2816: The Future of Data Centers: Autonomy, Analytics, and AI

[00:00:00] Have you ever wondered how the right technology can transform the mundane tasks of IT management

[00:00:07] into a strategic asset for businesses? Well, in today's episode we're going to delve

[00:00:13] into the heart of data management innovation with a very special Mark Walsh Vice President

[00:00:19] at a company called Tim Tree which is a company at the forefront of revolutionising how

[00:00:24] enterprise data centres manage and store virtual machines. So Mark will share his journey from a

[00:00:30] budding career in medical research to becoming a tech visionary inspired by the legendary tech

[00:00:35] gurus such as Steve Jobs-Jombschullion was the act and with 35 years in the industry,

[00:00:41] Mark's passion for technology is not just about innovation at the very heart of everything he does

[00:00:47] he's dedicated to solving real world problems and reducing complex TNIT operations

[00:00:52] and at TNTree, Mark and his team are redefining data management with their flagship product

[00:00:59] TNTree VM Store but this solution isn't just another storage system it's an intelligent

[00:01:04] autonomous operation hub that drastically reduces storage management cost by up to 95% giving IT

[00:01:12] teams their time back to focus on what really matters. Now before I get today's guests on

[00:01:18] it's time for me to mention the sponsors of Tech Talks Daily and in an era where digital security

[00:01:24] is non-negotiable legacy managed file transfer tools they simply don't cut it now. So that's

[00:01:31] where kite works comes in revolutionising the MFT landscape with unparalleled secure

[00:01:37] credentials including the much coveted FedRAMMODRA authorisation this isn't just about compliance

[00:01:43] though it's about offering a secure efficient platform for today's remote workforce

[00:01:48] so don't let outdated technology compromise your security.

[00:01:52] Step into the future of secure managed file transfer get started today by going to

[00:01:57] kiteworks.com that's kiteworks.com where security meets sophistication but now it's time

[00:02:04] to get today's guests on so buckle up and hold on tight as I beam your ears all the way to

[00:02:10] Chester we're at mark he's waiting to share his story with us today.

[00:02:14] So a massive war welcome to the show Mark can you tell everyone listening a little

[00:02:18] ever who you are and what you do. And Mark Walsh was a bio-canis working in medical research many

[00:02:24] moons ago and went into IT 35 years ago. Three grown up kids, two many animals and a motorbike

[00:02:31] and I rose sales in a Mia for Tin Tree which is a wholly on subsidiary data direct network

[00:02:38] which is the world's largest private the held storage company. We developed a

[00:02:45] sale of data management platform which is purpose built for virtualized environments and we're

[00:02:50] not new to this even if you haven't heard of us we've been doing this since 2008 and fixing

[00:02:54] lots of problems because of her since then. We always say that our most viable assets are our

[00:03:00] Tin Tree Holics we've got a very large group of customers globally who refer to themselves

[00:03:06] we didn't coin the phrases Tin Tree Holics because they love the product and what we do for them so

[00:03:12] much. And the fundamental problem that we fix is we we plug the gap between the huge data growth

[00:03:19] that's going on globally now in every sector I mean everything is digitised at the point of

[00:03:26] origination now but there's a huge huge skill shortage in storage management so our data

[00:03:34] management platform feels that gap. Well it's a huge pleasure to have you on the podcast I always

[00:03:38] try to find out a little bit more about my guest and their origin story and it seems that you've

[00:03:42] got quite a backstory there you about a bike and thromps pharmaceuticals etc can you remember where

[00:03:48] your passion for technology came from or was there a moment that let the spark in you that would

[00:03:53] ultimately put you on this pair? Yeah there was so I was a working medical research Neil

[00:03:59] and yeah and then I went into medical sales I was a pharmaceutical rep

[00:04:06] yeah loved it loved it was great fun and that went on holiday many minutes so this is back in

[00:04:13] goodness me 1989 went on holiday and I bought a book at the airport called Odyssey from

[00:04:19] Petitisto Apple by John Scully the CEO of Apple and I read I was fascinated by this but

[00:04:28] fascinated and he he talked about how he was courted by Steve Jobs and Steve Rodney

[00:04:35] act it wasn't the axory wasn't it and then Rodney actually somebody I know Steve wasn't the

[00:04:43] act and they they courted him very heavily to join Apple and he wasn't going to join and then

[00:04:50] Steve Jobs said to him do you want to spend the rest of your life selling sugar water or do you

[00:04:56] want to change the world and that's what that's what turned the switch in his head

[00:05:01] and I finished a book and I turned to my girlfriend and I said I want to work in technology I want

[00:05:06] to work for Apple and then I got home and I started a money to get a place on the Apple business school

[00:05:14] and which was only a two-week intensive course with Apple and then then I worked for an Apple

[00:05:21] dealer and that was my first step into IT but that was the book that sort of ignited my passion

[00:05:28] technology. Oh man what a great story and I had John Scully on the podcast I think it was about

[00:05:36] 2018 some like really so far yeah something like 4 episode 470 and sadly I think Apple

[00:05:43] podcasts only keep the last 2000 episodes also but it is on my website somewhere and he shared

[00:05:49] that story of when Steve Jobs come in and he talked about so much about what was the act and

[00:05:55] did he mention me on the beach reading them? I might have done you know I'm sure he would have

[00:05:59] it some point but yeah and of course we're not here to talk about John Scully though my I'd

[00:06:05] love to find out more about Tintry and this purposeful solution how you're transforming the way

[00:06:10] virtual machines are stored and managed in enterprise data centers so just to set the same

[00:06:15] for our conversation today how do autonomous operations contribute to significantly reducing

[00:06:21] storage management costs because at a time where businesses are all challenged to do more with

[00:06:25] less jointly economic uncertainty it's a big topic isn't it right now? He says a big topic

[00:06:32] AI and autonomous operations everyone's talking about it and as I mentioned before there's

[00:06:39] a huge skills gap in the market there just aren't enough storage managers to manage data

[00:06:46] and extract value from data at the current rate of data is growing and I don't see that

[00:06:53] growth rates ever slowing down so I like to think of it as a self-driving data management

[00:07:01] what we do is provide a 100% hands-off data management environment for customers

[00:07:06] so they literally don't have to think about storage management once they installed Tintry

[00:07:12] and I like it to autonomous driving so I actually do drive a Tesla in the air

[00:07:20] I got hooked on on the that side of things four years ago I've had the car for four years,

[00:07:26] love it and it's got a semblance of autonomous driving but for me as a user the point of

[00:07:36] autonomous driving isn't just because it's interesting and exciting what does it actually do for

[00:07:43] you? Right now it doesn't do anything for me it's a bit of oh and I can show off to my friends

[00:07:49] a little bit with it but it really doesn't change my life but if I always think if I could

[00:07:55] if I had a fully autonomous car on one day I'm sure they will come and I could sit in the car

[00:08:02] maybe get in the back of the car and use the commute time and the travel time to do some of

[00:08:07] engels something worthwhile some work tap away on email spreadsheets whatever then that would change

[00:08:13] my working day probably shorts my working day significantly because it would turn that dead time

[00:08:19] of driving into useful time so that's what we do we give back time to our customers huge amounts

[00:08:26] of time and that's that's right from the installation that sort of period the boxy

[00:08:34] truly plug-and-play we talk about the pizza challenge we had some customers who for fun decided

[00:08:44] to order a pizza when they plugged the but when they when they receive when they opened the

[00:08:48] cardboard box with the Tintry VM store in it and to see if they could serve data to virtual

[00:08:55] machines before the pizza arrived that's how quickly and and real hand the installation processes

[00:09:02] so we said time right from the installation there's no performance tuning there's no daily management

[00:09:08] required and we see a huge amounts of time on the problem resolution side so the net net of all

[00:09:15] that is that by using Tintry Enterprise strategy group did an economic validation study and the

[00:09:23] figures in their paper say that the customers using customers using Tintry realize that 89%

[00:09:34] reduction in storage administration costs and a 35% reduction in five year total cost of ownership

[00:09:41] so it's not just interesting technology it makes a difference to the daily lives of our customers

[00:09:48] and in a former life I worked in I tell you an application management team and looking after

[00:09:55] all those applications all the things that can go wrong being the guy in between the applications

[00:10:00] team and these the network team yeah is it the application at fault is it the network at fault

[00:10:05] all those difficult conversations and one of the things that stood out to me about Tintry is this

[00:10:10] integration of real-time analytics for optimizing application performance felt quite groundbreaking

[00:10:16] to be it's the one used to be in that world so can you just elaborate on how these analytics function

[00:10:21] from day one and in the kind of impact they have on application performance workload management and

[00:10:27] did the support of those applications too yeah I love that Neil so you will totally understand

[00:10:34] when I refer to finger pointing meetings yeah like this by the mad me right that's right so we

[00:10:42] we do away with finger points in meetings so that the real-time analytics makes the it makes

[00:10:49] the the actual product truly hands off and many of our customers say I just forget I've got it

[00:10:57] we plugged it in three years ago and because we've never had to touch it we forget we have it

[00:11:02] and so in a traditional storage environment the storage managers or the you know the

[00:11:08] sysprobs the systems unless whoever whatever the title is these people will be spreading

[00:11:14] workload across spindles to to maximize the performance creating loans provisioning storage

[00:11:21] and and managing all that on a spreadsheet whereas with the end store we put it in and the product

[00:11:27] learns what the the resource the resource requirements of the applications the performance requirements

[00:11:33] and allocate the necessary resources automatically so a very performance hungry application would

[00:11:40] get a wider swim lane and we totally get rid of the the concept of noisy neighbors so sometimes storage

[00:11:51] performance is impacted by a very I.O intensive application

[00:11:57] so to either be interned on or or just increasing it to use the resources like an accounting

[00:12:05] application at month end for example and we we there is no there's no noisy neighbor concept in

[00:12:12] the tintry world and I liken this one I like to use the knowledge is Neil because I'm a simple

[00:12:17] soul that I liken this to being in McDonald's to say that if I go to McDonald's and I'm between meetings

[00:12:24] and I just want to buy a big mac and fries if I'm in the queue and there's only one till and then

[00:12:31] the person in front of me orders 20 meals three happy meals and lots of other things all the

[00:12:37] sudden you think oh your heart sings this is going to take ages that's the equivalent of

[00:12:42] in a in a virtual machine world of a noisy neighbor what tintry does it opens a new tail and you get

[00:12:49] your on teller and you you're not impacted by what the person next using or what the application

[00:12:56] next to your application is doing and that's that's how the real time analytics really benefit

[00:13:02] the end user because they're constantly analyzing the performance of crime each application and tweaking

[00:13:09] them in real time but on on the finger pointing meeting side of things we can with a very real

[00:13:18] scenario and you just described it sometimes the first time that I T operations realize there's a

[00:13:24] problem is when the help desk phone start ringing off the hook and the application has slowed down

[00:13:29] and that's usually because of latency somewhere in the stack it could be the storage it could be the

[00:13:36] servers it could be the network and the people responsible for each of those elements of the stack

[00:13:42] quite often will blame each other and quite often storage gets gets blamed deal

[00:13:49] and these I've seen these problems literally at customer sites literally take hours days or weeks

[00:13:57] to actually diagnose and that sounds like an exaggeration but I do I remember a specific problem

[00:14:03] that are very large and and one of my favorite customers many years ago they had a network problem

[00:14:08] but they couldn't identify where it was and they didn't know whether it was a CPU problem or a

[00:14:15] storage problem or a network problem and we literally can diagnose and identify where the

[00:14:22] layer sensor is instantly with two clicks of a mouse that I believe is unique deal yeah

[00:14:30] I was getting flashbacks listening to you there those dreaded log files that suddenly

[00:14:34] crashed to the server when they fell up and fell up the space and there's a heated

[00:14:39] arguments between the obstacles and the applications guys both are so furiously passionate about

[00:14:44] their particular area of expertise and when the poor the poor person from the service desk comes

[00:14:51] up that's to blame the network or the application they had an all hell hell hell can break loose

[00:14:56] color and that passion is great to see you just reminds me that a very large customer of bank a

[00:15:04] UK bank that used to be one of my customers and their senior management senior IT management did

[00:15:12] something which I thought was really groundbreaking at the time they swapped the heads

[00:15:18] from different departments so storage went to service servers went to network and vice versa

[00:15:24] and it really improved things it improved the the sorts of about a cooperation between the

[00:15:29] teams so yeah the those thing are by two meetings are real yeah they're really awesome also

[00:15:35] got to bring I mean we've been talking well 15 minutes and why don't you just kind of bring in AI

[00:15:39] and machine learning so we've done really well saying it's 2024 but the use of predictive

[00:15:44] analytics and machine learning in forecasting storage and computation needs it's not enough for

[00:15:51] our aspect of data center management now so how does tintry's technology enable organizations to

[00:15:57] accurately model those future needs and also perform those what if analysis as well because they're

[00:16:03] getting so important right now this is something that comes with the with every VM store appliance

[00:16:10] and is it is a revelation to many customers when they realize that you know they haven't

[00:16:17] paid in connect to for it he comes with the box part of the the way we do things so we use

[00:16:22] machine learning as you've said and predictive AI to help customers with capacity and performance

[00:16:28] planning and it's it's a it's a cloud based application it's a SaaS application and we we collect

[00:16:37] up to three years of real data about that customer's environment so not just industry standard

[00:16:46] average type it is that customers specific growth and performance data over a period of up to three

[00:16:55] years then the customer can log into that SaaS platform and they can do what if scenarios for

[00:17:03] up to 18 months in the future so what if I added X number of new servers what if I added a new

[00:17:10] application what if we merge with another company that had another 500 VMs or we acquired another

[00:17:18] company what would that do to my infrastructure moving forward and and other word we are a storage

[00:17:26] company customers get that data for the compute platform as well as the stores platform so they

[00:17:34] can make very intelligent longer term acquisition plans for storage and servers and run lots and

[00:17:43] lots of different what if scenarios and when customers try it they absolutely love the power

[00:17:49] of it because it's based on their their own specific environment and I've also read in the past

[00:17:55] that you've mentioned that customers often described Tintry VM store as their best employee so can

[00:18:00] you explain how this technology not only automates type consuming IT task but also what that automation

[00:18:06] means for IT teams in terms of things like strategy and innovation because it feels that IT have moved on

[00:18:13] from just firefighting and solving all those problems or react to being more proactive and strategy

[00:18:19] and innovation huge part of that right absolutely it's that particular quote I don't think I was

[00:18:27] there when it was said the first time but I have met the customer I will met him at VM world a few

[00:18:35] years ago in the US and he came onto the stand and he latched onto the fact that I was at Brit

[00:18:40] and he was chatting away to me and he said have you heard of the the the quote that Tintry is my

[00:18:48] best employee and it never asks for a rise I said I have he said that was me that was me and it

[00:18:55] was a customer who runs IT for a very large networking provider in the US and storage managers as I

[00:19:03] was sorted this and before very hard to find you know that it's I don't think he said dying skill

[00:19:09] but but it's debt is going so quickly that it's very very hard for companies to it even if they

[00:19:16] can afford them to find enough storage managers but also the the tasks the storage managers have

[00:19:25] to manage are varied and and keep them very very busy so what Tintry does he takes away all of the

[00:19:34] really the mundane housekeeping that the the constant performance tuning the need for

[00:19:41] for spreadsheets to work out what the capacity will be in nine months time and should they go to

[00:19:47] procurement and and start a procurement cycle right now so Tintry does all the textual

[00:19:54] the mundane activities and and as the customer very eloquently said it never asks for a rise

[00:20:04] absolutely another topic we've got to explore here is protection of course so in the era where

[00:20:10] cybersecurity threats are ever present how do you at Tintry and show things like data protection

[00:20:16] particularly through the concept of immutability how does that safeguard against any potential breaches

[00:20:23] because with things like GDPR etc and how quickly you have to report those breaches now again

[00:20:30] another huge topic okay yeah it's and and this is one deal where of course

[00:20:37] ransomware types sadly are a commonplace and an hour of it's a real sort of hot topic right now

[00:20:45] it has been for the last few years and immutability is often sort of about from day one from 2008

[00:20:53] in fact we started selling the the end story 2011 so the company was founded in 2008 we started

[00:20:58] selling products in 2011 and are the the platform the the answer uses a process of immutability

[00:21:08] and has them from day one but I guess that the events in the marketplace mean that that is now

[00:21:15] really really valuable feature to lots of customers and we talk about

[00:21:21] we said that our product was immutable before it was cool because it was inherited the architecture

[00:21:27] from day one and another analyst DCIG in a research paper said that we offer our customers an

[00:21:35] intelligence advantage even though we're not strictly seen as a ransomware protection company

[00:21:41] and so using all the analytics in herons in the product from day one we can identify an attack

[00:21:49] and facilitate a rapid and precise recover it because we're constantly analyzing the

[00:21:54] activity of virtual machines and SQL databases and we can set up the product to to send alerts

[00:22:04] to the customer about we call them movers so when a virtual machine sees massively increased

[00:22:12] activity that could be due to something legitimate it could but but the customer would would

[00:22:19] generally know they would know that they were rolling out some new application or another 500

[00:22:23] users they would know about that but if they see a massive spike in activity on a virtual machine

[00:22:28] or a database that is unusual they weren't expecting it then we we refer to that as a novelly

[00:22:37] detection and that can very often be an indication of a ransomware attack and I liken that to

[00:22:47] the clever technology that the bank choose you know if you do something unusual with your bank card

[00:22:52] like if I started but if I went out now and went to three salad shops and bought three salads

[00:22:58] I'm sure that the algorithms at my back would say put on them in it why is he not at the pie shop

[00:23:05] and they would probably stop my card so if we detect something different using the real time

[00:23:14] and the historical data that we have in the predictive analytics we see something unusual we

[00:23:20] can alert the customer to the fact there may well be a ransomware attacking progress

[00:23:24] and then our management platform which is called Tintry Global Center will make recommendations

[00:23:33] to the customer very quickly now the customer can either at that point decide to manage things

[00:23:40] manually or they can simply press on the execute button we will make recommendations

[00:23:47] and I guess the you know the almost inevitably the first one the first action will be to suspend

[00:23:53] activity but then we can help the customer go back through snapshots because customers can

[00:24:00] settle with just a few mouse clicks how frequently this snapshot their environment and it can be

[00:24:06] every minute they choose to do that and then we can help them go back through or they can do

[00:24:12] themselves on the SaaS platform back through previous snapshots to to a point right just prior

[00:24:22] to the activity increasing and they can roll back to there and as a simple as a simple sales guy that

[00:24:28] uses an Apple Mac on a daily basis I liken that to Apple time machine so either way if I have a problem

[00:24:35] I've always confident that can roll back to a a whole image of my laptop prior to something going

[00:24:41] wrong and that's how simple it is to work with with Tintry and of course the the snapshots and the

[00:24:49] metadata pointing to those snapshots is invisible to the ransomware which is where the mutability comes

[00:24:56] in so yeah that's how a day one feature of our product helps our customers with this very real and

[00:25:04] sadly common ransomware threat and a few moments ago we was also talking about the importance

[00:25:13] of a strategy and efficiency in an era of economic uncertainty so from that side of things managing

[00:25:18] those purse strings how does our Tintry solution influence the way organizations might plan and

[00:25:24] budget for their IT needs especially considering the dynamic nature of enterprises data requirements

[00:25:30] because almost everyone is completely unique or at least the clients think that they're unique right?

[00:25:36] yeah yeah they do and and you write it could be really unpredictable you know that's

[00:25:42] yeah I remember many many examples of customers who have got everything under control

[00:25:49] and then you go away one more and you sit out and we've got this more mergey with another company

[00:25:53] well no idea what that means we're rolling out a new ERP system the boss is just so this up

[00:26:01] this is where our predictive analytics comes in Neil it's very accurate in terms of storage and

[00:26:08] server requirements and the customer can play around with an infinite number of of what it's

[00:26:16] and and from that they can build a financial you know a budget we will have requirements for up to

[00:26:26] 18 months in the future which is which is really invaluable I've found over the last two or three

[00:26:33] years that one of the big bonuses of the predictive analytics and this ability to help with

[00:26:40] budgeting and planning is because in the tech market for a good period of time and still now

[00:26:50] lead times on technology really really stretched out they're you know they were

[00:26:55] incredibly long you know up to 12 or more months for certain pieces hardware and

[00:27:02] and we really helped a lot of our customers plan ahead and place orders in a timely fashion with

[00:27:08] their other suppliers for example server vendors so they didn't run out of computing capability

[00:27:16] well and if we dare to look forward how does tinterest technology prepare organizations for future

[00:27:24] application deployments especially as we were talking about things AI and every business is almost

[00:27:30] trying to go all in on AI at the moment what on the other side of that what role does AI driven

[00:27:35] analytics play in that preparation stage yeah so application development and deployment is a

[00:27:45] huge area for us some of our very very largest global customers you use as is their application

[00:27:51] development platform and the big reason for that is it's not particularly the analytics I'll come

[00:28:00] on to that but it's the ability to rapidly spin a tear down and do waterfall testing on far

[00:28:06] as many thousands of virtual machines because of course to get an application to market quickly

[00:28:14] which is what gives our customers competitive advantage then developers really need to be able to

[00:28:21] develop and test new applications on real data as as near to real time as possible so with a

[00:28:29] couple of clicks our customers using VM store can spin up thousands of VMs do testing do as many times

[00:28:37] in a day as they want and we have we believe right now that the the greatest number of

[00:28:45] inbound inquiries through our website are about application development but the other advantage

[00:28:54] which is what bring it into pretty to analytic side of things is that developers can test the

[00:29:02] the impact on their IT stack of other new application in real time using snapshots and

[00:29:13] and in the source in conjunction with our predicted analytics and see basically what the

[00:29:17] impact is overall in our new application before it goes anywhere near live so they never get into

[00:29:23] a situation where they roll out to their application and the dreaded help desk on start ringing

[00:29:28] and I timing is great on this nail in that I am not sure whether I can name this customer

[00:29:38] but we just literally in the last few days received a new case study it hasn't been published yet

[00:29:47] for a well-liked and known pensions provider in the UK and they are going to press

[00:29:58] literally in the next few days we just approved the draft but this customer and I'm going to read

[00:30:04] the words out here because I've got the the the quoting from some it so literally this is this is

[00:30:10] in the last few days nail we went with tinsery because it just works it would take four or five

[00:30:16] times longer if we had to spend our time provisioning loans to machines and we'd need a much bigger

[00:30:22] team which is something we just don't have and it's wonderful to hear that coming from a real

[00:30:27] customer and we were in competition with an extremely large vendor for that business who came in

[00:30:36] and said and you know they had a good sales pitch they said they could do what we do so you know

[00:30:44] we were up against it so the customer decided to run a proof of concept and it turned out

[00:30:51] that the other vendor could never they they used a lot of scripting days and days of scripting

[00:30:57] and still couldn't do it so it was that was a really that's a really sweet win for us because you know

[00:31:04] we we were able to prove that we could do exactly what we said in our sales pitch and that was all

[00:31:10] application development. Well that's incredible kudos to you and your team for that and if this

[00:31:16] podcast goes out after the announcement there let me know the link and I'll add it to the show

[00:31:22] notes so people can check that out too but before I let you go well any advice that you'd give

[00:31:28] to a tech leader who might be navigating the complexities of modern data management particularly

[00:31:34] in the context of integrating AI and real-time analytics into their operations because

[00:31:39] all seems to be all anyone's talking about at the moment but any advice that you would offer

[00:31:44] again in particular when you shared that that press announcement that's coming up there especially

[00:31:50] when I'm selecting the right provider as well and ensuring that they can do what they say they're

[00:31:55] going to do too it's important right because there's some I think there's somebody businesses now

[00:31:59] pitching for jobs saying their AI went there not even AI in some cases. You literally read my mind

[00:32:05] you it it it it's a difficult one this because I'm thinking oh there's all those super smart

[00:32:09] business leaders out there and so I don't want to do trying to teach any once a subcats but in my

[00:32:15] my experience the market I mean the market's wonderful there's so much really exciting technology

[00:32:22] out there but there's so much hype so much hype and I it I would advise people to really be

[00:32:29] ruthless and checking on those word-based claims particularly something like AI I mean so

[00:32:36] companies have even changed their web subjects to dot AI that doesn't necessarily mean that they

[00:32:42] can deliver anything around AI or they really understand it so I would say beware of buzzwords and

[00:32:48] really check them out and I'll also go back to the basics of of buying and keep asking what does

[00:32:57] that mean to me because there is so much cool technology and it really is exciting to really

[00:33:03] I mean I'd love to be 25 years younger and start an hour to get now really well always because

[00:33:08] it really is exciting but an exciting piece of technology doesn't necessarily deliver real

[00:33:16] operational and financial benefits or or competitive advantage to a customer so I think it's really

[00:33:23] important to keep asking the vendors will that's great it's exciting and I can see that it works

[00:33:32] how will it benefit my operation and use case studies in reference calls I would pick up the

[00:33:39] funds to customers who are doing similar things to you and ask them what they went with because

[00:33:46] I think as I said at the beginning about our tingewey holics we always say that our customers are

[00:33:53] our best salespeople. I love that and it's a perfect moment to end on but before I do let you go

[00:33:59] we started the podcast talking about your origin story what put you on this path and your fantastic

[00:34:04] career but I'm going to ask you to look back on your career now we're going to have a little bit of

[00:34:08] fun with you and ask you to leave one final gift to everybody listening yeah that is a book

[00:34:14] that means something to you that we can add to our Amazon wish list all a song that we can add

[00:34:18] to our Spotify playlist guilt it pleasures are allowed but all that that's because what would you

[00:34:22] like to leave everyone listening with and what okay Neil I've been very lucky here because you

[00:34:28] have already got it have a chance to mention my book which was Odyssey from Pepsi to Apple

[00:34:33] and that was the book that inspired me to to leave medical research and and John the technology world

[00:34:39] so I suppose that's a freebie for me now but the other one the song now this really is not cool

[00:34:45] in trend at all. It might even be embarrassing you know if my friends are listening

[00:34:53] there's a song that I find incredibly motivation at times when I really need sometimes we all

[00:35:00] need to be pulled up by our boot strings and went for it it's fighter by Christina Aguilera

[00:35:10] and there's a reason for that so 10 years ago Neil my eldest daughter who's fine now she's

[00:35:17] 25 now she's 15 then she was very ill and and she's now super super happy and works in

[00:35:26] technology sales Neil so all good it's a good ended but 10 years ago when she was very ill and we

[00:35:32] we as a family we were doing everything we could to you know to help her through it

[00:35:37] we sorted somehow stumbled across that song as our family song and I remember dancing around the

[00:35:44] kitchen with my wife and my three kids to really motivate our eldest daughter and it's just a song

[00:35:50] that even in business if I need to pick myself up and I'm in the car on the way to the meeting

[00:35:56] a wind up Christina Aguilera fighter and I'm ready to go

[00:36:03] and that is an incredibly cool story so I will proudly add that to the Spotify playlist

[00:36:09] how you got me the generous mood now you've inspired me I'm going to get the book on the Amazon

[00:36:13] wish list too and for any one listening just wanting to find out more information about anything

[00:36:17] we've discussed today where would you like to point everyone listening so basically nearly

[00:36:24] people go to tinctory.com there's lots of case studies there potential customers can leave

[00:36:34] prospect sorry can leave questions on there we'll come back to you very quickly

[00:36:40] perfect well I get those links added to the show notes so people can find you nice and easily

[00:36:46] for me this is one of those episodes that add it all from your origin story and that guy

[00:36:50] walking into an airport bookstore picking up a John's book on John Scully and how that transformed

[00:36:56] your world and to now providing solutions that combine autonomous operations with these real time

[00:37:02] insights AI driven analytics and enabling organizations to reduce storage management and cost by

[00:37:08] something like I think up to 95% I read and when your customers say that the tinctory VM

[00:37:14] store is their best employer you know you're doing something right and it's a finish off with

[00:37:18] that inspirational song choice as well thank you for your time really enjoyed it thank you

[00:37:22] somebody big takeaways from our conversation with Mark there from autonomous data management

[00:37:27] learning how tinctory VM stores AI driven analytics and autonomous operations are changing the

[00:37:32] game by learning application requirements and automatically allocating resources reducing admin

[00:37:38] cost by up to 89% and also how tinctures integrated analytics can instantly identify performance issues

[00:37:47] forecasting future needs with machine learning and offer that what if analysis capabilities for

[00:37:52] up to 18 months in advance and ultimately remove that finger pointing that happens whenever there's

[00:37:57] an incident of course what in an era where cybersecurity fences are bound to fail at some point

[00:38:03] it was great to hear about the critical importance of immutable snapshots in tinctory strategy

[00:38:09] that help protect and rapidly recover data so as we explore the transformative power of tinctory

[00:38:15] solutions I think I'd love to open this up and invite you to reflect on the potential of technology

[00:38:21] to not just solve problems but also help you anticipate and adapt to future challenges

[00:38:28] so a big question to every single one of you listening wherever you are in the world how can

[00:38:32] you and your organisation leverage autonomous data management and analytics to stay ahead in this

[00:38:38] fast evolving tech landscape I'd love to hear your thoughts on today's discussion how do you

[00:38:43] see the future of data management impacting your business please email me now tech blog right

[00:38:48] to outlook.com twitter linked in instagram all you need to do is look for at nil c Hughes nice and

[00:38:55] easy to find about website is tech blog right at dot code dot uk and if you go to podcasts

[00:39:01] you'll find a list of more than 3000 podcast interviews if you look for episode 470 you will find

[00:39:07] that one with john scully which I don't I think you'll find on Spotify but I'm not so sure

[00:39:12] on apple podcasts because they do only show the last 2000 and because we've hit over 3000 some

[00:39:19] of that golden content from back in the day is often lost but that's in for today so thank you

[00:39:24] as always for listening to this podcast hopefully you'll join me again tomorrow but if you don't make it

[00:39:29] don't worry until next time don't be ashamed