Welcome to the Power Platform Show . Thanks for joining me today . I hope today's guest inspires and educates you on the possibilities of the Microsoft Power Platform . Now let's get on with the show . All righty , we'd like to welcome everybody back to the Ecosystem Podcast . A little different today first time in the history of the show , we're all together .
Welcome , welcome , hi , welcome Hi . So we are your hosts Mark Smith , andrew .
Welch William Dorrington .
Anna Welch . Chris Hunsingford Hunting Ford , ford , ford . He hunts Fords . We're coming to you .
Wow , that joke has never been made . Behold sports , we're coming to you .
Wow , that joke has never been made . Thanks for the wise words .
We're coming today live and , by the way , if we slur and stuff , it's not because we have drunk anything , because we haven't . We have generally been in transit for the last 24 hours , some of us worse for wear than others , but anyhow , we're here at Dynamics Mines in Porto Rojo .
I can't pronounce that , so hence it's been pronounced , and so we decided why not ? Let's try a podcast . We've never used this equipment before . We've never used this microphone before or that one . What could go wrong ? What could go wrong , but to set the scene . I'm going to hand to Andrew . Go wrong , but to set the scene .
I'm going to hand to Andrew Well , so for this episode we have some product placement for Ryanair . Chris Huntingford would like to speak about his experience getting to Dynamics Minds to the conference .
Let me tell you I will never , ever , ever , ever , ever , ever , ever ever fly with that terrible , appalling excuse of an airline ever again .
How close were you to being arrested in the airport yesterday , Dude people ?
saw the fury . It was actually so bad Like they booked me on three incorrect flights , dude three . I had to go through security twice . It was wonderful they were all delayed and then they wait . The best part is I got left at a services station by the cab driver .
At the .
Italian border . So just to put this in perspective , I took the same flight earlier in the day . It took me two hours , right as in destination to destination . You flew Brian Air . No , I said I did the same flight , different Chris set out at 10 am and didn't get here until 3 am the next day .
I love when Mark says the letter M and also the word dead .
Can we ? What Dead ? Why did I say M ? M ? Yeah , all right , also the word dead . Can we ? Why did I say im ?
Im All right . So for those of you who don't know , we're at the Dynamics Minds conference in Porto Roche , Slovenia . We've got I don't think they were expecting this many hosts on the same podcast in the podcast room , but this is .
A beautiful backdrop .
With this beautiful backdrop right here . This is a beautiful backdrop , with this beautiful backdrop right here . But otherwise this is . I think this is the best Microsoft community event of the year it's got to be . I mean the , the .
Yeah , I'd say ColorCloud in a different way was fantastic , a lot more intimate , a lot more sort of reminding me a bit more of the origins of the community . But yeah , I've never been here before and it's . It's another level , it's blown my mind , quite frankly .
Yeah , the energy at this conference right , and the people wandering around and it's the only time I've ever seen sort of an exhibition floor with the displays and the sponsors who are here . That's lively and people chatting and people getting to know one another . It's a fabulous event .
It's amazing , right , and people have made so much effort , so it's not just hey , here's my stand and here's my company . They've got like theme things going on and wizard hats and flaming Ewoks with doom swords and all sorts of weird cool things . There's a flaming Ewok . Yeah , it sounds great . It just sounds cool .
Man , we should put some pictures actually on the website from this .
They do have a photographer , and that's amazing as well . We all look way prettier than we are in real life in these pictures . Honestly top quality stuff .
He's stunning .
That's true . The amount of technology , though and yesterday Andrew and I did an ecosystems one-on-one course was the first of its kind . We learned a lot , mainly that it cannot be done in three hours .
It turns out it is very difficult to squeeze introduction to ecosystem-oriented architecture into three hours .
But what we did , I think , was structure the whole information in like six major principles , and that worked really well and it felt like people went away , like walked away with something . Plus there was a lot of like pre-reading and stuff like that .
I was particularly impressed with the kind of quality of the report outs at the end of the group of the small group exercises right . So what we did is we broke . We had a class of 15 , 18 people , something like that was that many , it was a huge like five people . No , we had we had . We had 18 registered and 15 turn up .
Um never a good story of facts , guys guys .
At least 50 people At least 50 people in the class right . We broke the class up into three groups and we gave them each a couple of scenarios , and the whole idea was that each group was playing the role of an ecosystem architect .
So we had a scenario that we would give them about hey , your organization is trying to build a data platform , or your organization is trying to modernize a bunch of apps . And then each scenario came with three proposals and the idea was hey , an engineer or someone on your team has made these proposals .
Which proposal are you , as the ecosystem architect , going to recommend to the CIO or are you going to make your own proposal ? And the report outs from the group activity was . I thought they were very strong .
So we recommend it , especially if you have , like , a very hard problem to solve . You just do a workshop , you know , and get a bunch of clever people from around the world in Slovenia to try and solve your problem , because those were some really clever people around the world in .
Slovenia to try and solve your problem , because those were some really clever people and I think my biggest takeaway was the fact that actually there were two , but the number one takeaway was the fact that people are really interested in ecosystem architecture and things are moving that way , for sure .
Yeah , chris , how was your panel today ?
Oh , it was awesome . So I did mine with um fast . Oh , and Victor , they just they're just fun right , Like they just read and it's quite cool because faster is very SharePoint , he very technical , very Debbie , and then you just include SharePoint and technical . Actually , yeah , I know it's normally a sinful thing for me to do .
Victor's got great PowerPages experience and he's done quite a lot across the stack . And then I'm obviously exploring the Purview side and everything and it was cool . We got asked some really funny questions around data .
So I used your story around Dataverse hydrating the data lake , or one lake , and how the go-to data platform of choice for me right now for transactional data and relational data is Dataverse and why it's important and also why that plugs into Purview right , Like the data mapping and all the security available there .
So that came out right and I've actually noticed it's coming out in pretty much every discussion I'm having . So , yeah , especially the ecosystem side . So , yeah , it was good , fun , man .
Well , power Platform right now is a . I think that Power Platform is all a data story right now . Yeah , that has been for a while . Yeah , it has been for some time , but I'm still astonished how few people , actually , I think , look at it that way and talk about it that way .
But you know , to me , the modern data platform at this point is very reliant on a combination of fabric and power platform , and the reason for that is because of Dataverse . Dataverse is the story here .
Yeah , and what's wicked right is that ? So Tonya , one of the ladies in the audience , she's been to a couple of conferences and she always comes to the sessions and she was in one of the governance sessions I did like in Germany and I love the way she was thinking about it . She's like , yeah , this is about data .
We should be really thinking about it that way and she said that in the audience . I thought you know what ? That's great , because the message is resonating really well .
It's the key way to leveling up Power Platform in general . If you look at the way that we've gone and the evolution of applications and the complexity and reducing that complexity and reducing it , and reducing it and reducing it , the easiest way to explain the Fabric and the synergies between the two is that's what they've done with data .
Right , data was still incredibly complex . They still had to set up a shed , nearly slipped on a shed of infrastructure and various integrations , et cetera , et cetera , et cetera . Fabric removes that now . So you get that democratization of data which allows you to create truly powerful applications . Yeah , and that's why we're seeing that creep up more and more .
Because you want to level up , you want to get to that enterprise scale applications , you need to plug it into fabric I'm still hearing , though we're a year on , so I think fabric I forget the exact date , but it was released basically a year ago today or a year ago last week and it went GA yeah , I think in November .
But I'm still surprised by how many organizations from an investment perspective and how many architects are still hesitant because they feel like , oh , they want to see the technology be proven . Folks , fabric is a mature technology , built on mature technology . There's more capability .
I think that for a long time , for a year , we didn't have the ALM , the Application Lifecycle Management story in Fabric that we wanted . But go watch the build recordings from last week .
But there's something that comes up all the time , and there's always something that comes up Any new tech . There's always a common theme of something , and fabric seems to be cost at the moment , and I think it's because it's brutally expensive , but is it ? And the reason why I say but is it ? Because we all know it is , but is it ? So ?
It's democratized it to a point that it just looks like it's ingesting your data . You don't see all the infrastructure it's spinning up in the background that you'd normally pay for and you go look , we've had to spin that up and we paid this much . And then this , then this . It's doing that for you , but all you're seeing is the consumption of data flowing .
For you know what this is , just capacity . It's a lot more than just capacity .
It's all your sparklings , is everything else that goes with it , and I think that's what people miss out , and scott sue does a brilliant explanation of that and why people perceive it to be expensive , when actually , if they really see what they're getting because they're not seeing behind the scenes they go actually , that's reasonably priced .
Let's get a shout for Scott Sewell . Follow Scott Sewell , if you're not already .
He's Mr Fabric himself . That's what I call him .
Yeah , absolutely . I guess what I want to point out is also the fact that people miss out on the manpower that it would take to build all that , and more than the actual skill to build all that . Try and convince a bunch of data people to talk to and work with a bunch of power platform people and then with some devs , and see how long it will take you .
Fabric not only hides all of that work away from you , but it makes it easier for everybody to work together .
I think this is a good lead-in to the work that Mark has been doing on the . What is it ? The fallacy of free ? Mark is here .
Yeah , this is me , you're welcome .
Yeah , so the fallacy of free , no , and so this this is a really interesting concept , right , and that it is that people think that if they do more and they add more bodies and there's kind of no factoring of the owner , the cost of those people , so we just add another person to the project , it adds up and this whole concept of the total cost of ownership
, people . So we just add another person to the project , it adds up and this whole concept of the total cost of ownership never gets recorded . And so , rather than using a best-in-breed like uh , managed , managed environments , for example , and everyone's like , oh , yeah , it costs premium though , but like , does it really ? Like ? Yes , it does , but does it ?
What I'm saying is that if you mix that in the the total cost of your ownership of the project , the delivery , the outcome , let alone let's not talk about governance , security and everything else you get with it .
It's a no-brainer when you compare a real apples with apples scenario , as opposed to what we're just incrementally adding to projects over time and not recording against it . And it applies in the same example that you've just covered .
We've just come off Build , a week of Build and yes , I'll say , the word co-pilot was mentioned once or twice , a few times , and with that the word AI . How far into this did we get without actually ?
saying AI Not too bad .
We've been recording for 14 minutes , but one of the interesting things that comes up is that a lot of people have a lot of apps built on SharePoint and I don't think they're actually aware that all that data sitting on those apps have now just been made available to the office graph . If you're starting your AI journey , any thoughts on that ?
Yeah , this is something that we've been talking about for a long time , right ? Why is premium power platforms such an incredibly good investment ? And I think that you know we can make . We can make such a case around the value that you extract . And if you don't believe us , go read the Forrester report from maybe a year and a half ago .
But one of the things that I think has been underplayed is the risk that organizations take on when they over build , using free capabilities or capabilities . You know the basic power platform capabilities that come with Microsoft 365 , right ?
So the phenomenon here is that a lot of these organizations they we've already got SharePoint , we've already got these basic power platform licenses . We're going to build these apps on SharePoint and , by the way , this predates power platform . There is a whole generation of the SharePoint app , but the security model in this has often been security by obscurity .
Right , our data is secure because no one knows where to find it . Well , congratulations . Ai knows where to find it . And if you've overbuilt these applications in SharePoint , right , as Mark said , that data is now wired into the Microsoft Graph and that data is now wired into the Microsoft graph and that data is now hydrating . M365 Copilot .
And you ought to think about that data , because we talk about PI , or PI personal information as opposed to personal identifiable information , right , pii ? And there's a distinction here , because you might think that you're not presencing that data of that individual , but the thing is so many data points are coming together that it's quite clear who it is .
I heard of a case recently in a police situation where they want to put the badge number in of an individual . We're not putting their name or anything , but that's identifiable information that AI can light up if it has access to other data sets in your network .
So I think you've got to be really careful in that the solutions that you might have built you might . Yeah , it doesn't have somebody's name in there , but is there enough information that pulls together to make it clear that other colleagues know who you're talking about ?
Oh , yeah , yeah , it's interesting , right , because I've said to people all the time .
I say this in my session now I'm like ai acts as a loud hailer for badly treated data absolutely it really does , and if you're taking relational data or transactional unstructured data and then contextual data and you're welding those together through an ai platform , all of a sudden , that that data has got superpowers , and if you don't respect that data enough , man
, that's , that's on you , right , as a as a business . It confuses me so much because , like I had this conversation with you guys already Like I have a social media profile . I don't let everyone access my social media profile . Like I have protection in there and there's certain things that I don't want people to see .
Like I obscure my addresses and things like that . But that's me . And if data is a digital representation of you , your business and your affiliates , why do we not give a damn about it ? Like , why do we just say , oh , it's too expensive to do this ?
But yet they will say it's the most valuable resource they have . Every time I'm super confused People .
I'm just extremely confused by that . And then you know you're given these amazing tools by Microsoft to actually solve the problem , like tools such as Purview and Sentinel and all of that stuff , but we're like , no , it's far too expensive to pay that license . We would rather have our data not looked after . Yet it's our most valuable asset .
I am completely , am I just really ?
stupid . And then you get a 4-3% turnover leak thanks to GDPR . Well done .
Is it just me , though ? Am I missing something here ? No , no , no . To me it seems super obvious .
I think it goes back to what Andrew said , that you had a really good term for it . Then it's about you'll have to correct me Security by obscurity , security by obscurity . I think that's the issue in most organizations , because no one's been able to access it to date .
But you know , with these language models , right , you know , in that scenario I can say listen , what's the probability of this being XYZ employee ?
Because it's now got all that data right .
All of a sudden you can light up those scenarios which might have been hard to write the query . But for an LLM , writing that type of query is going to be a cinch .
Yeah , I agree , I think , now that we have this ability , it kind of terrifies me a bit , but also I think it's forcing organizations and us to actually respect the data that we have , because right now agents aren't out yet completely . We have a prompt box that we talk to , but in two years' time we may not even have a prompt box .
It will just do things right . And that's the part that freaks me out the most is that , if I know my data is not being looked after in a business and all of a sudden I have a bunch of agents or AI running around in the background just using my data like an RPA would have , I guess . Yeah , that panics me a lot .
Can we talk a little bit about , because I think that most folks may not have yet heard about or thought much about this idea of agents , and there was a lot of talk about this at Build , so does someone want to take that on ?
I just wanted to comment just before it goes , though , like we always , we're very good at explaining the concerns and the negatives that that brings , but actually there is a positive to all this , which is it's going to drive change . It's going to drive better data hygiene in the long run .
Otherwise , the companies , the organizations that most need , for example , co-partners from M365 , won't be able to adopt it until they've done it . So they're going to be forced to do it , and that's a good thing in itself and that's what comes with change . So I just wanted to point that out . So there is a positive spin on it .
Yeah , no , absolutely , and the only thing that you need to make sure is that you're not one of those organizations who aren't actually , unfortunately , looking after their data .
I mean , this is the AI strategy right White paper , right there . You know those organizations that are getting kind of where many organizations that are investing here are pulling away from the pack , but the ones that are not are not going to realize the error of not investing right now until it is potentially too late for them .
So when Andrew talks about the white paper , you can find that on Cloud Lighthouse , which leads me to I'm going to come back to agents . But why do we take this moment to say do you want to welcome me ?
I'd like to welcome Mark Smith as a partner at Cloud Lighthouse Boop boop . Oh , finally , the industry's worst kept secret he's official .
I'm official . I'm official . Anyhow , back to agents . Tell us more about .
Mark .
Tell us more Honestly . I think agents is the most honestly enough , it is the most exciting thing I see in the future as in . You know , I went to a session at MVP Summit and it was the R&D team at Microsoft and how they were thinking about this concept of agents and they had some demos that were .
You know , let's say , you took a C++ agent that was just an absolute guru on C++ . Did you ban the word guru on the podcast ? No , gurus , okay , it was the preeminent expert on the topic , preeminent expert Of coding in C++ , right .
And so you know , like we've known for years , a developer should never be able to critique their own code as in as the final release , right , you should always have a tester , qa , that type of thing is natural .
Then you have an agent that's an absolute , preeminent expert on on testing c++ code and these two agents , one hands the code to the other , the other validates it , hands it back , but then you take out the whole lag of communication , how quickly that solution can be developed out through multiple could be 50 iterations in one hour as an example , right , which
you'd never get . That kind of time in the real world and that speed . See , I gave you that example that they gave there . But now let's take any part of any business . A marketing department you can only afford one marketer or no marketers . A marketing department you can only afford one marketer or no marketers .
Now you have the ability , let's say , to hire 50 marketing agents , with each one of those agents being an absolute guru just in one part of the marketing .
Oh sorry , permanent expert In one part of the story is , I mean , I just think that the ability for small business , smc , to scale at a low cost , I think it's going to create a lot of new economic paradigms .
I think it's going to bring a lot more benefits to even sort of us at home chilling out , right . So when we say agents , we refer to larger genetic models , large action models . It's going beyond just the ability to generate , generate , you know , text and images and videos and diffusion models and multimodal aspects .
And it's actually the bit that I get really excited about as you probably tell , I've come , I've come alive and I'm very tired is when we start reaching out into the both digital and physical environments to do more . So let's take a really simple example . Let's remove the , the tech aspects and like , even like .
So I want to book a trip to Slovenia to come to Dynamics Mines , I need a hotel and I need some flights . So if I speak to my agent and I say I'm going here , I need this , my agent from previous trips will know my likes , my wants .
I like being near the beach , I like being near a shed ton of rum and I don't like to fly too far because I don't like flying . So I want a short , direct flight . Get me there as quick as I can and avoid so it's not my flight from yesterday . Yeah , yeah , so not your- .
I would have just been tense the whole time and then ran off Making sure , we're very clear so what that's done is . I ping that across , say , and it goes Slovenia on these dates and it will go all of a sudden it'll go yep , fantastic , I know you like these things . Blah , blah , blah , blah .
And it is pre-qualified to go off to bookingcom , to Skyscanner , and it will have my access to my bank to certain values , and it will say I found this . Are you okay to book ? Absolutely Go off . And it does that all for you . And that's when we start really seeing how powerful these things are . So we can talk about the code aspects as well .
Really important , but actually applying it for customer service , field service , everything else .
Dude , I think that I cannot wait right , because , can I tell you , life admin in my world is freaking hard , like it's really hard , and that going away or being made easier would be unbelievable .
But you take that to the next , like that one scenario that he just gave , that all of a sudden it notices that if you flew a certain class you'd go up a tier on your frequent flyer program .
It would also note that halfway on your journey there there was a rum distillery that has the rum that you like , because it went and looked at that peripheral information and while you're away it would know the ages of your kids , family , that type of thing . And that gift was going to be perfect . They were going to have it all ready .
It could be delivered to your hotel room , like all that kind of wraparound stuff that we think about or don't get time to think about . It's taking care of all those intricate details that make up a massive . Yeah , and log the expenses .
One of my favorite things about receiving a gift from Mark Smith is how thoughtful it is . Yeah , every time , just put so much thought into it .
Okay , okay , at the end of the day , right , if I gave you a billion dollars , do you care how much thought I put into it ?
Yeah , I would rather have a good gift that you put no thought into than a crappy gift that you put lots of that .
you put all the heart , you , you want me to hand draw your card . Put little kisses on there . Oh , that's important .
But oh no , the billion , no alexandra , mine and anna's two-year-old did hand draw cards for her , for her grandmother's , for mother's day , and I thought that was nice , it wasn't ?
very intelligent , but it was very cute it was very cute , it was very cute it was very cute it was a bit like you saw the monster .
Yeah , it was very cute , exactly .
Honestly , the whole concierge service stuff , but to the next level , it's fantastic . Andrew and I did use a lot of AI to book our honeymoon . It had to be like around the world trip almost . It had to be booked all in like two weeks and we had a very limited budget because we were in an interesting transitional period of our lives , you know .
And we did all that , but using multiple agents , right through prompt engineering , through going Right now , I can already see how AI is evolving . Now I can already see how AI is evolving . For example , the other week I bought some glasses for my mom and as I was just getting ready to check out , I was like , hmm , go , pilot , can I get a better deal ?
I got a 50% off the same thing . Wow , wow , wow . It was incredible .
What's scary about this is if you think about when bidirectional encoder model came out generative pre-trained transformer architecture . A couple of years on top of that , we then suddenly got diffusion models . We then got whisper models . On top of that , we then got Lumiere , we got the Saurus model .
Then , a few days after that , we got the alpha geometry and science and the mathematics . Then after that we're starting to move on to now actually agents . This is a matter of days , right ? How far from sort of dare I say , artificial general intelligence are we , and how do we define that based on you know what we're saying .
He doesn't want to hand me the microphone because he worries that I might go on a conspiracy .
It turns out Mark Smith is a conspiracy theorist .
No , I'm not , I'm not , I love it , I love it , I love it , I love it . You know the pyramids .
Anna ? What was the conspiracy theory ? He was peddling on us the other day . Do you even remember ? It's almost like Mark said . I'm going to go freak my friends out at Dynamics Mines with every conspiracy theory in the book .
I can't believe it . I love treating you , Mark .
I'm not even kidding , but , anna , what was it that he was going on about yesterday ? It is irrelevant .
What I was going to say is the universe is made up of both magnetic and electrical states , and it's going to affect a lot about the lack of gravity we're going to have shortly . So , that aside , I've been watching the Joe Rogan show .
So what I was adding to what Mr Dorrington was saying Adding to what Mr Dorrington was saying and the reason I say adding to because my mind is trying to catch up with the conversation is that I was reading the other day a book which was called Superintelligence , which was written in 2014 .
Amazing stuff Oxford professor , you know and in it he talked about in machine learning , it used to take like 30 days to train a model . That same model now is down to less than two minutes when you talk about the speed , a like for likeness , and you know .
Not just reinforced learning , but a direct policy optimization .
It's getting a lot quicker and that's what enables it .
They can do self-guided training as well . It's a whole different world . So we talk about these big developments , but we forget that it's the little developments that make the big developments happen .
Yeah yeah .
Thanks for attending my TED Talk .
Yeah . So the other thing I just wanted to touch on is like I'm saying it a lot lately is this concept of friction in AI , and I feel like it's a bit clunky . The starting out of AI and I'm talking about how I feel like AI is creating more friction in the admin life .
Admin at the moment and I give an example Email is something I've been harping on about is that I would like my email to become a lot more friction free . Yeah , with the use of ai , I don't want it to just draft me a response , I want it to intelligently understand my email over time , with the goal of making it friction free .
So not just drafting , but categorization , what's important , yes , all that type of stuff . And at the moment , the way ai is interacting , it's like um , so you start typing the sentence and then , once you've given me enough information , I will construct your email . I'm like , wow , that's more friction .
And I'm like I feel we've got to bear with it for a little while . But I'm in everything you know , because people like , ah , that was too difficult , right , I see even peopleing and they prompt like it's a search engine query they're doing , rather than actually it's a backwards and forwards engagement .
What's funny about this is I look at all of it and I think actually it could do a load of that , and I do think it's drip fed a bit to us for adoption . I might just say , oh no , that would freak them out , but what we will do is screenshot everything they do on their computer every second to do a whole recall . That was ridiculous .
I'm like how was that given to Satya as a great idea , especially that Mac ? You know , Mac had the Wayback Machine back a while so not the Wayback Machine , it was called Mac has had the speech of some time .
Time Machine Time Machine , time Machine .
That of sub-time Time machine . Time machine , that's what I was , and I was like did no one think that there's people that have been on Mac will go oh , isn't this time machine the point I wanted to ?
make .
There , though , is because you're kind of describing , at the same time , sort of personal large language models , and we all , you know there was a room that Apple was developing this as their race to the market , and it's going to be able to be really good at scamming , and this is the same issue with that recall , but I think there is a route to success
there .
But also he dropped in the word edge in the conversation and as someone who's in the ecosystem , knows kind of what they're talking about . When he said that first up I'm thinking web browser . But he was not talking about web browser at all . He was talking about language models at the edge on your hardware , on your device .
I think they could have been a bit more explaining about or clarifying what the edge meant .
So I have to look this up . Speaking of Microsoft products , here we'll say something intelligent .
While I find this , what I'm seeing on your phone there is rather worrying .
So I was preparing the course material for the session that Anna and I taught yesterday , and one of the things that we wanted to do is we wanted to share some technologies that people should be learning more about .
So I asked Copilot to write me a one-sentence description for each of the following Microsoft technologies , and I've got OneLake and Purview , azure , ai , search .
I've got a list here , and Copilot did an admirable job of summarizing these technologies until it came to number eight , and that was I had asked for co-pilot studio , and co-pilot replied back co-pilot studio is a fictional term and does not correspond to any known microsoft technology co-pilot studio is such a confusing thing to search on as well .
Oh my god , whenever , because it's a , it's a thing right , and people use it a lot and it's very , very useful . And use copilot studio in conjunction with , I know , customer service like it's a . It's very , very important . You cannot really find any relevant information about it because it just gets mixed with everything else that .
That's the answer to why it struggles , because all it's doing is using that to predict the next word when they have these awful naming conventions , which is let's just call everything . You don't know what you're talking about . Let's call everything Copilot and let's see how it works .
This is brought to you by the same people that made something Teams , teams , teams .
Teams .
We needed Teams , teams , teams .
Teams .
Teams , Teams yep and .
Yeah .
Well , so this my my debate with Copilot continued when it got to Azure AI Studio , and it said the same thing Azure AI Studio is not a recognized Microsoft technology . It may refer to a fictional or future product , but finally it came to fabric and it said .
Copilot said fabric is a term that can refer to various Microsoft services , but it is not specific to a single technology , which , well , probably that is true . But come on , copilot , now you just you know what I want , you know what I want you to tell me .
It's just lazy , that's lazy , yeah , exactly . I think that exactly what we were saying before the fact that it's a conversation with Copilot . It's a series of prompts , and then you asked it a question and you were unhappy with the response , and then you broadcasted it to the entire world . That's just not okay . No , no .
But that's the thing . Right is that if it's a conversation and you're having a conversation with you know a friend and they said something that you knew was out of line you don't go . Oh it I'm out , exactly goodbye . Can you believe that ?
I can't believe you said that , like you wouldn't take that indignant type , you know attitude , you'd go buddy , you're you know you would say you're full of it , mate . That ain't the truth , right ? Or what are you being smoking ? Or something like that ? Right , you would call them on it , you . You would develop the conversation further .
Is that what you said to the chat ?
Yeah , yeah , yeah , yeah , yeah , yeah . Yeah , I typed my own one-sentence description . Nice , you did that was myself .
Considering you are an author . Thank you .
That's nice of you to say . It's such a pleasure .
But I think it was actually very interesting because we assembled all of that information about technology for the scenarios that we had in the course , but people came up with so much more technology , also very suitable . So that was very interesting how ecosystem enablement actually means so much more than the tools that we would expect .
yeah , yeah I'm surprised with that new functionality . Back to the microsoft . What is it called ? Uh , recall , yeah . So I put a tweet out and said , okay , I'm going to deal with the elephant in the room here . Um , what if there's stuff that I don't want to add into my digital record ? You know , content I might look at from time to time .
I know you're all acting like you don't look at this stuff . But let's say , you know , is there a pause button like on it ? Is there any kind of well you know what ? This window of next three seconds ? I don't want to record it Three seconds . Yeah yeah , 30 seconds Okay cool .
Incognito browsing is totally secure .
But there's still screenshots .
That's recording my screen .
We can end on that .
I'm literally not commenting .
So back to Build last week . What were some of our favorite build announcements ? There were some good ones , but what were we ?
into .
Copilot PC . Tell us more .
It costs about $4,500 . That's when I've specced up the machine . So if I get it right , right and I don't know that I do if I get the processor , the RAM , that type of thing , my understanding is it's running small language models right on device .
So it's going to do a lot of the AI heavy lifting for speed and a lot of what you do direct on hardware as well as interface back to the cloud . That's my understanding of it .
Okay , so yours is different . No , no , no , I didn't understand it at all in the beginning . You've cleared it up for me , yeah . I was just wondering why I use a MacBook .
Because of speed . The biggest lag on using an LLM is internet latency , right , the speed that it can get there If it's going to become full . Conversational in other words , no lag , right , shucks , okay , I get it Right . Conversational in other words , no lag , right , shucks , okay , I get it right .
So the idea is , if I because we're all ultimately going to go to voice as a interface that we're going to use all the time right , so you're not going to stop , right , yeah . So you imagine , if you said , uh , you know you asked a question or having a conversation , the other person went quiet for a period of time .
Well , I thought about what the fuck are they ? Sorry , what are they going to say , right ? Um , that would be painful . So what ? The whole idea now is that , yeah , is that they're going to process a bunch on device and then hand to server , etc .
That makes total sense that's , that's my understanding .
Final word , final word from the most impressive thing about that , though , is it used to take such extreme power to run these models and such large volumes , and now you know this goes back to what I was saying about the waves of technology crashing again closer and closer and closer together .
We've gone from we need all the power in the world to hey , why don't you just put it on this computer and just run your own little personal lmao ?
we're back to on-prem , you know it's great , reminded us all why we went with the name Cloud Lighthouse because of the waves .
Yeah , the waves , yeah , and that device 850 grams . It's 850 grams . I'm American . That needs to be edited out what he said there . Thank you , hey , thanks for listening . I'm your host business application MVP , mark Smith , otherwise known as the NZ365 guy . If there's a guest you'd like to see on the show , please message me on LinkedIn .
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