How AI Powered Chatbots and Language Services are Breaking Barriers in Business Today – Mark McQuade

Transformation, hey you know, having exited the Industrial Age and entered the next stage were seeing the world of business continuing to accelerate as consumers. We expect our phones and apps to be up 24/7. We expect real-time access to services and near immediate delivery of products. The customers of our businesses increasingly expect the same in an always-on world. A high reliability of business services is table stakes to stay, relevant and competitive. This means going beyond service availability and looking at the end-to-end processes and systems which enable our customers transactions today, you’re going to hear

From gab CTO Sri Chianti, as he dives into the differences and dependencies of service availability and service reliability, but first lets go over some logistics. If you would like to ask a question, please use the chat window provided in the Kliq webinar control bar. You should see that to the right. You can type your questions into the chat window.

At any time – and we will address as many questions as possible after the presentation every month, those who participate fully in the webinar are put in a drawing for a prize. Our winner from the last webinar is Fernando Jacinto. Congratulations Fernando! We will continue to select a winner for our webinars, based on your participation and inputs, so please participate in all the polls and the survey at the end to make it into the drawing as usual, the winner

Will be announced at the next webinar once again: Im cari Hoffman, strategic advisor for Gavs technologies and your host for this webinar. I am passionate about business transformation and getting as many companies as possible on their journey to the next stage. Im a number one best-selling business author and CEO of Hoffman digital, an ecosystem of companies, igniting the human experience at work. This includes strategic advisor at Gavs and several modern technology companies co-founder and partner. I get digital velocity and digital Advisor and certified business coach at focal point business coaching. I

Have 32 years of experience in three corporations, including cio roles at Johnson Controls in Johnson & Johnson, as well as sales roles and operation roles at Aurora health care? It is my pleasure to welcome our speaker for today, Sri Cheng aunty Sri is CTO for Gavs Technologies. Shrees prior role was CTO and co-founder of app ensure a Silicon Valley based startup, which is now part of Gavs. Sri has worked in the area of data communications and Internet technologies for the past 35 years and introduced more than a dozen products into the. U s:

Japanese and European markets tree was previously involved in additional startups. He was CEO and founder of CES and co-founder and chief technical officer of Hollen Tech Corporation prior to the start of Shree was director of software at the data communication systems, division of NEC America and has additional corporate experience with GTE and Burroughs Shree holds five patents In the area of high availability and clustering, as well as an MS in computer engineering from

Drexel University, before handing it over to Cherie, we have a special treat tonight Id like to introduce srini tech advisor for Gavs and guest speaker to kick us off over to you is Shri nee hi Carrie, thanks for the introduction and for setting the context good morning And good afternoon, good evening, all the viewers so so before free goes into deep of this. This particular new concept. I would like to throw some light on. You know why it is important in todays context, see all along ideas. Some I tell

You know IT monitoring these are being existing over the last two twenty thirty years. Okay, so several tools have been, you know, matured enough to do the IT monitoring, infrastructure, monitoring and all those things but todays. The new age of you know business Yemen, urgent, such that lot of newer components are being introduced into the scope of IT and business application. For example, things like Internet of Things, Internet of Things where the most of the data in the

Previous year is generated by humans. Rather now that, though, the data is generated by machines and also the technology is like you know, blockchain, whereby the data is not only put in one one, sir, where are the one load? It is just its replicated across the world due to various nodes, so so there are like under under the new application. Architectures, like you, know, micro services containers. So all these makes that todays IT environment much more complex, then what they were yeah. I think you have five years or three four years:

Back that is number one. The second thing is that today there is a new set of business. The emerge hugely based upon technology. If you think that you know organizations like uber, whereby the organizations the entire you know growth are there. They’re poisoning is purely on building the IT services, so the Boosters is fully dependent on IDs or so it is no longer just the availability of the systems. For example, like you know, 10 years back, then we are running a mainframe or a unique server.

Where we may be satisfied with, you know whether that’s, whether that you know that the discs are working, fine, the memory is fine and they, you know the CPUs getting pinger and responded. The server is responding, but with the complication of architectures. Second thing is that, with the new business model emerging out of the these new architectures, like the you know, blah Chane base of the system, IOT based systems, it is even more important that we need to shift the beyond IT service availability towards the service.

Reliability that’s what she is going to talk to in detail, and even you will start now. What do you see? Thank you. Thank You. Jenny. Are you guys able to hear me? Ok, ok, excellent! Thank you greetings to everyone who is actually attending the webinar today and thank you for the time to attend a webinar, and if we can move ahead to the next slide, I would like to kind of give you a quick

Introduction to our webinar today, as well as a little bit about gaps. Gas technologies has been a leading provider of digital transformation solutions, predominantly focusing on machine learning and artificial intelligence, and we have fortune 5000 customers that have been benefiting from the solutions and the services that we have been offering and part of that. As a as we a business unit focusing purely on the AI solutions, ZIFT Rai has been launched and we are

Actually, providing solutions to that business unit, so this about this webinar a little introduction. This is not a sales pitch, we are, we have in 2019 and we will, in 2020, continue to have informational, webinar series more on sharing our experiences and soliciting your experiences and thoughts. As to how this AI ops, IT ops, employing artificial intelligence and machine learning is evolving, so this is going to be a very interactive webinar, as had been our previous webinars before polls, and there will be a survey at the end of the pole. At the end of the webinar

And would definitely hope that all of you will partake in those surveys and in those polls, because your input is very much appreciated for us to shape our thoughts in terms of what the market is needing and what solutions we have to create and moving forward with. That little introduction, let me jump in with the first axiom or first fact that is happening. Business services are becoming very end user specific, so users of a service is now driving the evolution of

The services, whether the chooser is an internal user or an external user or an external customer, but the end-users experience of going through a business process is become the Paramount and, as a result, the end right and as a result, the business services have to cater to The needs of the end-users and their experience, because the end-users have become sophisticated. The technologies like mobile technologies and smart phone have enabled all of us to demand a service instantaneously and because of that demand for providing an instantaneous service, a lot of productivity activities are happening.

Within organization there is, for example, the services to be launched instantly. Others have to be launched based on how the end users are experiencing a business service. What extensions are they looking at it or what other services could be incorporating it? So as a result of that, the high demand for creating almost in an agile, continuous integration, continuous development format has taken over the business services, development within organizations very demand for very high productivity and, at the same time, the transparency, the security concerns and

Empowering the end-user to experience the transparency, insecurity has also been a requirement, and all this productivity that is happening within the organization is actually being for for delivering better faster business services is also being influenced by the requirements of transparency and the empowerment that the end user Needs to have for for utilizing these business services, so all of this has ushered in

What we call digitization or digital transformation, where organizations are looking at their existing business processes and theyre looking at what should be optimized, what should be enhanced and how new business processes have to be introduced for service reliability. So these days, its no longer necessary for you to see the four bars on your mobile phone to be all lit, it is now coming to a point. How long is the quality of my call? Is it actually connecting in time, is the quality of the call? It consistent throughout the call

These are the evolving reliability demands from an end users perspective, which are making business services more and more complex. Youd. Be surprised that a business service today minimum touches about 80 200 different technologies on an average. So this this and these transactions have become complex. So, as a result, whether it is a service being available from your mobile phone from your laptop from your

Smart device, your iPad or whatever the number of technologies that are involved and end-to-end business service, completion or increasing, and not just staying it at 82 technologies. More and more technologies are coming in. What does this mean? It means that were going to be having multiple points of failure and when these multiple four and not only that look at how we are handing over the business service and the

Execution of it from one party to another party, and if your business service is all available from your point and if the mobile service is not good, then it is still going to reflect on your business service. So there are so many different players with whom we have to cooperate, coordinate for making these business services, which are getting more and more complex in terms of technologies to be able to not just be available but be reliable. So in order to accomplish that availability and

Reliability, what is changing in terms of technically in order to cope up with this increasing needs of business services? Look at how the technical landscape is evolving. The applications are being real connected for the flexibility of being able to launch and develop, develop and launch new business services in a continuous integration model. Micro services are being adopted, the applications are broken down. The monolithic applications in the past are being broken down into smaller pieces and services that could be launched with

Ease and therefore the containerization, the orchestration for the availability of these micro services constantly, so that I could, if some failure is there, I could orchestrate and move this container somewhere else is becoming more and more prevalent. For example, if you look at what we see as the AWS lambda function as a service, I mean, if I could basically look at what a if I were to just not develop, but some business functions that are required for my business services are available. Can I use them right away from providers like AWS and Microsoft, so this is gaining

Traction which basically means that it is going to introduce multiple new monitoring challenges for us to look at all those functions that are being utilized in business services that are being provided as a service by an external provider. An entirely new class of applications are evolving with the IOT around again, the Internet of Things will play a very important role in how the business services are being delivered and monitored, and these new

Set of applications are also becoming part of the business business services. The set of applications that provide a business service to the end-users and the diversity in the technology stack. What are all the technologies that are available, open source, predominantly driving it and also provider and supported by industry, giants like Google? This new stack of technologies that are a new languages, new architectures that are being provided and available to the

Developers so that they could provide these develop these business services in an agile format. That stack is becoming more and more diverse and more and more complex and that’s. A and one of the important points that, if you want to take away from this webinar, is that then, the this point Im making right now, which is that performance, is now being defined by four golden signals. What is

The response, time of your service, what is the throughput the service? What is the error rate and what is the contention in that this service is having with other services? These are the four major golden signals by which P of the service are being provided by the organizations are going to be measured, all being measured and will be the benchmarks for measurements moving forward. The service now service business services. Now the quality of it is being measured by mean time to

Resolve so your services, it is not mean time to identification, mean time to repair me. It is not repaired resolve if a service is not performing. How soon can I resolve that that particular issue, either by finding a a workaround so that the end user will not see the impact, so this demand for this empty TR being in nanoseconds, so that that resolution is going to happen in nanoseconds? It is going to be driving how a service quality is going to be determined and

All of this, the infrastructure that supports the compute network and storage, multiple layers of virtualization, multiple technologies of abstraction, are coming into picture, making it even more complex as to how these business services have to be orchestrated and monitored, to make sure that theyre not only rely Available but reliable as well. So at this point of time I think we want to go ahead with our first pour launch or first for Paul to get your feedback on what you see in your organizations the changes that are happening so there

Will be one minute for the poll and please participate in the poll and share your experience and observations with us please. So, at the top of the minute, the poll will be closed and I should be able to start my next line on well before we go to the next slide. Are we going to be sharing the results of the poll with our a is Anita? Oh there you are

Well, I think what we see here is that 20 about 20 % of seeing the migration to go already about where I see 40 % that’s. Basically, everything in that poll is what were seeing and I think you’re reinforcing what our observations are. Its not just one initiative that is driving, it is the collective initiatives of migrating to the cloud, while the applications are being. We are connected with the emphasis and the performance

Because the end of the day, the service being available that we are providing with these applications is what the paramount importance are of importance is to the organizations and that’s. The reason why many of you are seeing. So are we in terms of what is happening out in the market today? Now, if you look at what this digitization and and what, from a pictorial point of view, what I was talking about in the earlier slide, the monolithic applications of the past are migrating to several less architectures. When the serverless architectures, we

Have the leading players like Amazon, Microsoft and Google, providing us with tremendous amount of Technology tools to be able to construct these services and custom and launch them in a very fast tedious manner? And then the event-driven architectures, where function as a service, is available to me, and I could react to these events and basically create architectures. Where, with how the end users are interacting with the

Business services, the way I could change the nature of the business service purely through interaction of the end-users is another evolving trend. So all of this digitization, the innovation, the diversity I was talking about the complexity. I was talking about all towards the speed so that we can actually create these business services that we are talking about at the speed of light, because every end-user is wants, a instantaneous demanding for an instantaneous service, availability and reliability. So the traditional

Applications as theyre migrating, the application architectures that were previously may no core Java and net applications are now migrating theyre, usually as sophisticated messaging bus messaging buses like Kafka, activemq, depending upon what age or or Apache storm, and what ws redshift. These are all basically examples of the technologies and tools that are available to us and being able to host them and monitor them and see how these services are are performing.

Whether it is a KS as your kubernetes Services or AWS as app mesh, all these things are available today for developers to create these applications. But as much as this is a promising and an encouraging thing. From the point of view of developing the business services and launching them same time, the ability to monitor and coordinate across the business of his end-to-end so that the service is not just available because

All these tools today will help me to make sure that my service is available. There isnt anything here that can stop me from making a service available, but there isnt anything here that makes me guarantee that my service is going to be reliable, and that is basically one of the biggest challenges that organizations face in terms of being able to provide Business services with a reliability factor, so with that, I want to launch our second poll today. This is this poll number two of the four polls and in this poll here we want to ask you:

As to what technologies are you seeing in your organization in terms of containerization or micro services, whether there is an adoption for platform as a service? Are you seeing a dual migration or AWS migration or Google migration, and none of the above is a trick question, because if you’re seeing changes in your earlier poll from the earlier poll you’re seeing these migration so one or the other of these

Should be happening within your organizations so please to participate and well close the poll after a minute. So after we close the poll everythings going to share the results with us as to what you ought you have to share with us? Well, we got about 50 % participating, I hope, and as so containerization and micro-services a Jew migration very, very, very consistent with what we are observing the marketplace. Azure and AWS migration predominantly has because of the maturity of those technologies, or that platforms being available and of

Course, when you are migrating to assure an AWS, the pass adoption is going to be part of it and, of course there is a tremendous shift of the legacy applications moving towards the containerized and micro services model that thank you for participating and well move ahead. So as what are the insights that are required from an IT perspective for us as these technologies, I said the challenge is that I have plethora of solutions and technologies available to build my business services and launch them in a very fast manner.

Now, if I were to look at what is there in terms of the insights that I can get from an IT operations for these business services that are being launched, whether they are based on a pass or are an infrastructure as a service or function as a Service kind of dependencies, when you look at it from a purely reactive model, if you were to look at the logs and and perform the forensics of what might

Have happened, that’s, reactive, that reactiveness is moved into more of an application, centric performance monitoring right now. What is the application who is using it? Is it performing right and events related and unrelated to that performance that could be analyzed from multiple metrics tolls silos so from multiple silos being able to ingest the data and in real time, look at the performance of an application is where the metric divin comes into Picture but if you’re looking at these technology,

Advances and what we need to do, we need to require a full end-to-end relationships and based monitoring of the services and the dependency of that service, because it is no longer just a bunch of applications that are developed within an organization. It is also services that, on which my my business service is dependent upon, that are being provided by the external service providers. So what, when and why a performance can become abnormal across

The stack requires an algorithmic relationship, driven platform that monitors not just anomalies but monitors what the anomalies are. The symptoms might actually be focusing on the root cause, because a symptom might not actually relate at a root cause because of all these moving parts and all these dependencies that we have in a business service. So. But when you look at that,

Reliability challenge they have today. The idea operations are today most of the times, looking at the problem from a manual perspective which is going to be ever prone, and this is the reason why, when we talk about the artificial intelligence and business of this availability and reliability, where will that artificial intelligence And machine learning will come into picture with the IT analytics with all of these components and tons of data coming in

Being able to manually analyze, it is going to be not just error-prone but will also be time-consuming. The second thing is today we have reacting to the problems. We are reacting to find a resolution that does not prevent problems from happening. This is another area where the artificial intelligence will come into picture. The machine learning will come into picture because

With machine learning and artificial intelligence and intelligence, algorithms being able to sift through these terms of data that we are getting in, creating the patterns and and for me forming the patterns that will be, it will enable us, based on the pattern matching of something that might Go wrong will make this reactive problem resolution to a proactive problem avoidance and because

The business of his owners today do not have a visibility and to invisibility of all the components that make form that is, that is part of this particular business service. Delivery. Having that visibility and having the visibility to monitor the performance and the incidents that might appear to be unrelated to my business service, having the visibility into that, so lack of visibility is not just what is going wrong. But what might be going wrong in the peripherals that might all

To affect my business service is the kind of visibility that we can get using machine learning and it when we talk about the capacity analysis from a business context, point of view. It is not whether you can throw in more CPU memory or whatnot. It is the capacity of the entire delivery supply chain of all the components through the whether it is computing power, whether the storage power, whether it is networking bandwidth whether it is the ability to demand the service levels that you require from the service providers on which Your prisoner

Service is dependent upon. All of this capacity is what the capacity analysis requires, and this challenge that the IT operations have is one of the reasons why the business service, availability and reliability is being blurred today. But that will go to our third poll in terms of what Ive described, of a reactive, event-driven, forensics or being able to ingest and try to look at what

Might be happening with the performance of your services and applications or algorithmic driven platform, which is looking at the future evolution of your business services. Where is your organization in this, in this spectrum? Is what what we would like to understand you so after one minute and it will close the poll and share the results with us and please do participate and theyll just know where you think your

Organization is – and this will be the last but one we have one more poll to go and not surprising. The results are not surprising, because majority of the organizations today are still struggling with the reactive mode of finding out what went wrong then focusing on what might go wrong, and that is where the AI ops come into picture, and that is where the need for artificial Intelligence and machine learning has started popping up as a requirement which has resulted in the

Market realizing and adjusting to that, if you look at market dynamics today, there are five types of vendors who want to bring AI into the operations IT operation, space, the application performance, vendors, like app dynamics and dynaTrace, or focusing and making this as a feature. While a ops and IT ops has come to a point where it can stand alone as a product category, API members are interested in pushing it as a feature in their product. Even management, vendors like Mook, soft and others. Big panda have taken their

Historical experience in event, management and added the artificial intelligence and machine learning into their core product offerings and are making or trying very hard to make AI ops as a product category. The workload automation vendors, like turbine omics, also entering into this space again making artificial intelligence and machine learning as part of a feature, and so are the monitoring tools and, like

Solar ribbons and others, and so are the ITSM vendors like ServiceNow, knowing and understanding that there is a need for advanced algorithms, fast learning, algorithms, machine learning, algorithms that need to able that are required to able to ingest the data from multiple sources and make sense out Of it has been realized not only by the end users as a result of being realized by the end users. All these vendors are providing extensions of what they have in order to provide that availability and reliability within the their solution.

Offerings so there is a survival and domination kind of a dynamic that is happening in the market with these vendors, while the MOOCs also the world the event management vendors of the world have made progress in terms of what how they can show the results and what Results can be applied in terms of applying this machine learning to the event management system. Vendors like ServiceNow are incorporating that so that they could actually provide automation so theyre, looking ahead to

See what kind of automation and could be done now, the digital landlords. On the other hand, when you look at the Microsoft or Amazon or Google, the digital landlords are providing you, as Ive shown you earlier on a lot of technologies and solutions and tools so that they could get you more and more embedded into Dave solution. See the whole concept of the cloud was: hey. The

Cloud is gon na, be something that I can move my applications on and I can migrate them from one place to another cloud to another cloud that was, that is more theoretical, that’s an ambition today, depending upon which cloud you choose, which technologies are available, that you Are employing in terms of making your business services available to your own customers? More and more you’re, going to embed yourself on yourself into the choice and being able to migrate across is going to become more and more less viable as we move forward. So as these digital landlords,

Are grabbing this space and trying to in embed the lawn mobility into your business services, the digital marketplaces are evolving, where multiple vendors with different solutions are grouping together to provide the third party outside view of what is happening. The monitoring as it stands today will become. Free commodity will be free in few years to come, and the point Im making here is just to show you how much

Faster, it is happening, then, what we think is reality: the open source, new startups, the investments that is going into new startups. All of this is all driven towards how soon and how well can the solutions offer to their customers, the business service, availability, metrics and reliability guarantees. So with that, I think well go with your with our last poll of the

Webinar and if you can kindly participate, we will go through the rest of the slides and open it for your questions very quickly and well close it at the top of the minute, and this is, I request you to participate in it because I would like to See where you stand in terms of your definition of availability and reliability so Ann, it will close it at the top of the hour and share the results with us. Thanks for participating, 23 % and 42 % on service

Reliability – I am very heartened to see this response, because the whole premise of this webinar and the whole premise on which ZIFT, Rai and gas is building. These solutions is on service, reliability and Ill share that as to how and why it is important. The next few slides, if you look at the current AI ops state of IA arms, the current solutions in AI ops are for focusing more on aligning with monitoring ingesting tons of data are taking alerts from all over the place.

And focusing more on reducing that raw alert volume and providing if there is any automation around resource, CENTAC automation, all of these focuses on service availability is my service available? Do I need to throw more resources at it so that it is available, and how am i measuring my availability? Is it responding back when I think it is it responding back? Is the service available for somebody to access, but the real needs of tomorrow are is availability is going to be taken for granted? Your service has to be available, that’s the lead that you have to play in

When your business service is available, there is no question, and at the example I always give, is that when Google doesnt show up on your monitor, you dont suspect Google, you go check your access router, whether it is up or not. So that is the kind of availability guarantees that your business services have to provide when it is available. The consistency of service performance is the need of tomorrow. The service centric automation, which not just involves the resource centric but looks at what might

Be required for me, including the dependencies I have on the external service providers. How should i orchestrate and reformulate my service architecture from a delivery perspective so that the reliability and the consistency is maintained? Such kind of automation is going to be required. The continuous service improvement. What all required continuously, from an architectural perspective, from a technology perspective, from a delivery perspective as to the improvements that

Need to go in so that I could provide a continuous continuously consistent performance because Im continuously improving the service components of my service delivery chain, because if you service, reliability and service availability are not the same availability is an apt tribute. That, basically says is the service available. When I, a user, requested the service, the liability is where the probability of

Being able to service that request in a guaranteed time period is what is more important. It is governed by the service levels. What service level? If you look at any of these SAS providers today, nobody guarantees you a service level. They will only guarantee you availability. Theyll. Tell you your office 365 is going to be available and if it is not available, you’re the one who needs to make it may

Approve to them it was not available, but never will any of the SAS services providers today say that my application will respond back to every request that comes from your organization within X amount of time. None of them provide that reliability, guarantee so service, reliability and guaranteeing service reliability requires that algorithmic relationship-driven solutions. I need to know all the relationships within my

Entity that is providing the business service and be able to monitor it. Not only should I be able to look at and infrastructure as a service platform as a service service as a service. The entire available solution platform solution that are provide to me today should be targeted for us in terms of being able to provide that reliability, and such a reliability is not just looking at alerts. This is where the intelligence, artificial intelligence comes into picture. You need to date, data alerts, log data change, requests, known errors. What are the configurable items?

Relationships? How? What are the logical topologies? What are the physical topologies? Where am I okay and every incident event coming in that data has to be aggregated normalized so that I could make correlations out of that. So I can learn patterns and then start predicting and that predictions have to be grounded or should be around service, reliability and service. How can I guarantee a service level for my

Business service to my end-users, that should be the driving force and that’s, where the service reliability with requires artificial intelligence and machine learning, and if you look at it in a different manner, the amount of data that’s available, structured, unstructured logs events alerts. All of these have to be combined with the discovery that I need to make up the services. What applications are running? What applications have I discovered? What is their topology? How does this application

Form a business service or does the business surface or does one application provide multiple business, their business services correlate that event reduce the noise, identify the root cause of any declaration, but that single truth on which all of this has to be done is service. Reliability, service, reliability defined by those four golden signals. I talk to you about response time, throughput error rate contention defined by those four golden signals. If I can actually use artificial

Intelligence to provide the service reliability by predicting what might happen with all the events and alerts and metrics ingesting using artificial intelligence. That is the journey that needs to take us towards the service viability. We add ZIFT rai, the business unit of Gavs technology are providing solutions that will allow our customers to crawl, walk and run with solutions that will allow them to understand and experience a what a AI driven service. Reliability will look like by providing

Them a sandbox and providing two different versions of our solutions: zip now and zip enterprise, where you could look at the power of artificial intelligence with service reliability with on a smaller scale, with our zip now product and for a larger scale for an enterprise with our Zip enterprise product, so these are the solutions that we are providing for our customers for the service, reliability and again, as I said, this is not a sales page. This is

What weve learned and how we are making our solutions available to our customers? With this, the webinar comes, my slides come to a close, and we will open up the floor for questions and answers. So I think how you should be asking questions have been shared with you earlier on. We would appreciate if you, if you can type in your questions, so that I could address them. If you have any yeah banks, those three we have the questions coming in. Okay, omma top historical data, is needed for the a of school to make inclusion for testing. Well, it all

Depends right again how much when did you for whoever it is as human beings? When did we stop learning we didnt stop learning when we turned 25 and said 25 years of experience is good enough for me to keep learning. The learning is an ongoing process. So the historical data again is a, in my opinion, an anomaly as, as the

Stock market will save performance. A historical data is not an indication of what your future performances the unsupervised learning mechanisms to learn what is happening from this day on. You are learning accuracy or your learning process who is going to get mature and typically it will take, and what I have seen will take anywhere from one week to thirty days to have the initial learnings in place. That could be built upon as we move forward and this

Learning is going to improve and if this learning is going to have its a continuous journey, its not like you know, 30 days, Im going to learn everything Im going to predict everything. No, it is a continuous journey, but it will take at least 30 days. You have two weeks that it is to form initial relationships and initial patterns. We can go to the second question island right. So if a service is not reliable,

Always it accessible just because of the moon as a signal that’s not connecting is accessible. The service is not available, regardless of the availability dragon that’s precisely the point of the webinar is right. Availability does not mean reliability. Availability is, if you’re measuring your business services. Out of reliability, are they available or not, then yeah they might be available, but are they reliable if you open your email at 8 oclock in the morning when

10,000 employees in your organization are also going to open the email, and then you say I it always takes 10 minutes for it to load Im going to go. Get my coffee, that’s, not reliable. Every time you click on that service. You are an internal user. For your organization and email is one of the services that your organization is providing to you and if that service is consistently available, irrespective of the time of the day when I click it, Im gon na get a response back in 500

Milliseconds, that is reliability that is guaranteed service level. So yeah you you. What you stated in the question is absolutely right: availability does not mean reliability and reliability is not what we are measuring our services against today, and that is precisely what ZIFT, Rai and gas is doing to provide such solutions. The next question is Ziff. Now, as you explained, what, along with ideas and tools, so does it analyze the input, for, I think Id need tools or any other way of collecting data. The the ITSM tools from

Which the data is being collected is being collected for establishing the relationships and also being collected with an assumption that ITSM, as a service manager or service management platform, is a single source of truth for the IT operations guys in order to manage their services. So when the ideas and platforms, the service management platforms are there, what Ziff now is doing is documenting those platforms with the machine, learning and artificial intelligence so that we actually can provide the feedback back to those ideas and tools about the services that weve

Discovered and what might be going that needs to be cool, it might be going in in terms of events and alerts and changes or known others that might affect a business service. So we are argumentum in zip, now the the power. What IDs and tools have today. I think were coming up were right on the hour under Nenita. I think

We probably should wrap it up, and if we have any questions, we should take them offline but Ill leave it to you. I want to thank everybody for listening to me and and attending this webinar really appreciate your participation and please do participate in the survey at the end, the end of the webinar. Thank you very much. We are before you leave one more final question. One firstness mentioned that that is a case from many

Customers into a chemical industry that data for maybe well not two years of data for a particular a few months and they mean, is ask for the time we make to provide them with the patients. Very, very, very good, because the in your question itself, you have given me the answer: petro chemical equipment, mechanical equipment, with the signals that it gives out or consistent the software related solutions we are talking about through which we are providing the business services are constantly changing. Are constantly dynamically being changed by multiple people across the organization and that

Changes are also have to be included in as spot predicting what might happen to that particular business service. So if I had a machine that is operating – and I know exactly what that machine has to do, the data it spits out will give me enough to predict what might happen with that data, because input and outputs are constant, which is not the case with the Services today, because we are actually going, we

These services are becoming very dynamic and are changing based on what the market needs are, and therefore, all of the historical data that is given to me Im not saying Im, not discounting it, but doesnt necessarily mean that will be enough intelligence of knowledge in there. For me to form my intelligence yeah, so here well beyond our time. Thank you very much for the wonderful session and thank you. Everyone for attending

This webinar, we have the webinar feedback survey on the screen. I can please fill in your feedback and then many of requested for the presentation slides. Yes, we will be sharing. The presentation are being recording post this. You will be soon receiving the link from us and I can also write to us. If you have any queries you need, you can

Write to us at inquiry at the AI. Thank you everybody. Thank you very much for your time.