
necessarily on a set of files could be on a website if your company has a bunch
8:31
on a website if your company has a bunch
8:31
on a website if your company has a bunch of data in M365 like you do like you
8:34
of data in M365 like you do like you
8:34
of data in M365 like you do like you know tons and tons of emails and files
8:36
know tons and tons of emails and files
8:36
know tons and tons of emails and files and all the things yes you need this is
8:38
and all the things yes you need this is
8:38
and all the things yes you need this is a good good place to agent y the third
8:40
a good good place to agent y the third
8:40
a good good place to agent y the third step is copad Studio because now if
8:42
step is copad Studio because now if
8:42
step is copad Studio because now if you've got plugins and connectors to
8:44
you've got plugins and connectors to
8:44
you've got plugins and connectors to external sources and this and that this
8:46
external sources and this and that this
8:46
external sources and this and that this is a good way to build an agent copad
8:48
is a good way to build an agent copad
8:48
is a good way to build an agent copad Studio still low code but now you can
8:51
Studio still low code but now you can
8:51
Studio still low code but now you can assign actions to it via power automate
8:53
assign actions to it via power automate
8:53
assign actions to it via power automate that thing we all know how to do right
8:55
that thing we all know how to do right
8:55
that thing we all know how to do right and now you assign triggers just like
8:57
and now you assign triggers just like
8:57
and now you assign triggers just like power automate so co-pilot plus far
8:59
power automate so co-pilot plus far
9:00
power automate so co-pilot plus far automate is agents and co-pilot Studio
9:02
automate is agents and co-pilot Studio
9:03
automate is agents and co-pilot Studio nice yeah so those are the three ways
9:05
nice yeah so those are the three ways
9:05
nice yeah so those are the three ways that we've been talking about there's
9:06
that we've been talking about there's
9:06
that we've been talking about there's going to be a high code way which you're
9:08
going to be a high code way which you're
9:08
going to be a high code way which you're interested in I like the high code way
9:10
interested in I like the high code way
9:10
interested in I like the high code way yes I do too it's going to be called
9:12
yes I do too it's going to be called
9:12
yes I do too it's going to be called Azure AI agent service long name that's
9:15
Azure AI agent service long name that's
9:15
Azure AI agent service long name that's a long name it's a long name private
9:17
a long name it's a long name private
9:18
a long name it's a long name private preview in December public preview later
9:20
preview in December public preview later
9:20
preview in December public preview later that's coming to Azure very cool yeah
9:22
that's coming to Azure very cool yeah
9:22
that's coming to Azure very cool yeah there's something for everyone something
9:24
there's something for everyone something
9:24
there's something for everyone something for everyone yeah I want to thank you so
9:26
for everyone yeah I want to thank you so
9:26
for everyone yeah I want to thank you so much Donna for being on the cloud show
9:28
much Donna for being on the cloud show
9:28
much Donna for being on the cloud show and talking to me about and co-pilot all
9:30
and talking to me about and co-pilot all
9:30
and talking to me about and co-pilot all the things thank you thank you so much
9:33
the things thank you thank you so much
9:33
the things thank you thank you so much and thank you audience and I'll see you
9:35
and thank you audience and I'll see you
9:35
and thank you audience and I'll see you guys next time on the cloud show
9:37
guys next time on the cloud show
9:37
guys next time on the cloud show [Music]
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