Episode 354 – Splunk and Cisco sitting in a tree

October 05, 2023

Episode Transcript

In Episode 354, Ben and Scott catch up on news and the latest announcements starting with Cisco and Splunk merging. Then they discuss the Surface and AI event where we saw the latest Surface hardware and learned about the straight to GA release of Microsoft 365 and Windows Copilot.

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Show Notes

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1 00:00:03,240 --> 00:00:08,170 Welcome to episode 354 of the Microsoft Cloud IT Pro Podcast. 2 00:00:08,770 --> 00:00:11,610 Recorded live on September 22nd, 2023. 3 00:00:12,040 --> 00:00:16,970 This is a show about Microsoft 365 and Azure from the perspective of it pros and 4 00:00:16,970 --> 00:00:21,090 end users where we discuss a topic or recent news and how it relates to you. 5 00:00:21,430 --> 00:00:23,250 We have some news today. Finally, 6 00:00:23,550 --> 00:00:27,490 we have a release date for Microsoft 365 co-pilot. 7 00:00:27,750 --> 00:00:32,130 We also discuss a few other topics from the Microsoft Surface and AI event where 8 00:00:32,130 --> 00:00:36,650 co-pilot was announced as well as the acquisition of Splunk by Cisco, 9 00:00:36,700 --> 00:00:39,850 which was also riddled with reasons around ai. 10 00:00:40,110 --> 00:00:44,010 The only thing that wasn't AI in this show was Scott and I discussing it all. 11 00:00:46,390 --> 00:00:49,850 Hey, we're back and better than ever. 12 00:00:50,310 --> 00:00:51,020 We are. 13 00:00:51,020 --> 00:00:53,170 We're not better than ever are we? Why is my. 14 00:00:53,170 --> 00:00:55,970 You're dark. I'm so, so low. Yeah, 15 00:00:56,630 --> 00:00:58,210 that's a ISO auto. 16 00:00:58,770 --> 00:01:01,290 I don't know why it's low teams are kind of dark too. 17 00:01:01,480 --> 00:01:04,530 It's like your camera's just not wanting to adjust. 18 00:01:04,930 --> 00:01:07,730 I can't let any more light into this lens if I wanted to. 19 00:01:08,270 --> 00:01:09,970 You know what it is, Scott? What is it? 20 00:01:10,080 --> 00:01:13,890 It's becoming later in the summer and the sun's further away. So it's darker. 21 00:01:14,770 --> 00:01:18,810 . I, I don't even, I don't know. 22 00:01:19,030 --> 00:01:22,730 So funny enough, I have three different pictures. I have the one in teams, 23 00:01:23,570 --> 00:01:28,570 I have the one in invite cam and then I have the one in Discord and they all get 24 00:01:28,930 --> 00:01:29,170 Progressive. 25 00:01:29,170 --> 00:01:31,690 And I guess I have the one on my camera 'cause I have the monitor up in front of 26 00:01:31,690 --> 00:01:35,930 me. Uhhuh. . They all get progressively darker like, Hey, 27 00:01:36,100 --> 00:01:37,730 we're fine. We're ready to go on the camera. 28 00:01:38,270 --> 00:01:42,290 And by the time it gets to Discord, nice and dark. 29 00:01:42,290 --> 00:01:46,250 So I'm gonna blame it on your side. Okay. Even though I shouldn't. 30 00:01:46,560 --> 00:01:49,330 Okay. News stuff, random news. 31 00:01:49,700 --> 00:01:51,210 Stuff. Where you wanna start? How about. 32 00:01:52,300 --> 00:01:53,370 Cisco? Cisco. 33 00:01:53,520 --> 00:01:54,930 Cisco's buying Splunk. 34 00:01:55,220 --> 00:01:58,690 Cisco has some money to burn . Hefty 20, 35 00:01:58,950 --> 00:02:00,690 was it $28 billion? 36 00:02:01,320 --> 00:02:04,770 Something along those lines. And interesting enough, 37 00:02:05,110 --> 00:02:06,690 so this was announced. 38 00:02:07,480 --> 00:02:08,330 Yesterday, right? 39 00:02:08,430 --> 00:02:10,850 It was just like recently. Yeah, yesterday or the day before. 40 00:02:10,880 --> 00:02:14,490 Yesterday. The 21st. San Jose in San Francisco. 41 00:02:14,790 --> 00:02:19,450 Ha ha off the presses. I kind of forget about this. 42 00:02:19,450 --> 00:02:22,770 Sometimes with W with Splunk and where they sit, 43 00:02:22,770 --> 00:02:27,250 like I still tend to think of them as just a, an observability play and, 44 00:02:27,270 --> 00:02:31,650 and being able to go back and kind of do logging and, 45 00:02:31,710 --> 00:02:34,090 and really like logging. 46 00:02:34,100 --> 00:02:35,130 Right? Like sim, right? 47 00:02:35,130 --> 00:02:40,050 Like you always think of Splunk and a sim as my initial reaction. 48 00:02:40,290 --> 00:02:42,730 I don't know. 'cause I don't touch Splunk every day. 49 00:02:43,130 --> 00:02:47,970 I always kind of forget they're there. And I really tend to, I guess, 50 00:02:48,130 --> 00:02:52,490 downplay it in my head as to like capabilities and what they are. 51 00:02:52,670 --> 00:02:55,250 So like I'm, you know, a little naive about it. I'm like, 52 00:02:55,250 --> 00:03:00,200 oh they're logging and then Cisco buys them and kind of the top build item is we 53 00:03:00,200 --> 00:03:05,000 wanna do like this whole integrated security detection and and 54 00:03:05,000 --> 00:03:07,600 threat detection thing. So to your point, 55 00:03:07,670 --> 00:03:10,040 very much like a sim seam, 56 00:03:10,440 --> 00:03:12,680 whatever you wanna call 'em and putting that all together, 57 00:03:12,680 --> 00:03:16,120 which is like makes perfect sense, right? Like that's what Splunk is. Yeah. 58 00:03:16,260 --> 00:03:20,280 But yeah, just , I don't know. I completely lost sight of it. 59 00:03:20,280 --> 00:03:24,880 And then to see Cisco buying them was interesting. It's like you, like you said, 60 00:03:24,880 --> 00:03:26,880 money to burn someplace. Yeah. 61 00:03:26,880 --> 00:03:28,640 And it's an interesting play, right? 62 00:03:28,640 --> 00:03:33,360 Because like my first thought was why in the world would Cisco buy 63 00:03:33,640 --> 00:03:35,600 Splunk? 'cause on the other flip side of it, 64 00:03:36,240 --> 00:03:41,240 I always think of Cisco as I guess telephony but then 65 00:03:41,250 --> 00:03:41,990 networking. 66 00:03:41,990 --> 00:03:46,920 Like they've always been networking hardware to me where Splunk 67 00:03:46,940 --> 00:03:50,160 is, this sim seems software and it's, 68 00:03:50,920 --> 00:03:54,240 I guess my initial thought was everything goes through your switches. 69 00:03:54,460 --> 00:03:57,960 So if you have a bunch of logging with Cisco switches and they can somehow 70 00:03:58,070 --> 00:04:01,240 integrate Splunk to do a bunch of stuff there. 71 00:04:01,620 --> 00:04:06,080 Or maybe it's just Cisco not wanting to be quite so, 72 00:04:06,790 --> 00:04:10,760 such a narrow pillar. Wanting them to try to diversify a little bit. 73 00:04:10,870 --> 00:04:15,040 Like arguably I'm not in the Cisco and Splunk space every day. 74 00:04:15,150 --> 00:04:17,400 Like you I sit in the Microsoft one. 75 00:04:17,540 --> 00:04:22,160 So it was just an interesting acquisition for me of why 76 00:04:22,680 --> 00:04:24,680 I think more than anything else, I think. 77 00:04:24,680 --> 00:04:28,920 It's another good example of consolidation in the marketplace 78 00:04:29,300 --> 00:04:33,960 around tighter integrations for hardware and software. 79 00:04:34,700 --> 00:04:37,880 So Cisco has kind of its software stack, right? 80 00:04:37,910 --> 00:04:42,360 Like you have the other iOS that runs on Cisco switches and routers and things 81 00:04:42,360 --> 00:04:45,320 like that, but they really didn't have the 82 00:04:46,880 --> 00:04:51,040 software story that Splunk has. So now you marry those two together, 83 00:04:51,380 --> 00:04:55,400 let 'em marinate a little bit and see what comes out the other side. 84 00:04:56,020 --> 00:05:00,160 That's a probably goodness thing for customers. Who knows? 85 00:05:00,170 --> 00:05:05,000 We'll see licensing and all that stuff tends to change as these types 86 00:05:05,000 --> 00:05:08,240 of things execute and go all the way through. But yeah, 87 00:05:08,480 --> 00:05:12,680 I think it just speaks to that further consolidation that you see 88 00:05:13,660 --> 00:05:18,520 across the technology space where kind of key players that are 89 00:05:18,680 --> 00:05:21,760 entrenched in, in one area only software only hardware, 90 00:05:22,190 --> 00:05:26,560 they do see these kind of natural synergies by coming together 91 00:05:27,260 --> 00:05:32,040 and building potentially more holistic products. And, 92 00:05:32,040 --> 00:05:33,840 and you see it across tech right there. 93 00:05:33,840 --> 00:05:36,440 There's certainly the apples of the world. You know, 94 00:05:36,440 --> 00:05:38,440 we could talk about like Microsoft doing it, 95 00:05:38,440 --> 00:05:41,920 like to the degree they do with hardware that you've got things like this. 96 00:05:42,180 --> 00:05:45,200 You even see it in like cars, Tesla, rivian, 97 00:05:45,200 --> 00:05:49,640 like electric car manufacturers kind of trying to own this entire stack and, 98 00:05:49,700 --> 00:05:53,680 and have it go and, and end to end and get it all together. 99 00:05:53,780 --> 00:05:57,520 So I think this one will be kind of cool, you know, Splunk's all over the place. 100 00:05:57,850 --> 00:06:02,080 While I don't touch it day to day, I run into customers every single day. 101 00:06:02,360 --> 00:06:06,400 who use it and ask for like an integration that doesn't exist. . 102 00:06:06,670 --> 00:06:10,320 Exactly. You know, trying to get them going and get all that stuff going. 103 00:06:10,360 --> 00:06:13,320 I I I think it'll be all very good. So it, 104 00:06:13,380 --> 00:06:17,880 it not only gives Cisco like a solid software play 105 00:06:18,300 --> 00:06:21,680 and really into that like threat detection observability market, 106 00:06:22,260 --> 00:06:25,880 it also gives them an interesting inroad to 107 00:06:27,170 --> 00:06:28,360 cloud providers, right? 108 00:06:28,360 --> 00:06:33,120 Think about like a W S and G C P like and having sync points and 109 00:06:33,440 --> 00:06:38,320 Splunk to multiple offerings within, you know, 110 00:06:38,320 --> 00:06:40,240 the hyperscalers and public cloud. 111 00:06:40,860 --> 00:06:45,720 It starts to become kind of an interesting play and potentially exposes Cisco 112 00:06:45,860 --> 00:06:48,040 to new customers as well. Yeah, 113 00:06:48,170 --> 00:06:51,920 we'll see 28 billion is a fair chunk of change. 114 00:06:52,440 --> 00:06:56,400 I thought it was also interesting that they expected to be cashflow positive by 115 00:06:56,400 --> 00:06:59,960 the end of their first fiscal year after they close. 116 00:07:00,420 --> 00:07:05,080 So even though they're gonna spend it like they think they're gonna make it all 117 00:07:05,080 --> 00:07:06,600 back rapidly. I. 118 00:07:06,600 --> 00:07:11,080 Agree. And oh I can't quite, ooh, let's do this. So I'm curious Scott, 119 00:07:11,080 --> 00:07:13,960 this is the other thing. You know what else speaks to, 120 00:07:14,620 --> 00:07:16,920 oh they didn't put it in there quite as much as I thought they did. 121 00:07:17,150 --> 00:07:20,200 It's also interesting that speaking to the world we're in today, 122 00:07:20,260 --> 00:07:25,080 how many times they mention that this is mention AI 123 00:07:25,080 --> 00:07:25,830 in the article, 124 00:07:25,830 --> 00:07:30,240 lead in security and observability in the age of AI to establish leaders in ai, 125 00:07:30,240 --> 00:07:34,880 which I don't know that I ever thought of Cisco as an established leader in 126 00:07:35,420 --> 00:07:35,980 ai. 127 00:07:35,980 --> 00:07:40,400 AI enabled security and observability data and AI to deliver customer outcomes. 128 00:07:40,870 --> 00:07:45,440 They certainly don't make GPUs . That is not something that's happening. 129 00:07:45,700 --> 00:07:47,040 But what they do have is data. 130 00:07:47,620 --> 00:07:52,080 And by buying Splunk they get a lot more data. 131 00:07:52,780 --> 00:07:57,400 And as we've seen with things like large language models, LLMs, 132 00:07:58,260 --> 00:08:00,400 you know, open ai, all that kind of stuff, 133 00:08:00,740 --> 00:08:03,120 the more data you have and the larger the corpus, 134 00:08:03,420 --> 00:08:08,240 the potential is there to do more interesting 135 00:08:08,240 --> 00:08:11,320 things with it. And it really, if you, 136 00:08:11,320 --> 00:08:14,680 if you go and read between the lines on this one, like that's what this one is. 137 00:08:14,830 --> 00:08:19,080 Like there is potential there get things going. Yes. 138 00:08:19,380 --> 00:08:20,840 It is interesting. 139 00:08:21,220 --> 00:08:25,720 So other than that it just doesn't impact the Microsoft cloud a whole lot unless 140 00:08:25,790 --> 00:08:29,360 like you said there are plenty of people running stuff in Microsoft that are 141 00:08:29,360 --> 00:08:34,160 using Splunk for their sim. Everybody tells me it's SIM in the us, 142 00:08:34,170 --> 00:08:36,880 Scott and SI in other countries. I still don't know . 143 00:08:37,000 --> 00:08:38,880 I was talking to somebody else the other day that's like it's sim, 144 00:08:38,880 --> 00:08:40,360 it's always been sim I've never heard si. 145 00:08:40,540 --> 00:08:44,360 But then a bunch of other people say si whatever it is people, 146 00:08:44,820 --> 00:08:48,880 yes people running Microsoft stuff that do run Splunk instead of Sentinel. 147 00:08:49,200 --> 00:08:50,920 Although I have been running into Sentinel more and more. 148 00:08:51,020 --> 00:08:53,880 Is that what it is? It's a US versus Europe thing. Yeah. 149 00:08:53,880 --> 00:08:56,150 Maybe it's a pronunciation of the vowels. 150 00:08:56,310 --> 00:09:01,160 Yeah. The first time I encountered Sentinel I was doing training over in Europe. 151 00:09:01,720 --> 00:09:02,553 . Got it. 152 00:09:02,640 --> 00:09:03,560 I learned it as seam. 153 00:09:04,020 --> 00:09:08,080 So that explains a whole bunch and yeah. 154 00:09:08,080 --> 00:09:10,520 There you go. That is the best explanation I have. 155 00:09:10,670 --> 00:09:15,280 Well the only explanation I have ever gotten on whether it's a SI versus a sim, 156 00:09:15,660 --> 00:09:17,160 is well country-based. 157 00:09:17,350 --> 00:09:19,600 They spent some money. They did, they did some things. 158 00:09:20,180 --> 00:09:22,040 You know what else you can do here. 159 00:09:22,040 --> 00:09:26,080 Here's a good pivot for you if you're ready to spend money in other areas. 160 00:09:26,540 --> 00:09:29,200 Ooh and maybe not on Cisco and Splunk. 161 00:09:29,480 --> 00:09:30,840 I like spending money. Yeah. 162 00:09:30,840 --> 00:09:31,040 Do. 163 00:09:31,040 --> 00:09:31,300 You? 164 00:09:31,300 --> 00:09:31,740 No, 165 00:09:31,740 --> 00:09:36,360 we were chatting kind of before we started recording but we have a rapid private 166 00:09:36,390 --> 00:09:41,040 preview to GA for copilot in 167 00:09:41,440 --> 00:09:42,600 Microsoft 365. 168 00:09:43,340 --> 00:09:44,840 Yes, this was, 169 00:09:45,740 --> 00:09:50,640 it kind of came out of the blue and we had some theories about how 170 00:09:50,800 --> 00:09:55,040 it kinda came out of the blue but the other day, right what day was this one? 171 00:09:55,320 --> 00:09:57,320 September 21. Same day as Cisco was announced, 172 00:09:57,720 --> 00:10:01,800 there was an event in New York where Microsoft announced their vision 173 00:10:02,060 --> 00:10:03,560 for copilot. 174 00:10:03,660 --> 00:10:08,560 So we finally now have a release of 175 00:10:09,200 --> 00:10:11,200 co-pilot or release date. 176 00:10:11,940 --> 00:10:16,640 So they said first step they're unveiling a new visual identity, a k a, 177 00:10:16,940 --> 00:10:21,880 an icon for co-pilot and we're gonna start seeing that 178 00:10:22,150 --> 00:10:26,920 icon roll out across co-pilots that are already there because there are some 179 00:10:26,950 --> 00:10:31,400 co-pilots already there, right? Like Power Apps already has some co-pilot stuff. 180 00:10:31,720 --> 00:10:32,920 Dynamics. Dynamics. 181 00:10:32,920 --> 00:10:33,753 They're, they're all. 182 00:10:33,820 --> 00:10:35,000 Out there and playing around. 183 00:10:35,260 --> 00:10:38,200 But then the Microsoft 365 co-pilot, 184 00:10:38,250 --> 00:10:41,720 which is the one that everybody seems to be waiting for until they found out 185 00:10:41,720 --> 00:10:43,920 they had to spend $30 per user per month on it, 186 00:10:44,180 --> 00:10:48,800 is going to be generally available for enterprise customers 187 00:10:49,020 --> 00:10:52,160 on November one. So this does not appear, 188 00:10:52,340 --> 00:10:54,440 and I have not found it anywhere in this article, 189 00:10:55,070 --> 00:10:59,800 that there is going to be any sort of public preview of co-pilot. 190 00:10:59,820 --> 00:11:03,000 It is going immediately from that private preview, like you said, 191 00:11:04,080 --> 00:11:08,680 straight into general availability on the 192 00:11:08,680 --> 00:11:10,280 1st of November. 193 00:11:10,500 --> 00:11:13,840 So you have like five or six weeks to wait Scott, 194 00:11:14,180 --> 00:11:16,840 and you can get copilot if your company will pay for it. 195 00:11:17,230 --> 00:11:18,760 It's interesting for this one, 196 00:11:18,760 --> 00:11:23,720 if you look at how it's being integrated and rolling 197 00:11:23,860 --> 00:11:28,240 out how they're using copilot in Windows as a 198 00:11:28,390 --> 00:11:33,000 potential loss leader to build you into things like 199 00:11:33,270 --> 00:11:38,000 binging chat and the enterprise variations of it and then everything else 200 00:11:38,150 --> 00:11:42,920 that comes along the way with M 365 copilot 201 00:11:42,920 --> 00:11:47,600 integration with teams, integration with all the M 365 apps, you know, 202 00:11:47,620 --> 00:11:52,440 the better, better together kind of security story around like security, 203 00:11:52,570 --> 00:11:57,400 compliance, all that kind of stuff. But , 204 00:11:57,710 --> 00:11:59,960 yeah, copilot and Windows is a little, 205 00:12:00,440 --> 00:12:03,160 a little trippy and in your face if you have a chance, 206 00:12:03,160 --> 00:12:06,200 like I'd encourage anybody who didn't see the event, 207 00:12:06,420 --> 00:12:10,480 it was kind of this weird mixed hardware and software 208 00:12:11,450 --> 00:12:15,640 event kind of thing that happened in New York around surface devices and then 209 00:12:15,640 --> 00:12:20,360 all these copilot announcements and all those kinds of things that 210 00:12:20,430 --> 00:12:24,560 came along. So yeah, it does give you a sense for where it's integrating, 211 00:12:24,560 --> 00:12:25,480 where it's rolling into Windows, 212 00:12:26,140 --> 00:12:30,840 how it's going to start to look and kind of manifest across office 213 00:12:30,910 --> 00:12:34,160 apps and things like that, which we've seen in the past. 214 00:12:34,940 --> 00:12:38,360 And then they had another interesting one that they announced, 215 00:12:38,810 --> 00:12:42,160 which I think this is nothing but goodness, I don't know how, 216 00:12:42,260 --> 00:12:47,200 how you found learning how to treat LLMs or how 217 00:12:47,200 --> 00:12:51,840 to kind of give them better prompts so that they give you your desired output 218 00:12:51,840 --> 00:12:52,720 and all those kinds of things. 219 00:12:53,300 --> 00:12:57,760 It turns out that getting an L L M to give you a desirable output 220 00:12:58,140 --> 00:13:00,040 is you know, 221 00:13:00,040 --> 00:13:03,080 a little bit harder than going in and just asking a question and firing and 222 00:13:03,080 --> 00:13:07,240 forgetting and seeing what happens. So they also announced co-pilot labs, 223 00:13:07,730 --> 00:13:12,000 which is gonna be a web-based experience to get 224 00:13:12,320 --> 00:13:16,280 hands-on with particularly M 365 copilot, 225 00:13:16,280 --> 00:13:20,880 which I get the sense like it's actually like gonna need some kind of poking and 226 00:13:20,880 --> 00:13:24,560 prodding given the fixed meta prompt and maybe if you wanted to go in a slightly 227 00:13:24,560 --> 00:13:27,120 different direction, things like that along the way. 228 00:13:27,580 --> 00:13:32,320 So they're also gonna be actively training users around copilots. 229 00:13:32,640 --> 00:13:36,880 I think that'll be interesting to see how many folks feel like they've all of a 230 00:13:36,880 --> 00:13:40,720 sudden had to become programmers and get away from some of their, 231 00:13:40,790 --> 00:13:45,160 some of their other stuff that's out there and available. 232 00:13:45,780 --> 00:13:50,520 So maybe with a little bit of lab time and getting hands on across the 233 00:13:50,520 --> 00:13:51,353 product stack, 234 00:13:51,830 --> 00:13:56,800 that stuff starts to manifest and light up and we can 235 00:13:56,800 --> 00:13:57,633 all see what it does. 236 00:14:01,100 --> 00:14:05,080 Do you feel overwhelmed by trying to manage your Office 365 environment? 237 00:14:05,220 --> 00:14:08,840 Are you facing unexpected issues that disrupt your company's productivity? 238 00:14:08,870 --> 00:14:12,840 Intelligent is here to help much like you take your car to the mechanic that has 239 00:14:12,840 --> 00:14:17,080 specialized knowledge on how to best keep your car running Intelligent helps you 240 00:14:17,080 --> 00:14:20,160 with your Microsoft Cloud environment because that's their expertise. 241 00:14:20,390 --> 00:14:24,560 Intelligent keeps up with the latest updates on the Microsoft Cloud to help keep 242 00:14:24,560 --> 00:14:26,920 your business running smoothly and ahead of the curve. 243 00:14:26,990 --> 00:14:31,320 Whether you are a small organization with just a few users up to an organization 244 00:14:31,320 --> 00:14:35,400 of several thousand employees they want to partner with you to implement and 245 00:14:35,400 --> 00:14:37,840 administer your Microsoft Cloud technology, 246 00:14:38,530 --> 00:14:42,040 visit them at intelligent.com/podcast. 247 00:14:42,540 --> 00:14:46,960 That's I N T E L L I G I N 248 00:14:47,040 --> 00:14:52,040 k.com/podcast for more information or to schedule a 30 minute 249 00:14:52,040 --> 00:14:53,680 call to get started with them today. 250 00:14:54,480 --> 00:14:58,680 Remember intelligent focuses on the Microsoft cloud so you can focus on your 251 00:14:58,960 --> 00:14:59,793 business. 252 00:15:01,680 --> 00:15:06,320 I will be interested to play with that 'cause it is like the whole meta prompts 253 00:15:06,320 --> 00:15:10,120 and all of that is still something I've been learning about playing with and by 254 00:15:10,120 --> 00:15:11,240 no means an expert in. 255 00:15:11,260 --> 00:15:14,240 But that is definitely I think the biggest learning curve. 256 00:15:14,240 --> 00:15:17,120 People think co-pilot's gonna come out. AI is here, 257 00:15:17,140 --> 00:15:18,640 you can just start asking it questions, 258 00:15:18,650 --> 00:15:23,040 which to some extent you'll be able to like Outlook is gonna have 259 00:15:24,080 --> 00:15:28,400 summarize an email thread for me or you're gonna be able to ask co-pilot to 260 00:15:29,480 --> 00:15:30,360 rewrite a paragraph. 261 00:15:30,500 --> 00:15:34,920 But then you're gonna have to think through how do you want it to rewrite it? 262 00:15:35,270 --> 00:15:38,280 What type of verse voice do you want? Do you want it neutral, casual, 263 00:15:38,360 --> 00:15:39,193 professional. 264 00:15:39,860 --> 00:15:44,800 So I think it's gonna v vary too and and then like there will be basic things 265 00:15:44,800 --> 00:15:47,320 you'll be able to do but I think to really take advantage of it, 266 00:15:47,320 --> 00:15:52,000 there is definitely going to be a learning component of how do you 267 00:15:52,110 --> 00:15:56,440 tell AI to actually do what you want it to. 268 00:15:56,630 --> 00:15:59,880 I've got a little tip for you just 'cause you mentioned the tone thing. Yep. 269 00:16:00,120 --> 00:16:04,920 I found tone to be very interesting with all the kind of variations of 270 00:16:04,920 --> 00:16:06,240 models that are out there. 271 00:16:06,740 --> 00:16:10,120 And I think it's one of the complaints that folks have when they see these 272 00:16:10,120 --> 00:16:12,280 models in their outputs is they look at 'em and they go, 273 00:16:12,300 --> 00:16:16,520 oh well that sounds kind of generic or it sounds a little bit like a machine or 274 00:16:16,520 --> 00:16:18,720 it reads like a machine wrote it kind of thing. 275 00:16:19,300 --> 00:16:23,720 So a trick that I've been playing around with, I saw it on a YouTube video, 276 00:16:24,300 --> 00:16:29,120 is setting tone by providing examples of your own writing 277 00:16:29,660 --> 00:16:33,440 and then having them generated like with that style. 278 00:16:33,740 --> 00:16:38,040 So are you familiar with how you can use variables inside of 279 00:16:38,420 --> 00:16:40,560 OpenAI and Chat G P T? 280 00:16:40,660 --> 00:16:44,600 Oh I have not done anything with variables yet. See I'm still learning. 281 00:16:44,900 --> 00:16:46,160 You can have a variable. 282 00:16:46,500 --> 00:16:50,280 So say I wanted to create a variable like for like my writing style. 283 00:16:50,780 --> 00:16:52,720 So I tell the engine, 284 00:16:52,940 --> 00:16:57,200 Hey I want you to store some data about the way that I write 285 00:16:57,980 --> 00:17:02,520 inside the variable, you know Scott underscore writing style. 286 00:17:02,710 --> 00:17:04,080 Okay, whatever it happens to be. 287 00:17:04,420 --> 00:17:07,400 And then you say I'm gonna provide you some examples and then you just say, 288 00:17:07,400 --> 00:17:09,480 okay, example one of Scott's writing style and, 289 00:17:09,480 --> 00:17:13,080 and the way I've been doing it is just copying and pasting blog posts that I 290 00:17:13,080 --> 00:17:16,600 have out there or kind of longer form form posts that I've had that I think 291 00:17:16,670 --> 00:17:21,560 capture my writing style and conversational style and putting those 292 00:17:21,560 --> 00:17:23,360 in and you say okay, store these in, 293 00:17:23,380 --> 00:17:26,800 you know that variable like Scott writing under style. 294 00:17:27,260 --> 00:17:31,040 And then once you're done with that and it's got it stored and it understands, 295 00:17:31,040 --> 00:17:31,880 you go back and you say, 296 00:17:31,880 --> 00:17:36,880 okay now I want you to do whatever the work is that I want you to do but I want 297 00:17:36,880 --> 00:17:41,800 you to respond using the style that was stored in 298 00:17:41,800 --> 00:17:46,360 the previous variable Scott writing style and then it spits back something that 299 00:17:46,360 --> 00:17:49,580 like I'm finding needs a little bit less editing. Okay. 300 00:17:49,670 --> 00:17:52,600 Both in chat G P D 3.5, 301 00:17:52,780 --> 00:17:57,680 the the three five turbo and in the 4.0 although I see I I 302 00:17:57,680 --> 00:18:01,200 find myself still sticking to three five Turbo these days as well. 303 00:18:01,380 --> 00:18:05,440 I'm not seeing a lot of additive benefit to being on 4.0 yet. 304 00:18:05,660 --> 00:18:08,080 But we'll see. I think it's a cool thing. 305 00:18:08,080 --> 00:18:10,920 So you should go explore variables if you haven't done that. 306 00:18:10,920 --> 00:18:14,520 Like if you've been working on prompts and conversational styles and and 307 00:18:14,800 --> 00:18:16,160 tonality and things like that. 308 00:18:16,240 --> 00:18:20,520 Particularly for you 'cause and maybe for folks who listen to this like if you 309 00:18:20,520 --> 00:18:23,480 ever write like papers, anything like that internally, 310 00:18:23,510 --> 00:18:28,240 like something that you can provide to the language model to help it understand 311 00:18:28,390 --> 00:18:32,080 like your style it's a little bit better and nothing but goodness. 312 00:18:32,380 --> 00:18:35,440 I'm curious when you've been using the different models like the three five, 313 00:18:35,460 --> 00:18:38,080 the three five turbo, the four, what have you been using it for? 314 00:18:38,100 --> 00:18:42,680 Has it been for summarizing stuff or for generating like net new 315 00:18:43,570 --> 00:18:48,520 ideas or rewriting stuff? When do you use those models? 316 00:18:48,950 --> 00:18:50,600 Lots of summarization. Okay. 317 00:18:50,660 --> 00:18:55,640 And I think that's probably gonna be the place that I use uh, co-pilot. 318 00:18:55,640 --> 00:18:56,200 Like should they. 319 00:18:56,200 --> 00:18:57,600 Like the co-pilot a lot broadly. 320 00:18:57,630 --> 00:19:00,760 Roll it out and make it available to everyone at Microsoft. 321 00:19:00,840 --> 00:19:03,120 I think that's the place that I would use it the most. 322 00:19:03,440 --> 00:19:08,160 Particularly in my world where I spend a lot of time in email 323 00:19:08,350 --> 00:19:13,280 Word and teams often talking about and working towards the same kinds 324 00:19:13,280 --> 00:19:14,110 of things. 325 00:19:14,110 --> 00:19:18,360 Like for me I think it'll be super powerful to have like a meeting summarization 326 00:19:18,550 --> 00:19:23,360 that also incorporates like the document we were discussing 327 00:19:23,380 --> 00:19:26,040 as an input to be able to you know, 328 00:19:26,060 --> 00:19:30,600 get to whatever output that I'm, I'm kind of looking for along the way. 329 00:19:30,660 --> 00:19:32,960 But Summarizations are a great place. 330 00:19:33,160 --> 00:19:36,640 I don't like using them for answers to questions. Like I'm really, 331 00:19:36,640 --> 00:19:38,600 really super scared of the hallucination, 332 00:19:39,000 --> 00:19:42,400 hallucination kind of thing and getting that going. 333 00:19:42,620 --> 00:19:43,453 So that's been all good. 334 00:19:43,540 --> 00:19:48,120 And then the other place I use it a lot is on the 335 00:19:49,440 --> 00:19:50,280 reference side of things, 336 00:19:50,480 --> 00:19:55,440 particularly when it comes to like syntax and not coding but 337 00:19:55,440 --> 00:19:56,440 like day-to-day kinds of things. 338 00:19:56,460 --> 00:20:01,360 So PowerShell use it a lot for K Q L and I have 339 00:20:01,400 --> 00:20:05,120 a feeling I'm gonna use it a whole bunch in Excel as well. 340 00:20:05,310 --> 00:20:08,520 Like once that rolls out a little bit more but we shall see. 341 00:20:08,700 --> 00:20:09,020 Got it. 342 00:20:09,020 --> 00:20:13,920 So I was curious 'cause I heard the 4.0 model and I've used four G P t four 343 00:20:14,020 --> 00:20:19,000 for summarizing like podcast transcripts that four tends to do a little bit 344 00:20:19,000 --> 00:20:23,080 better with a summarization of that type of content. 345 00:20:23,580 --> 00:20:27,920 But I haven't done enough of 'em yet where I've sat down and actually compared 346 00:20:28,540 --> 00:20:30,960 to see what I like better. But I'm with you, 347 00:20:31,260 --> 00:20:33,000 I'm probably gonna use it for a lot of summarization. 348 00:20:33,360 --> 00:20:37,000 I have used it to ask questions for it but like you, 349 00:20:37,140 --> 00:20:39,680 I'm very worried about hallucinations. 350 00:20:40,220 --> 00:20:44,800 So when I am asking for answers I tend to use 351 00:20:45,780 --> 00:20:50,000 the binging chat for Enterprise because 352 00:20:50,660 --> 00:20:54,120 not only does it give me an answer but then it provides my references. 353 00:20:54,260 --> 00:20:59,120 So I treat that as a little bit of summarize your search results for me 354 00:20:59,300 --> 00:21:03,680 is how I look at binging chat for Enterprise or Bing Chat is summarize 355 00:21:04,100 --> 00:21:06,960 the answer to my question from what you know and what you can find online. 356 00:21:07,380 --> 00:21:09,000 But since it provides my references, 357 00:21:09,320 --> 00:21:13,080 I still always go back and check the references it provided to make sure it 358 00:21:13,080 --> 00:21:16,680 didn't misinterpret things or I've seen where it pulls from like two or three 359 00:21:16,680 --> 00:21:20,720 sources and get some kind of mixed up and comes with an answer based on those 360 00:21:20,770 --> 00:21:24,920 three. But it like it combined to them very poorly. 361 00:21:24,930 --> 00:21:29,400 Kinda like a kid misinterprets what their parents says or alters a word or two. 362 00:21:29,600 --> 00:21:34,320 I have seen Binging Chat do something similar so when I do ask questions I do it 363 00:21:34,320 --> 00:21:38,840 someplace where I can actually go verify the references and 364 00:21:39,680 --> 00:21:42,200 leverage it a little bit more as a summarization of a search. 365 00:21:42,680 --> 00:21:46,080 I mean I'd be interested to know like this is another feedback thing that I'd 366 00:21:46,080 --> 00:21:47,720 love to hear from folks out there. 367 00:21:47,790 --> 00:21:51,960 Just like where are you using it to use it in similar ways or are you finding 368 00:21:52,090 --> 00:21:56,920 power in the whole G P T four and the ability to have 369 00:21:56,950 --> 00:21:58,720 plugins in use and all that kind of thing. 370 00:21:58,720 --> 00:22:02,560 Like I'm really not using any of that stuff today either. 371 00:22:03,140 --> 00:22:07,880 So it'd be I think interesting to hear some learnings from other folks. 372 00:22:08,460 --> 00:22:11,520 Oh while we're talking about the AI thing here. Okay. 373 00:22:11,800 --> 00:22:15,480 I think it's important to kind of touch on, you know, 374 00:22:15,480 --> 00:22:20,480 the way that it sounds like you're using chat G P T and I'm using it the 375 00:22:20,480 --> 00:22:21,300 same way. 376 00:22:21,300 --> 00:22:26,200 I'm certainly using it to augment and potentially make things 377 00:22:26,440 --> 00:22:28,560 a little bit easier and I say potentially, 378 00:22:28,800 --> 00:22:32,640 'cause again you gotta go and learn this whole kind of meta prompt model and and 379 00:22:32,640 --> 00:22:36,360 figure out how to do prompts and it's almost like learning a new programming 380 00:22:36,600 --> 00:22:39,600 language like or picking up a new skill. Like it it, 381 00:22:39,700 --> 00:22:44,000 it is taking a little bit to like wrap my head around and and be consistent 382 00:22:44,000 --> 00:22:44,540 with. 383 00:22:44,540 --> 00:22:49,520 But if you go and watch the event from the Surface and AI 384 00:22:49,520 --> 00:22:54,160 event, one of the interesting things of it is the tone. Like a, 385 00:22:54,160 --> 00:22:56,720 if you remember when LLMs came out, 386 00:22:56,840 --> 00:23:01,760 everybody was talking about how there's the potential for these things to take 387 00:23:01,790 --> 00:23:02,760 jobs away. Yep. 388 00:23:02,940 --> 00:23:07,880 And not really be like augmenters like over time like oh if I can teach an 389 00:23:07,920 --> 00:23:11,080 l l M to do this thing then maybe I can, you know, 390 00:23:11,080 --> 00:23:14,480 replace that person who's sitting at a desk, a frontline worker call center, 391 00:23:14,480 --> 00:23:15,313 things like that. 392 00:23:15,880 --> 00:23:19,040 I think they're like everybody's trying to walk that back a little bit. 393 00:23:19,060 --> 00:23:22,280 If you go listen to the tone and go read some of the blog posts and things, 394 00:23:22,530 --> 00:23:27,480 everything is about helping you do your work now and being 395 00:23:27,480 --> 00:23:31,040 very like crystal clear that this isn't replacing your job, 396 00:23:31,670 --> 00:23:35,520 it's making your job better, faster, stronger. 397 00:23:36,140 --> 00:23:38,040 And you shouldn't worry so much about, 398 00:23:38,100 --> 00:23:43,040 oh a computer is gonna step in one day and magically take your place kind of 399 00:23:43,040 --> 00:23:47,040 thing. Which I thought that was a kind of nifty pivot, right. 400 00:23:47,040 --> 00:23:51,800 Just to hear everybody actually say it out loud and and kind of commit words to 401 00:23:51,990 --> 00:23:54,240 blog posts and and paper and things like that, 402 00:23:54,910 --> 00:23:59,400 that LLMs are here but yeah they're not gonna take your jobs. I. 403 00:23:59,640 --> 00:24:02,440 Absolutely agree with that tone and watching some of the videos and listening to 404 00:24:02,440 --> 00:24:05,760 some of the interview questions and how they talked through it about even having 405 00:24:06,580 --> 00:24:08,400 AI and meetings and all of that. 406 00:24:08,510 --> 00:24:12,920 It's absolutely help you do your job better like in a meeting, 407 00:24:13,170 --> 00:24:17,440 focus on the meeting and let AI take care of the notes and the summarization and 408 00:24:17,790 --> 00:24:21,920 some of that stuff that before like, and I know I do it in a meeting, 409 00:24:21,920 --> 00:24:24,400 you're trying to say you're trying to listen, you're trying to ask questions, 410 00:24:24,400 --> 00:24:29,000 you're trying to take notes at the same time where letting that AI help you 411 00:24:29,300 --> 00:24:32,240 do that note taking process, do the transcriptions, all of that. 412 00:24:32,750 --> 00:24:36,520 That type of tone seemed to be like you said a lot of the focus on this. 413 00:24:36,860 --> 00:24:38,000 So the other interesting thing, 414 00:24:38,400 --> 00:24:42,600 pivoting a little bit was all of this came out of 415 00:24:43,380 --> 00:24:48,360 the surface event and I had kind of seen that a surface event was 416 00:24:48,360 --> 00:24:51,640 happening and then all of a sudden this copilot stuff came out the other day and 417 00:24:51,770 --> 00:24:54,720 there was one headline that said an AI event and I was like I didn't see 418 00:24:54,800 --> 00:24:58,240 anything about an AI event and it was the surface event. 419 00:24:58,380 --> 00:25:03,160 So there we got new surface devices but I don't believe 420 00:25:03,980 --> 00:25:08,880 the man behind the surface was actually there for this event. 421 00:25:09,020 --> 00:25:12,400 So it was, we were talking a little bit about it's Panos, right? 422 00:25:12,400 --> 00:25:13,640 That's how you say his first name. Mm-hmm . 423 00:25:13,970 --> 00:25:18,800 Panos Penne is leaving Microsoft after 19 424 00:25:18,800 --> 00:25:19,300 years, 425 00:25:19,300 --> 00:25:23,440 the guy behind a whole bunch of the surface and Windows 11 and all of that. 426 00:25:24,150 --> 00:25:29,080 Like literally left days before or announced it like days before this surface 427 00:25:29,130 --> 00:25:31,560 event that happened yesterday the 21st. 428 00:25:31,860 --> 00:25:35,560 He is going to Amazon and all of a sudden this seemed to be a lot bigger focus 429 00:25:35,560 --> 00:25:37,240 on co-pilot, less on Surface. 430 00:25:37,540 --> 00:25:41,680 But we do have some more surface devices too. No duo, 431 00:25:42,010 --> 00:25:44,000 sorry Scott. No more Surface Duo but. 432 00:25:44,320 --> 00:25:48,600 I don't think you're ever gonna see another one of those. Uh, who knows. 433 00:25:49,000 --> 00:25:51,640 I hope they just quit trying to do phones. I'm tired of this. 434 00:25:51,640 --> 00:25:56,440 Let's do a phone like Nokia's then Windows phone and let's not, no, 435 00:25:56,890 --> 00:25:59,880 let's do a phone with Surface Duo and no let's not. 436 00:26:00,340 --> 00:26:04,680 But there was a new Surface Hub which 437 00:26:05,190 --> 00:26:09,280 that one actually surprised me a little bit too because I'm sure you have a 438 00:26:09,280 --> 00:26:14,200 bunch of 'em at Microsoft but I do not see surface hubs in the wild 439 00:26:14,230 --> 00:26:15,040 that much. 440 00:26:15,040 --> 00:26:17,600 I don't go into an office , I'm a you don't, 441 00:26:17,700 --> 00:26:20,840 I'm a remote employee so , I don't When. 442 00:26:20,840 --> 00:26:22,280 Are you gonna start going into the office Scott? 443 00:26:22,480 --> 00:26:23,880 I don't see them either. You don't see. 444 00:26:23,880 --> 00:26:24,560 Them either. 445 00:26:24,560 --> 00:26:25,520 I do not but. 446 00:26:25,520 --> 00:26:28,680 We did get like a new Surface go and a new Surface Pro. 447 00:26:29,740 --> 00:26:31,760 And what else was there? 448 00:26:31,760 --> 00:26:36,400 Was there a new Surface laptop Surface Pro 10 Surface go Surface 449 00:26:36,860 --> 00:26:40,560 laptop Surface Studio and the new Surface Hub. 450 00:26:40,820 --> 00:26:43,960 So if you're a Surface person, I am not as, 451 00:26:43,980 --> 00:26:47,520 I'm sure everybody that listens regularly is well aware you have some new 452 00:26:47,520 --> 00:26:49,520 surface devices to go spend your money on as well. 453 00:26:49,760 --> 00:26:52,400 I lost your link with this announcement. I don't know, 454 00:26:52,460 --> 00:26:57,200 did I overwrite it with a search I had? Well you had a link. You sent me a link. 455 00:26:57,340 --> 00:26:58,520 Now it's gone. I. 456 00:26:58,520 --> 00:26:59,840 Will put it back. 457 00:27:00,090 --> 00:27:01,960 We'll put one in the show notes, show. 458 00:27:01,960 --> 00:27:02,580 Notes for you. 459 00:27:02,580 --> 00:27:03,680 And the Discord chat. 460 00:27:03,940 --> 00:27:05,800 And over to Discord. 461 00:27:06,300 --> 00:27:10,320 One more for you before we kind of move off surface and AI stuff. 462 00:27:10,700 --> 00:27:11,533 Oh okay. 463 00:27:11,580 --> 00:27:15,600 And just on the topic of kind of like LLMs and, and what's going on there, 464 00:27:15,630 --> 00:27:20,520 there's this super good podcast from today explained 465 00:27:21,090 --> 00:27:24,480 folks at the New York Times and it's titled, 466 00:27:24,660 --> 00:27:27,080 we Don't Know How AI Works . 467 00:27:27,510 --> 00:27:31,240 This has been one of the things that's kind of niggling in the back of my head 468 00:27:32,060 --> 00:27:36,640 is we've got these LLMs but like do we actually understand like 469 00:27:37,160 --> 00:27:41,360 holistically and end-to-end end how they generate 470 00:27:42,050 --> 00:27:43,600 their outputs? 471 00:27:44,180 --> 00:27:47,640 Are they doing truly like formulaic responses? 472 00:27:48,340 --> 00:27:53,000 Are they just going off the deep ends and hallucinating and and all the, 473 00:27:53,000 --> 00:27:53,680 all those kinds of things. 474 00:27:53,680 --> 00:27:57,560 So I recommend everyone go and and listen to that . 475 00:27:57,720 --> 00:28:00,320 I thought it was kind of scary eye-opening, 476 00:28:00,900 --> 00:28:03,960 all those kinds of things for where this stuff is headed. 477 00:28:04,280 --> 00:28:08,000 I will have to go listen to that one as well 'cause that would be interesting to 478 00:28:08,000 --> 00:28:11,040 listen to that take on. 479 00:28:11,320 --> 00:28:13,280 I guess is it their take the researchers, 480 00:28:13,940 --> 00:28:18,120 do they interview people or is it the New York Times, 481 00:28:18,870 --> 00:28:20,080 like regular podcasters? 482 00:28:20,200 --> 00:28:23,640 I do not listen to today explained on any sort of regular basis. 483 00:28:23,910 --> 00:28:28,560 It's them doing some interviews so it, it's actually a two part thing. 484 00:28:28,660 --> 00:28:32,880 So the first one was we don't know how AI works and the second one was call was 485 00:28:32,880 --> 00:28:35,680 called we're trusting it anyway. So I, 486 00:28:35,800 --> 00:28:39,840 I recommend giving both of those a listen today Explained is 487 00:28:40,700 --> 00:28:44,000 not New York Times, I guess Fox Media, neither here nor there, 488 00:28:44,580 --> 00:28:48,560 but it is, yeah, it kind of walks through, you know, 489 00:28:48,630 --> 00:28:51,320 both sides of the story and gets that stuff going. 490 00:28:51,420 --> 00:28:56,400 So eye-opening especially like if you don't build these things you're just 491 00:28:56,400 --> 00:28:59,440 wondering how they come together, how they work and what all that is. 492 00:28:59,780 --> 00:29:01,720 Sounds good. Oh, 493 00:29:02,400 --> 00:29:07,360 anything else Scott that we want to talk about besides Cisco AI 494 00:29:07,550 --> 00:29:12,320 surface and all of that? I know there's some more news. 495 00:29:12,590 --> 00:29:13,520 There's always. 496 00:29:13,780 --> 00:29:14,613 Always news. 497 00:29:15,330 --> 00:29:16,240 Stuff out there. 498 00:29:16,430 --> 00:29:18,120 That might be a good spot. Yeah, I don't know. Yeah, 499 00:29:18,120 --> 00:29:21,200 you're standing between me and a waterpark right now. Scott . 500 00:29:22,440 --> 00:29:26,240 I, yeah, I'm between you and debugging some power shell and then your vacation. 501 00:29:26,700 --> 00:29:27,110 So. 502 00:29:27,110 --> 00:29:29,960 Yeah, we're not gonna talk about that. You can remind me, 503 00:29:29,970 --> 00:29:34,800 Scott put that on your list to talk about next week because 504 00:29:35,500 --> 00:29:38,920 we can talk about me and my power shell. I made a mistake. All. 505 00:29:38,920 --> 00:29:39,140 Right. 506 00:29:39,140 --> 00:29:41,120 So just f y i next. 507 00:29:41,240 --> 00:29:42,560 Week and PowerShell. 508 00:29:42,660 --> 00:29:46,400 My PowerShell script is still running. Scott, it was not Quick , 509 00:29:47,620 --> 00:29:49,560 we can talk about some PowerShell fun. 510 00:29:50,030 --> 00:29:54,760 Lots of restores from Recycle Bin is not just a quick metadata operation. Yes, 511 00:29:54,780 --> 00:29:57,000 that's neither here nor there. We'll talk about it next week. 512 00:29:57,460 --> 00:30:00,920 Thanks for the time. Alright, sounds good. And enjoy the waterpark. 513 00:30:00,970 --> 00:30:03,680 Thank you, I will do that. Enjoy your weekend and we'll talk to you later. 514 00:30:03,680 --> 00:30:03,980 Thanks. 515 00:30:03,980 --> 00:30:04,813 Ben. 516 00:30:06,500 --> 00:30:10,240 If you enjoyed the podcast, go leave us a five star rating in iTunes. 517 00:30:10,420 --> 00:30:14,640 It helps to get the word out so more it pros can learn about Office 365 and 518 00:30:14,690 --> 00:30:15,523 Azure. 519 00:30:15,780 --> 00:30:19,800 If you have any questions you want us to address on the show or feedback about 520 00:30:19,820 --> 00:30:24,320 the show, feel free to reach out via our website, Twitter, or Facebook. 521 00:30:24,580 --> 00:30:26,640 Thanks again for listening and have a great day.

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Microsoft Cloud IT Pro Podcast

Ben Stegink, Scott Hoag

On the MS Cloud IT Pro Podcast, Scott and Ben discuss the Microsoft Cloud with a focus on IT Pros. They'll discuss the latest in Microsoft 365 and Office 365 News, Azure news and talk about their experiences with managing the Microsoft Cloud as well as interview industry experts on various cloud technology. They'll cover things such as SharePoint, Exchange, Microsoft Teams, PowerShell, Azure, Azure AD, Security, Networking, Storage, and the many other technologies and products that have made their way into the Microsoft 365 suite and Azure. To stay up-to-date on the latest in Microsoft Cloud news and gain some valuable knowledge as you deploy it within your own organization, make sure to tune in every week! Find out more at msclouditpropodcast.com.

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