In this episode of the Backup Wrap-Up, host W. Curtis Preston and co-host Prasanna Malaiyandi explore the topic of data protection in the Internet of Things (IoT) era. With the increasing number of IoT devices in our homes and organizations, it is crucial to understand how to back up and secure the data generated by these devices. They discuss the importance of knowing which devices create important data and where that data is being stored.
They also discuss IBM's release of a 150 terabyte tape, which showcases advancements in data storage capacity, and a TechTarget ESG survey about the use of the cloud in data protection.
Tune in to this informative episode for insights on safeguarding your IoT data.
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I have about 40 IOT devices in my home that generates some kind of data.
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How many IOT devices does your organization have?
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And do you know how many of them create data?
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That's important to you?
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Where is that data being stored.
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And is it being backed up in any way?
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How do you decide which devices to back up?
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How would you back them up?
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Even if you wanted to.
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Uh, this episode's probably going to make you a bit uncomfortable, but I promise you
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we'll give you the best answers we can.
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To these really important questions.
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Hi, I'm Debbie Curtis precedent, AKA Mr.
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Backup.
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And for 30 years, I've had a single passion for helping
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others protect their data from disasters and lately cyber attacks.
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Each episode, my co-hosts and I dive deep into one specific area of data protection.
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This week's episode will be the internet of things.
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Welcome to the backup wrap-up.
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Welcome to the show.
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I'm your host, w Curtis Preston, a k a, Mr.
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Backup.
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And I have with me the guy who makes me sweat way
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too much.
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Prasanna Malaiyandi how's it going?
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Prasanna?
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I am good Curtis.
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Well, remember with sweat you also need to make sure you say, hydrate, which I
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think you are currently doing right now.
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Right.
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Although, I don't know if people will consider that
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does not consider coffee
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hydration.
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I.
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it's a liquid of some sort.
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it is a liquid, but it's a diuretic, which
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I think it means that more water goes out than comes in
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So It's not actually helpful.
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want.
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Yeah.
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but yeah, making me get up at God awful hours of the day to go walking with you,
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even though I don't live in the same town.
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What's that about?
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It's good though.
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It's good though, right?
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Getting out, getting some fresh air, running into spiderwebs,
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you're running into spiderwebs is correct.
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All right.
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it's time to talk about the news the day, backup wise, and I found
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two stories, the first of which I'm so excited to talk about.
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of course you are.
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Of course I am.
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And that is that i b m is releasing 150 terabyte, tape.
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So the TSS 1170, which is the.
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It's the 35 92 form cartridge.
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They've gotten a lot of mileage out of that cartridge, the TSS 1170 has
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50 terabyte of native capacity and 150 terabytes of capacity with compression.
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Now that's interesting.
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That number, again, I've been around tape a long time.
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Typically that number was like two x, right?
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if you look in the L T O world, typically the, you have the native number and
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then you have the compression number.
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And typically the compression number was two x i B M has a
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different compression algorithm.
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They've typically done two and a half x.
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They're now apparently saying that their compression is so
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good, they're getting three x.
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I don't know.
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and the thing I think we should mention for some of our listeners,
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right.
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I'm sure a lot of our listeners have heard of L T O, if you have
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heard about tape, but this is just a different type of format.
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I'd say it, it looks similar in size to an L t O, but it's physically looks you,
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you would definitely, like at a glance.
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Know the difference
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between an L t O and a 35 92, but they, can run in the same tape library.
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In fact, there are mixed media libraries that have both l t
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O and 35 92 media in there.
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I'm sure our friends over at Spectra Logic would be happy to tell you
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about that.
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I'd say it it's an enterprise.
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Class tape drive, that probably beats l t O in a number of numbers, but it
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probably also beats l t O in cost.
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And by beating it in cost, I mean it costs more
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Oh,
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one concern is that i b m is the sole supplier, whereas with L T O
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you have a number
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an open format, right?
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it, right?
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I, I don't know.
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The question is, do you like the, do you like what that tape drive has to offer?
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And are you willing to live with i b M as your sole supplier?
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It's not like they're a company that is liable to go outta
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business anytime soon, but,
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Yeah.
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the other question I was gonna ask you, Curtis, so you said this
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has 150 terabytes of compressed.
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Capacity.
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And that's quite a lot.
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And I know in the article, they mentioned that yes, it is useful
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for like archiving use cases for enterprises, other things like that.
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If we look at the l t o, like the latest and greatest generation,
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how much capacity does that hold?
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Do
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The LT O nine capacity for comparison holds 45 terabytes of compressed capacity.
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So this is
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Wow,
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times the size, more than three times the size of the most recent L t O cartridge.
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yeah,
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That's huge.
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That.
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Yeah, literally
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it's huge.
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Both in the size, you know, and both in the, you know, you know what I'm trying to
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say, in the figurative sense of that word.
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Yeah.
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So it is a very big tape.
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The concern I always have with tape is whether or not we can make it
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happy speed-wise, Tape has a native speed of 400 megabytes per second.
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That is 1.2 gigabytes per second, with compression that, that's that
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wonderful three x compression.
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Compare it again to the l t o nine spec with it's, it goes up to 400
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megabytes per second with compression.
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That is a huge amount of data to feed into the tape.
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And if you don't feed it that speed, it will not be happy.
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It will shoe shine, it will have media errors, it will have all these
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problems.
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That's what I spent my whole career, you know, working with, was try to,
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how to make these tape drives happy.
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the reason why it's bigger.
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Essentially the same form factor is that they put the bits closer
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together on tape by putting the bits closer together on tape.
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And by having a linear format, meaning that the, that the, the bits are
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recorded in a line on the tape, as opposed to helical, which, goes back
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in the time that makes the tape faster.
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So my point is, yes, it's very, very big, but it's also very,
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very fast, and you really need to build that into the Design.
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you need to make sure you have a pipe fast enough
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You've gotta have a big ass pipe.
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You gotta have stuff that I do not think this is something
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designed for backup and recovery.
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it's for archiving, right?
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Like they said.
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Yeah.
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Archiving and
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mass storage.
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Mass storage.
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So anyway, but fun to talk about.
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I'd love to
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have one to
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play with.
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Feel free to send me one
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Well, I was just gonna say tape is not dead.
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Although
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most people would like you to think that, right?
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Exactly.
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There's more tape sold today than ever before.
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People just don't understand that.
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so this next story from TechTarget talks about ai, right?
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And I know AI is everywhere, right?
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You can't go a single day without hearing something about AI this, AI that, right?
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Open AI and everything else, and chat, G P T.
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So AI has now started making its way into data protection and backup software.
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So Cohesity recently added AI to its support portal for backups.
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And it's interesting because I've always thought, what are you gonna use AI for?
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Especially in backups, right?
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It's Hey, I have this job to do, but I could totally see it being used to help
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you because failures happen, right?
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And you need help try to figure out what went wrong and.
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As a backup company, you have all this information.
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Why, as a user, do I have to go like browsing support pages
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or filing a help desk ticket?
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Why can't you just quickly tell me how to solve my problem based on all
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the information you already have?
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I haven't tried this particular, tool, but, I, what it sounds like is they're
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building it into their support tool.
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And so perhaps you could have a.
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Resolution offered to you for your problems.
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Like I have these following errors, I have this particular problem.
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And you could have, if you've got a data lake billed by that, you
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know, with all of the resolutions of the past, they could give you a.
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Potential resolutions to your problem.
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That certainly seems interesting.
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my, my own personal take here, I love that they're trying to
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use, make use of this technology.
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I don't know about you, but when I go to a website and as soon as
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I
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was just gonna say, yeah.
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talking to a chat bot, I'm like, person, person.
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Customer representative
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Customer representative.
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I don't wanna talk to Angie, the chat bot,
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Yep.
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I'm old.
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maybe the youngins, maybe they'll love this idea of talking.
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They don't wanna talk to a real person.
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I do know that
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I prefer chat support over talking to a person.
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Yep.
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I like the asynchronous nature, of it.
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I just, I my only complaint there is make sure your chat bott has a
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little ding when you get back to me,
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right?
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Because I'm gonna move on.
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Asynchronous nature means that they're doing like three or
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four people at the same time.
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guess what?
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So am I, I'm doing three or four things
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at the same time, so just let me know when you talk to me.
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Do a.
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yep.
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Otherwise you have a tab and you're like, where did that, why am I
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not hearing back from the person?
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So that I don't suddenly go, oh crap, what happened to that support?
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And then you go back and you see messages.
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Are you still there?
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Are you still there?
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I will be closing this ticket due to your non-response.
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Dang it.
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Yeah.
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and I could see like this use case, because like you said, there are
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so many other industries, companies who use it for support, right?
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It is a very common use case to have a chat bot.
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So it's not surprising to see.
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Cohesity taking this approach and just focusing it on their support portal.
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'cause it also helps 'em with their costs.
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And it helps 'em with the customers.
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Quickly finding the answers that they need.
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Yeah.
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For the customers that want it, it'll be . It'll be
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interesting to see if customers enjoy it.
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Well, that's the news of the day.
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We need a thing.
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We need a little chime, bong, binging bong.
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So in our continued backup to basic series this week, we're gonna talk
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about the Internet of things or i o t.
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do you, how many i o OT devices do you think you have in your house?
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14.
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But that's a very specific number.
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Do you know how many I have?
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Because I know, because I've been working on my wifi
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127.
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no, it's like 37, but it's because of
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all of the plugs.
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It's because of all the smart plugs that I went around with,
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many of which I'm now dcom.
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But by the way, if anybody's interested in buying a bunch of smart.
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Reach out to me.
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When we say what is what,
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What is that iot device?
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Yeah.
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when we talk about IOT devices, right?
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It meets a whole bunch of different things.
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Most people think of it like you said, right?
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It's your streaming devices like your Apple
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TV or your ROKU Box.
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It's
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your TVs if they're smart, connected, right?
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Your smart TVs, it's your smart switches or smart plugs that
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you use for turning things on.
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It's your ring device, it's your security cameras, it's your Alexa
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slash Google devices, right?
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All of these things are what people normally think about as iot, which
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totally makes sense, but there's a whole bunch of things that people
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don't always think about, especially in a corporate environment, like your
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sensors for your doors, you have various things measuring, say, humidity or
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things that are used for your factories.
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That are all internet of thing devices, right?
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There are devices that are getting a task done, but people just don't
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consider those to be internet of things.
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And all of these things are gathering some data or doing something, generating
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some data and sending it off somewhere.
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And usually these are sending it off to the cloud, right?
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Some backend service, right?
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Or to some server sitting locally on premises.
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But It's doing something.
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It's creating things and it's sending it somewhere, right?
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Actually, raise your device right now.
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cause that is an
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iot.
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a smart coffee mug, that keeps the temperature of my coffee at
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the perfect temperature.
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so I would say that IOT devices, any device with a network connection.
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How about that?
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I and typically we would exclude from that definition, normal computers.
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Like we're not generally talking about servers and computers
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and laptops and cell phones.
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We're talking about, like you said, like ring cameras and smart
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streetlights and my, my coffee mug.
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Right.
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how's that definition?
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I think that works.
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Yeah.
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But in our world, I'm only concerned with one category of these devices,
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and that is devices that create data and send that data elsewhere.
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Right?
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Which is probably most of them.
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Yeah.
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Well, your coffee mug, may not be
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that type of device.
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yeah, it's not right.
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I'm thinking about like, well, I, I think they all send data.
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It's just, it, would that send data that you might care about
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Yeah,
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exactly.
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Yeah.
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my smart TV sends data, but it's just data about what shows I watched
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or
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which you don't care.
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And my smart plugs send data about my electrical usage,
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Yeah.
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which is interesting.
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But if it all went away, I really wouldn't care.
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Yeah,
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and I don't think my coffee mug is storing the historical use of what I drank.
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that might be scary.
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Let's think about a variety of devices that do this.
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So things like, obviously your ring camera, your, um, what, what
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other, you know, uh, and, and, and various other security cameras.
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This is a big iot
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category,
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Use case.
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Yep.
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what other kind of smart devices that we can think of.
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there's like things that detect humidity right in a factory
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or other things like that.
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Things that might be detecting sensors.
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Like even if you think about like cars, right?
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Smart cars, right?
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Those are IOTs, right?
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So
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a vehicle generates a lot of data.
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That data.
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Could be useful to you, right?
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As you wanna know your driving habits and things like that.
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But it's definitely important to the manufacturer as they start to build.
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I know we talked about AI earlier, as they start to build models and
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other things like that, right?
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You need that data in order to be able to do that, so that becomes
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important for the manufacturer.
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exactly, and again, Like I'm thinking about like I have
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a smart thermostat, right?
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My smart thermostat sends data, but again, it's just data
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that allows it to do its job.
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It's not data that I think of in terms of data that I'm, that
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see, I'm the opposite of you.
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really?
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I actually like my thermostats data because I actually go back
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and see how often did it run?
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when did it run right?
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when I want to look and see, okay, how many hours and how does it compare
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to like the average that they see?
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Am I using more heat or more air conditioning than other people?
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Those sort of stats I get information about.
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All right, so that means that you value that data.
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The, and this is really, I think the key here is that people
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and businesses are different.
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They have different preferences about the data that they want to keep on one end.
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I really want to keep the, The footage from my ring camera, it's been
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invaluable multiple times in the last.
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I don't know, a few months where it's like Amazon said they delivered a
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package and we can pull up the ring camera and see that they did not right.
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If the, if that data's not there, I'm not able to do that job.
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The, uh, and of course if, if something more nefarious, I just, as we're
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recording this episode, they just caught this murderer after a two week, uh,
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he, he was escaped, convicted murderer.
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Stabbed his girlfriend to death.
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He escaped and he was on the lamb for over two weeks.
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They just caught him.
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And the way they caught him was ring camera footage.
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He would walk by people's ring cameras that would get reported.
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actually he broke into a house that had an alarm, that's
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another iot device that set off.
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A bunch of alarms and, while they didn't find him at the house, that allowed
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them to circle their, uh, to, I'm sorry, to concentrate their, their efforts.
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Right.
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They ended up finding him with a heat seeking drone.
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that's another one we did talk about.
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Yeah, drones.
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yeah.
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there are so many types of these devices.
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I can't possibly fathom 'em all, but I want to focus on, I'm gonna
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see if I can categorize these.
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You tell me how I do here.
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Okay.
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Police body cams versus my ring cam.
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Okay.
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Okay.
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And, and I'm gonna make a third category just on-prem security cameras that that
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may have a, an internet connection, but they're not uploading, they're storing it
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only locally.
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So there's three categories there.
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and here's my definition of these categories.
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So ring that thing doesn't store anything.
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it
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The device,
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What's that?
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The
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device.
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the device does not store any data.
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I have specified.
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I only want it to with a ring.
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you can actually zone in.
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So I've got it.
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My ring camera sees.
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My neighbor's house and the street, but I don't care about my
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neighbor's house in the street.
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I've got the little motion detector thing set.
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I only wanna see people to come in my yard.
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I only want it to kick off and record people to come to my yard.
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And obviously people that ring my doorbell.
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Then it records that data and then that data is, is, uh, sent
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up to the cloud.
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The point is that the data is continually stored in the cloud and a cloud service.
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That's one discussion.
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The second is the police body cams.
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it's a locally recording device that's recording, the, what's
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going on with that police officer.
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And then at the end of each shift, they, uh, have a device that they
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Pop that body cam in and then that transfers that data to something magic.
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And I'm sure every police station does something.
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And by the way, the only way I actually figured this out was by
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watching t modern Police shows.
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They show them at the end of each shift was popping the camera.
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And uh, and I realized, I was like, oh, I never thought about that.
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of course that's the way it is, right?
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because you want all of that footage.
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Right?
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Um, and then the third is, This idea of a device that is recording
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data but doesn't have the capacity to get, at least there's no process
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created to get that data uploaded.
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How did I do?
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Did I leave?
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What do you think?
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And by the way, it doesn't have to be video data, it's just any type of
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data,
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right?
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And these are the categories of devices that we actually care about because this
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is generating some data that we care
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Yeah.
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So the categories are, the first two are basically ca devices
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that they're all devices, only
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devices that create data that we care about is
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Yeah.
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Okay.
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Yeah, that's what I, that's
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So the first two are devices that there's a, there is already a process
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defined to get the data somewhere.
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And then the third one is the data's only locally stored and held.
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and then
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there is a process
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Yeah, no, I think those are the three options.
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okay.
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All right.
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So what do we think about that first one from a data protection standpoint?
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My ring cam, let's not say ring cam, but let's say it's a more important device.
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Yeah.
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That is creating data that is now being stored only in a cloud service.
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What do we think about that?
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So this, I go back to all the discussions we've had about SaaS,
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right?
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Which is, yeah, the data's up there.
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Hopefully they, the . Company, the vendor who owns the camera, right?
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Or who created the camera, is providing the facilities to make
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sure, okay, are things protected?
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Are they available?
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Are they being backed up?
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All the rest of that, right?
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But the question is for these, right?
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Usually it's such a low cost thing that . You're not always sure what they're doing.
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And there are so many vendors, like typically, right?
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They might charge you like, I think Ring charges $3 a month per camera
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if you want the capabilities to record and go back 30 days, right?
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But there are some companies, right, that charge less.
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There's some companies that offer it for free.
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And so the question always becomes, if you offer it for free,
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what corners are you cutting?
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and can you trust them to actually protect your data?
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Now, I think a lot of these vendors give you the option to download
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the recordings if you want.
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But who actually does that?
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Nobody.
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Literally
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no one.
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Not even me.
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Exactly.
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So I think that's where it's good that it's out there.
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So it's not a single point of failure on premises.
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So you have the data up there and it's available everywhere, right?
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You could pull up your footage from your phone, from your
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laptop, from wherever else.
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But there are some downsides.
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Yeah, so I, I'd say my general advice there, assuming again, we're
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using Ring Cam, but only to help you understand the device, there
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are probably hundreds of devices
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that create really important corporate data.
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For an organization that is then copied up to only a SaaS service.
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And my answer to that from a data protection standpoint will be the same
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as every SaaS service that we talk about.
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so the question is just make sure you're having a conversation with that vendor and
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see what the data protection options are.
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Don't just assume that because it's a SaaS service, they're protecting the data.
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'cause they probably aren't.
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Yep.
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Okay, the second one, it's a little bit harder, I think, to advise because you've
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got
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a system on, you're getting the data.
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if it's like what I described, and again, we're using these just as an
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examples, but if it's like what I described with the body cams where
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at the end they pop the thing out of their vests and they pop it into this,
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there's like a wall of these things.
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They just pop it in there and it does two things.
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It charges the, the camera
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for the next shift, and it also downloads the video onto their video system.
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I think in that case it's probably being stored in a locally accessed
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system, which kind of makes it like the second or like the third device.
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So what, we'll get to that in a minute, but I'm, what I want to focus
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on here is that you have this device that's creating data out in the field.
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That isn't that unlike the first device, that data isn't
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automatically being transferred up.
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I think, again, an example that I can think of, the first device is I knew
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an engineering company that had an iPad based system that they went, when
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they went around, they took pictures of what was going on in the field.
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Those pictures were automatically uploaded
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to their cloud system that they write.
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So that's the kind of thing
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it
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was instantaneous.
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Yeah.
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Instantaneous.
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But the type of device that I'm talking about here is you have a device that
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creates the data out there in the field and it has no internet connection, and
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then you have a way to suck that data in.
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just make sure that whatever that is, whatever that system is,
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because it's going to be critical, that system is being protected,
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here's the question.
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How many police stations, since we're talking about body cams, how
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many police stations do you think actually back up that body cam footage?
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To a reasonable degree,
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I got nothing.
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I
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You have no data one way or another, but.
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yeah, I don't know it, I think it depends on, Some of the police
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stations were forced to do these body cams and others are like really
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thinking of them as a really good
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tool and others are like hating them, like
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any IT budget, it's a prioritization thing,
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Yeah.
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Yeah.
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But I was just thinking about like, how many times have you heard of
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like body cam footage gong missing,
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yeah, I can't think of another example of this type of device.
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It could be like iot devices.
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Sometimes you're out in the field like gathering results, like you're in a
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remote location and you come back to a central base and then it uploads the data.
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It could be even pictures, right?
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Like your
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Yeah, yeah.
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The pictures.
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Yeah.
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Except that in your scenario, the pictures aren't automatically
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uploaded with an internet connection.
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Instead of buying iPads with the mobile signal, they bought wifi only iPads.
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So the data all uploads.
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When you get
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back, just make sure that wherever that data's going gets protected.
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It's or another example is like you see a lot of like
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professional photographers, right?
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They shoot with digital s SLRs, right?
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And typically they don't have wifi connection, so
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it's stored on a card, right?
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They take the card back in the night to the camp, right?
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Then they upload it potentially, or we'll get to the third case, right?
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Which is probably more likely what they end up doing.
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Yeah.
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All right, so the third case, and what I really am thinking about
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here is I really am thinking about digital security footage.
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Of which there is so much now, right?
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It used to be not everybody could afford, right.
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Um, you know, uh, security cameras, right?
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But now suddenly everybody's got HD security cameras and they have, it
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doesn't cost a ton of money to create.
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Um, you know, basically there's companies that for a couple thousand dollars you
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get a, a, you know, a purpose-built system that has a, has a computer with, with a
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disc drive on it, and then it has you.
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And, and it supports, like one, I was just looking at, um, the, the
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church where my wife and I met.
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They, they have a school there and they had an I, uh, they had a.
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This digital camera system that supported up to, I think it was 16 cameras,
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and you just buy the, the p o e cameras,
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right?
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that's power over ethernet and, piece of cake, you're off and running and it, and
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it's sort of self-contained.
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The concern that I have here, and this is what I wanted to talk about, So having
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worked with a number of these systems, I.
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Murphy's Law applies the chance that you have, the footage that you're
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looking for is inversely proportional to how much you want that footage.
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I can remember many times where vandalism happened, theft happened.
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Smash and grabs happen like full on like hardcore vandalization
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of the inside of a building.
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And 90% of the time, we'd go, we're
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It
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oh, the camera was, wasn't working that week.
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there, the reason why, without going into detail, the reason
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why, was looking at the video.
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System was, there was an incident that happened at the school and we
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went to pull up the camera footage and we found out that of the 16 cameras,
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the one camera that wasn't working,
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was the
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Yeah, that
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you wanted.
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yeah.
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the concern that I have is, If this is a device that's creating important data, and
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video is an example of, it's, it can be, it's data that no one cares about until
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Until they care about it.
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until they really care about it.
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it's interesting.
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It has the opposite value of most data.
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Most data is really important while I'm working on it.
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While it's being created.
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And then the moment I'm done with this document, I couldn't care less, right?
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I'm gonna put it in Google Docs.
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I'm never gonna look at it
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again.
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This is data where we're making so much data and it has no value.
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And then three weeks from now we're like, Hey, do anybody got any footage of
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that, that room when this thing happened?
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And you're like, let me see.
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And the answer's no.
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What do we think about this?
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this?
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is a real problematic,
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Yeah.
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And I think, like you said, you should back it up.
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The challenge becomes whether it's obvious when you are using the systems that, is
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there facilities to tell you how to back things up, what you need to do, or is it
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just yeah, everything's self-contained.
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Nothing I need to worry about until things break.
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Yeah,
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I think it's, I think it's like the SaaS category.
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I just want you to have this conversation upfront.
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Yeah.
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Is there any availability built into the system?
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Is there any ability to have more than one copy of the data?
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it can be problematic to have more than one copy offsite because video,
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it's, they have 16 HD video cameras.
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Do you know how much data that is?
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And if they had a, an, and I, an internet connection, and then that data was
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uploaded to a cloud server somewhere.
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They'd hit their cap, their data cap within a day.
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Yeah, exactly.
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So it can be real problematic and DDU doesn't help.
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Why?
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Why does DDU
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not help Prasann?
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Dupe does not help with video.
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Why
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Of how video works, because typically how video works, right?
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You have one frame and then it's a changes to the next frame.
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And so there really isn't a lot of duplication between frames.
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D ddu?
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I would say DDU doesn't work 'cause there's no dup,
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right?
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There's no DDU looks
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like finding.
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Yeah.
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There is compression and there are compression algorithms that
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help with security camera footage specifically, that is able to detect
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the similar things between frames.
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I think they call 'em Codex.
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There.
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It can be really problematic.
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So the best I can say for you for many of these is to see if
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you can create an on-prem backup.
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This is, I'm gonna violate my usual rules, right?
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Basically because the alternative is near impossible.
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It's not possible.
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Yeah.
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so see if you can create an on-prem backup.
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Many of these servers, I'm gonna say all of these servers are either based
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on Windows or they're based on Linux, and hopefully you will be able to like
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install some kind of something on that box to then copy the data to another box.
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The facility, and then it just becomes in the event of something really bad,
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like a fire or a flood, then, you grab that box and get out of there.
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No one's gonna remember to do that, but it's gonna, in the midst
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of saving their life, no one's gonna go, Hey, make sure you grab the video backup.
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But that's the best I
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can do.
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at least something.
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Yeah.
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yeah.
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I think that's the best possible thing, because otherwise it's better
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than not having anything at all,
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Yes.
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Never let the perfect be the enemy of the good.
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Good, better, best.
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Do what you can until you discover something better.
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If there is a way the the thing like with ring, for example.
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Ring has figured out how to minimize the footage, how to minimize the
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footage that matters, you could do that somewhat with security systems.
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You can turn on,
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motion detection.
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yeah, motion detection.
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Thank you.
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You could turn on motion detection to minimize the number of hours of video you
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are creating, and maybe the system can use a codec to reduce the size of the file
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Yeah.
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and, Then maybe it's possible you can put some kind of backup system on there, like
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a, something that I would think of as a backup system to get that data offsite.
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That's a lot of maybes in there,
Speaker:
but just realize that what you're looking for is one of the most
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challenging things in it right now.
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A really important data intensive.
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Iot device that can create a ton of data that is only stored in
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one place and they don't send it anywhere because it's just too big.
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Yep.
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, I got an example for the second one.
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My meter, my electric meter.
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So my electric meter stores my electric usage for the entire month.
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And then once a month, they wirelessly go by and they pull the data in, right?
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Oh, yours isn't always connected.
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no, not like yours.
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Yours
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are, you have, like, you have, uh, what you call it.
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Yeah,
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Yeah.
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But they recently, uh, the same with my water meter, right?
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The water meter.
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They went around and they replaced.
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The water meter with a smart one that has on the top, they have
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a, little round metal thing.
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I don't know
Speaker:
what to call it.
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right?
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then they drive down the street and it gives them all the, all
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the data from all the makers.
Speaker:
That's a, that's another example.
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Yeah.
Speaker:
but yeah, so I guess the general advice here is to just think about
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all of the iot devices that you have.
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a good way to do that is to use your, your,
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your network.
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look at your network
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right?
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And, look at all the DHCP addresses being given out to random devices that, and then
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You have no idea what they are.
Speaker:
in the case of mine, what's super annoying is when you have an iot device
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that doesn't give its name like it, it just says it gives you its Mac address
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and you're like, that's not a name.
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it is a
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name, but
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it's not
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a
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not what you're looking for.
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Yeah.
Speaker:
I've been going through a lot that lot lately,
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as you know.
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So, oh,
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one thing I wanted to add that I don't think we covered, but is also important
Speaker:
is, I know we talked about video, right?
Speaker:
, but there are also use cases where you're streaming data.
Speaker:
For instance, like my thermostat, right?
Speaker:
It's probably sending, Hey, here's the temperature, here's what I turned on, and
Speaker:
sending all this data at probably, let's just assume it's say every minute, right?
Speaker:
Now as a vendor, right?
Speaker:
You may not need to care about keeping all that data, all the
Speaker:
raw data for every minute, right?
Speaker:
You might aggregate the data up and say, okay, instead of every minute data, I'm
Speaker:
gonna aggregate it to every 15 minutes.
Speaker:
That aggregated data, though, you still need to protect that data
Speaker:
because that's like what consumers like myself see, but you may not need to
Speaker:
necessarily keep the raw data forever.
Speaker:
And back that up.
Speaker:
So that's another important distinction as well, is understand how that data is
Speaker:
going to be used, what's coming back from the IOT devices, what you need to keep
Speaker:
and how long you need to keep it for.
Speaker:
if I could summarize what, what I'm hearing you say there is.
Speaker:
Look at what you're going to do with the data that you get, and then consider your
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data management practices based on that.
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Right?
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So the, the, I, I think, uh, a correlation or a, or a, a similar device
Speaker:
to what you're talking about is sensor data and manufacturing facilities.
Speaker:
They've got
Speaker:
all these sensors and this is, this is kind of like the, some of those sensors
Speaker:
are directly driving what's happening.
Speaker:
Some of those sensors are used later in investigations, and so just realize what
Speaker:
that data is being used for and then, store it and protect it accordingly.
Speaker:
and I'm just saying just have this discussion.
Speaker:
Just, just think about all the IOT devices that you have and, sometimes
Speaker:
we spend a little bit too much time just talking about servers, just
Speaker:
talking about SaaS devices or SaaS services and, we don't spend enough
Speaker:
time talking about the millions of iot devices that are out there.
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Yep.
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All right.
Speaker:
And with that, thanks for having the
Speaker:
chat again.
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Prasanna
Speaker:
Anytime.
Speaker:
Thank you, Curtis, and looking forward to our walk in the morning.
Speaker:
Absolutely.
Speaker:
I'd like to thank the listeners for listening to us.
Speaker:
We'd be nothing without you.
Speaker:
And remember, this is an independent podcast.
Speaker:
The opinions that you hear are ours and not necessarily an employer.
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That's a wrap.