What OmniVista Network Advisor, AIOps system, can do for your network infrastructure?

Summary

This webinar, presented by Alent Enterprise experts, introduces Omnivista Network Advisor, a new AI solution designed to enhance network efficiency. Enri, the speaker, outlines the importance of AI in networks, emphasizing how AI-powered tools like Omnivista Network Advisor can predict, identify, and solve networking issues in real-time. He explains the tool's functionalities, including real-time monitoring, issue detection, and automated solutions, aiming to improve operational efficiency and reduce risks. The webinar covers how Omnivista Network Advisor works independently but can integrate with other management platforms, highlighting its potential to transform network management through predictive maintenance and AI-driven insights.

Takeaways

• 👋 Welcome to the webinar presented by Alent, focusing on AI solutions for network optimization.
• 🚀 Introduction to OmniVista Network Advisor, a new technology for enhancing network performance with AI.
• 📌 Today's session is recorded, with presentation materials available for download.
• 💬 Participants encouraged to ask questions via the GoToWebinar control panel for a Q&A session at the end.
• 🖥 OmniVista Network Advisor aims to redefine network management with AI, addressing issues like reasoning, learning, and creativity.
• 📈 Highlights the importance of machine learning and telemetry in improving network tools and operations.
• 📡 Discusses the role of AI in classifying, optimizing, and predicting network performance and security.
• 🛠 Presents the OmniVista Network Advisor as an intelligent, autonomous system for real-time network monitoring and risk mitigation.
• 🛫 Outlines the tool's capabilities in identifying, mitigating, and optimizing network issues with just a few clicks.
• 📝 Demonstrates practical use cases of the OmniVista Network Advisor, from fixing network issues to enhancing security and operational efficiency.
• 📲 Emphasizes the tool's mobility and ease of use through smartphone integration, allowing network management on-the-go.

Q & A

What is the purpose of the webinar presented by Alent Enterprise experts?

The webinar aims to introduce and discuss Alent Enterprise's latest solution, OmniVista Network Advisor, and explore how AI can benefit network management.

What is AI's role in network tools according to the webinar?

AI, through technical systems, can perceive surroundings, solve problems, adapt behavior based on previous actions and new data, improving network management efficiency.

Can you describe what OmniVista Network Advisor is?

OmniVista Network Advisor is an intelligent and autonomous system designed for real-time network monitoring, alerting for potential risks, and mitigation to improve the quality of network operations.

What are the key benefits of using OmniVista Network Advisor?

It helps in identifying and mitigating network issues, optimizing network operations for better quality of experience, and provides solutions with a single tap, enhancing operational efficiency.

How does OmniVista Network Advisor utilize machine learning and AI?

It collects relevant information and data through telemetry from various network sources, adapting and learning to predict and react to network events for improved efficiency.

What is the significance of telemetry in OmniVista Network Advisor's functionality?

Telemetry allows the collection of logs, metrics, events, and traces from network systems, enabling the AI to learn and predict network behavior for proactive management.

What are some examples of AI applications in network management mentioned in the webinar?

AI applications include classification, optimization, and prediction tasks such as detecting network service denial, predicting future traffic, and recommending configurations for improved network performance.

How does OmniVista Network Advisor propose to improve network troubleshooting?

It provides real-time alerts, suggests remediation actions, and automates data collection for troubleshooting, potentially speeding up operations and reducing customer cases.

What differentiates OmniVista Network Advisor from traditional network management tools?

Unlike traditional tools that mainly manage network devices, OmniVista Network Advisor uses AI and machine learning for proactive and predictive network maintenance, offering intelligent insights and automated problem resolution.

How does OmniVista Network Advisor integrate with existing network management solutions?

It's designed to work independently but can interact with Alent's OmniVista network management tools, leveraging APIs for enhanced functionality and compatibility in future releases.

Outlines

00:00

👋 Introduction to AI in Networking

The webinar opens with a greeting and an introduction to the session presented by Alent Enterprise, focusing on AI's role in network management through OmniVista Network Advisor. The session, set to last 45 minutes, is noted to be recorded for those who may have privacy concerns. Attendees are informed that they will be muted but are encouraged to ask questions via the control panel for a Q&A session at the end. The presentation aims to explore artificial intelligence in networking, highlighting the importance of AI for network efficiency and introducing OmniVista as a cutting-edge solution. Key points include an introduction to AI's capabilities like reasoning, learning, and creativity, and its application in network tools for problem-solving and efficiency improvement.

05:02

📊 AI's Impact on Network Management

This section delves into the significance of quality data collection, particularly through telemetry, for enhancing AI solutions in network management. It outlines the role of logs, metrics, events, and traces from various network systems in improving learning and prediction capabilities. The narrative shifts to examples of AI with machine learning in addressing network issues, emphasizing categories such as classification, optimization, and prediction. It presents AI as crucial for proactive network maintenance, highlighting how AI can answer key network management questions and improve operational efficiency by preventing known issues.

10:03

The narrative introduces OmniVista Network Advisor as an autonomous system aimed at real-time network monitoring and risk mitigation. It explains how the advisor uses AI and machine learning to identify, mitigate, and optimize network performance, emphasizing its capability to detect anomalies and propose actionable solutions. The presentation walks through the lifecycle of a network issue, from detection to resolution, illustrating how OmniVista can streamline operations and reduce the time spent on troubleshooting. It also touches on the integration of OmniVista with Alent's knowledge base for faster issue resolution.

15:05

🔧 Advanced Features and Real-World Applications

This part showcases OmniVista Network Advisor's advanced capabilities, including predictive maintenance and real-time alerts for network issues. It discusses the software's compatibility with Alent's networking products and its standalone operation independent of OmniVista network management tools. The presenter explains how the advisor offers detailed insights into network health and proposes enhancements for operational efficiency. Real-world examples illustrate the advisor's ability to detect and resolve network issues, such as loops and security threats, with minimal manual intervention.

20:08

🌐 Network Advisor's Evolution and Integration

Focusing on the future development of OmniVista Network Advisor, this section outlines plans for integrating the tool with third-party solutions through APIs and enhancing its AI and machine learning capabilities. It emphasizes the advisor's potential to offer predictive network management solutions, highlighting upcoming features aimed at improving network health monitoring and issue prevention. The narrative also explores potential use cases for the tool, including real-time adjustments to network configurations to maintain optimal performance and user experience.

25:11

💡 Conclusion and Q&A Session

The closing remarks summarize the capabilities and benefits of the OmniVista Network Advisor as an intelligent and autonomous network monitoring system. The speaker reiterates its role in enhancing network operations through real-time monitoring, risk mitigation, and quality of experience improvements. Following the presentation, the floor is opened for a Q&A session, inviting attendees to inquire further about the solution's features, integration capabilities, and potential impact on network management. The session concludes with an encouragement for attendees to engage with the Alent Enterprise team for further information or to participate in a demo of the OmniVista Network Advisor.

Keywords

💡AI (Artificial Intelligence)

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the webinar, AI is discussed as a foundational technology for enhancing network tools and operations. The presenter introduces AI as capable of reproducing human-like skills such as reasoning, learning, planning, and creativity, particularly in the domain of network management. AI's role in the Omnivista Network Advisor is highlighted as crucial for solving complex network problems, predicting network behavior, and automating remediation processes.

💡Omnivista Network Advisor

The Omnivista Network Advisor is presented as a new, AI-driven solution designed to enhance network monitoring, management, and optimization. It utilizes AI and machine learning to provide real-time monitoring, issue detection, and automated mitigation strategies. This tool aims to be a comprehensive solution for network administrators, offering proactive maintenance, predictive analytics, and seamless network operation enhancements. The webinar details its functionalities, including anomaly detection, automated troubleshooting, and integration with existing network management systems.

💡Machine Learning

Machine Learning, a subset of AI, involves algorithms that enable computers to learn from and make decisions based on data. In the webinar, machine learning is mentioned as a key component of the AI solutions employed in network tools, particularly in analyzing telemetry data to improve network operations. The technology's capability to adapt behavior based on new data and past actions is underscored, illustrating its role in enhancing the predictive and adaptive capacities of the Omnivista Network Advisor.

💡Telemetry

Telemetry is the automated communication process by which measurements and other data are collected at remote points and transmitted to receiving equipment for monitoring. The script emphasizes the importance of telemetry in collecting relevant network information, such as logs, metrics, and events, which feeds into AI and machine learning systems for better prediction and reaction to network events. Telemetry's role in enhancing network monitoring and management is highlighted as vital for the efficiency of AI-driven network solutions like the Omnivista Network Advisor.

💡Predictive Maintenance

Predictive Maintenance refers to the technique of predicting when network equipment will fail or encounter issues, allowing for preemptive corrective actions. The webinar discusses how the Omnivista Network Advisor leverages AI and machine learning for predictive maintenance, aiming to reduce operational downtime and improve network efficiency. By analyzing data and detecting anomalies, the solution can forecast potential issues, enabling network administrators to address them before they impact the network's performance.

💡Anomaly Detection

Anomaly Detection in network management involves identifying unusual patterns or behaviors that deviate from the norm, which could indicate potential problems. The webinar outlines how the Omnivista Network Advisor uses AI to enhance anomaly detection, providing immediate alerts and recommended solutions. This capability is crucial for maintaining network health and security, allowing for rapid response to mitigate risks.

💡Network Telemetry

Network Telemetry is specifically mentioned as the collection and analysis of data about the network's performance and operations. The concept is integral to the webinar's discussion on AI's role in network management, highlighting how telemetry data supports machine learning models in understanding and optimizing network behavior. This real-time data collection and analysis contribute to the predictive and proactive maintenance features of the Omnivista Network Advisor.

💡Quality of Experience (QoE)

Quality of Experience (QoE) refers to the overall satisfaction of a user with a service, particularly in terms of the network's performance and reliability. In the webinar, the Omnivista Network Advisor is shown to prioritize QoE by optimizing network configurations and responding to issues that could affect user experience. The tool's ability to adapt and optimize the network in real-time underscores its commitment to maintaining high QoE standards.

💡Real-time Monitoring

Real-time Monitoring is the continuous observation of the network's performance and conditions at the moment they occur. The webinar highlights this feature of the Omnivista Network Advisor, noting its importance for immediate detection of issues and swift response. This capability allows network administrators to keep abreast of network health, ensuring that any potential problems are addressed promptly to avoid impact on network operations.

💡API Integration

API Integration refers to the process of enabling separate software applications to communicate with each other via APIs (Application Programming Interfaces). The script discusses the Omnivista Network Advisor's future capabilities for API integration, which will allow it to work in conjunction with third-party tools and systems. This integration facilitates a more cohesive and flexible network management ecosystem, enhancing the tool's utility and adaptability to various network environments.

Highlights

Introduction to the webinar on AI solutions for network management by Alent Enterprise experts.

Overview of AI's impact on networks, introducing OmniVista Network Advisor.

Definition and importance of artificial intelligence in network management.

Explanation of machine learning and its application in networking tools.

Significance of network telemetry for enhancing AI solutions in networks.

Introduction to predictive maintenance in network management and its benefits.

Details on Alcatel-Lucent Enterprise's OmniVista Network Advisor solution.

The three core functionalities of OmniVista Network Advisor: identify, mitigate, optimize.

Explanation of the life cycle of an issue in network management.

Integration of OmniVista Network Advisor with existing IT infrastructure.

Comparison between traditional network management tools and OmniVista Network Advisor.

How OmniVista Network Advisor works independently of other network management platforms.

Future developments and API integrations for OmniVista Network Advisor.

Real-world application and benefits of using OmniVista Network Advisor.

Q&A session providing additional insights into OmniVista Network Advisor's functionality.

Conclusion and invitation for attendees to engage further with Alent Enterprise.

Transcripts

hi everyone and welcome this this

webinar is presented to you by alent

Enterprise experts and today we're

covering a very interesting topic so

with enri hi hello hello s

hello let's discover ad's latest

solution what can AI do for your network

with omnivista network advisor just a

few REM ERS uh today's session will last

about 45 minutes and before we start

this webinar is currently being recorded

if that's an issue for you then we

encourage you to disconnect now I'll

drop the presentation deck in the

handout section where you can download

it of course and note that all your

lines will be muted during the

presentation so during the session feel

free to ask or share any comments and

questions on the goto webinar control

panel you have a dedicated

section and andri will cover them at the

end we'll take a few minutes uh just at

the end of the presentation to answer

them so

enri I'll I'll leave you the

floor thank you Sandra thank you all to

attend this webinar so I will switch off

the camera to you can see better and be

focused on the

presentation so today we are here to to

talk a little bit about Hai and Hai in

the in the networks and networks tools

Hops and uh introducing also our new uh

technology our solution omn Vista

Network

advisor and um we will find what is this

solution is brand new Next month Wills

come up come out a new version

and uh I think it will be interesting

for all to you to learn a little bit

more and maybe to test and acquire this

solution for your

networks

so let me start with the slides and just

a small introduction to artificial

intelligence just some points just to

Nate what we are talking about and

defining the intelligence what is it uh

it is the ability of a machine to

reproduce humanlike

skills uh as such as reasoning learning

planning and creativity and you know

that someone's of you already tested I'm

sure of that so the Technical Systems

can perceive their surroundings and

solve problems the constant adaptation

of its behavior is based in previous

actions and new data collected and learn

it so based on that is what ai ai is

defined uh with a simple mode so

sha

GPT so in this slide we have another

important AI system uh this shot GPT is

a conversational AI model and it was

developed by open ey in the final of

2022 it is expected to have a similar

impact as the internet or the social

media had uh in the this modern world so

a big impact a big change in uh our

lives so it uses large language models

uh so these larg language models use

neural networks and are training to

predict the next word and requires a big

amount of text so we are talking about

billions of words inserted to to

increase the the quality of the answers

and the interaction with human

being so machine learning another

important another important Point uh is

in the networking High Hopes tools so

the

collecting the collection of relevant

information and data through Telemetry t

is very important for this area uh

coming also for another sources uh it

will do a better learn and uh a better

prediction to have a better reaction to

any events in the network so this is

very important for the these kind of

tools so here and because machine

learning is one of the AI flavors using

networking AI Solutions the explanation

how it works and how is fit to to

improve the efficiency of these models

of these Solutions so the importance of

that of the quality of data collected is

is

fundamental um so if you want to have

better outputs from the these AI

Solutions you need to have good info

collected Telemetry is one of that

source of data okay you have the

definition in the left in the bottom so

logs Matrix events and traces could be

collected from multiple systems in the

network we are talking about uh access

points switches applications that are

installed in the

network and are classified as tmri so

this is the TMT and for this purpose uh

we collect that info the more accurate

quality and in real time that we obtain

the that Network Telemetry more the

solution will learn and predict and of

course react to any event in your

network with high quality and

faster

so here we can find some examples of AI

with machine learning and how it can

helps us to solve the day-by-day

networking problems and this is the near

future that we can find so here some

categories can can show to you what will

be these tools in your day byday in

midterm so categories as classification

optimization or prediction these are

some examples of this the the problems

that we'll face with

AI uh machine learning and with this

networks and Telemetry it will be

possible to answer to some questions and

and we can find someone's here um is

there a a denial service going on on the

on the network yes no what will be the

traffic next month uh what the

recommended configuration in my wireless

land to improve the quality of

experience so that's why wayi it's very

important it's a very important solution

and uh I think for you you need to to

test

and use it and maybe can be the next

tool in your network uh sorry for the

Spanish slide but the version that we

will share it will be in English

Okay

so just some figures to show what we are

talking about so these are some figures

related with the use of preventive

maintenance uh and the preventive

maintenance tools in the

networks uh beginning in the left we can

expect between 55 to

30% of operational Network working

efficiency

Improvement uh so when we have anomaly

detections this is more or less we can

improve in your networks and more than

10% of reduction in customer cases

reported to T when you have some

problems or to the partner uh also with

anomaly detections

do as a result of using these predi of

Maintenance

tools uh your company can speed up

operations by 20 times so you'll have

more time and you'll have real time

information to analyze analyze correct

and improve your network with these kind

of

tools um so now uh let's talk about what

is the omn Vista Network advisor and uh

this is a new solution the name is

Alcatel Len omniva Network advisor and

it is an intelligence and intelligent

and autonomous system that provides a

real-time network monitoring and alert

for potential risks and mitigation of

the network this is the goal so the AL

Omni Vista Network advisor intends to be

your companion in day by day in the

network

operations helping to decrease the risks

and maximizing the quality of experience

this is the propose of our solution omn

Vista Network

advisor and here are three points that

omnis Network

advisor um address identify mitigate and

optimize so beginning in the left

it can detect issues anomalies and

Trigger immediate

alerts understand the normal Network

Behavior with ar artificial intelligence

and machine

learning in the

mitigation it propos a solution and the

ability to fix the issue in only one tap

get

Corrections and uh also creative actions

okay automatically

and can implement it just in one top in

just some seconds in the optimization

part allows

network uh to be fine turning for better

quality of experience and also with

third party Solutions like rainbow Cass

can collaborate to react faster and

connect to applications and other AIS to

help to increase the quality

of the info and answers of this tool

this is the propose so when we talk

about the the Improvement that omniv

Vista Network advisor can apport to all

a issue cycle when you have a problem in

a network a issue these are the cycle of

the life of that issue so beginning in

the first one in the phase of production

the capacity to audit configurations

collect data and inform the it

management team helps in early in early

detections of any issue and consequently

can be taken in place a FAS remediation

suggest by the tool so in phase two when

a network event is detected the admin is

notified and suggestions for remediation

are made at the same time it can be

taken in place relevant data collection

to Port the case in our hel T so it will

be possible to touch the button and get

the logs in real time when the problem

is happening not after and sometimes

after it the chance will not uh appear

so you will not have that possibility to

collect the logs because the networks

maybe is down so this is an important uh

help that this tool can can apport in

phase three when the El is Ed it will be

possible in all the cycle of this the

case the capture of Perman permanent

information and pertinent one by this

tool and uh always monitoring the

network so this tool continue to to to

get info to continue to feed the T the

engineers to try to solve the problem in

the final to here in the stage for when

the problem is closed uh the results and

the Barton can give a better support and

feedback to the T

Engineers uh so this will decrease the

waste of time and number of interactions

so very important the interactions with

the tack sometimes they can take hours

or days to to to have the solutions so

all these cycles never hand as you know

and uh is a never ending St process proc

or story when the omnivista network

advisor is in place so it will help in

all these phases just to you understand

also when you have a problem or network

advisor can help you to you and your

partners that are giving support to you

so when we talk about support and

t uh and uh also the T interaction in a

issue that occurs in the network in your

our Network we know that near 66% of

that issues are

recommended uh uh configurations and uh

they are already known are already known

from us in our T and that repository are

in the elite knowledge base is the name

where we can find that entes that cases

a leak knowledge base and normally is

accessible to the partners the partners

that sell and support your networks so

normally the procedure from the TCH

Engineers when a new ticket is open is

to verify if the answer or solution

already exist if not it creates a new

entrance in a in a knowledge base okay

um that will help other customers in new

open cases so this is the way that we

work here the omnivista network advisor

can use the elite knowledge base to

proactively help the it manager and the

partner with recommended configuration

and work around Basit what is saved in

our knowledge base so it will save time

and uh also save

interactions and uh it will help to

mitigate that issue that event quickly

is Network advisor will use also that

knowledge that we already

have so this is an a real example see

this is a

university we don't have here the name

but is uh our one of our customers and

um we can see in the first graphic that

from all the issues that

happen more than 50% was known by the

support by our support so half of uh the

issues was known um so when using a tool

like the network advisor a preventive

maintenance can be taken because near

66% of the knowing issues can be avoided

to happen Network advisor will be there

to advise you and advertise you that

something is known and you can correct

before the problem occurs so this is the

consequences so a substantial less

impact on user and much less it effort

in the troubleshooting so you have more

time for other tasks so this goal of the

this tool and Alcatel lent Enterprise as

a company is to provide a preventive

maintenance tool and we pretend to

achieve uh a zero impact in our

customers for all the already known

issues so everything that you know can

be used in real time in our customers

that if he save it in our knowledge base

um this is something important because

we can focus only on the issues that we

don't know that are new and where we

need to address our

energies so the value proposition of

network advisor let's explain what is it

so as an overview the omniva network

visor is a network maintenance tool okay

and uh is a a

brick uh in the a software service that

and a software service and it includes

uh the AI and machine learning

development and it will be powered that

development by El okay by us we will

develop that part so omniva Network

advisor applications uh is compatible

with the

Al Omni switch lar switches and Omni

access Stellar Wireless lar portfolio

Okay Both Worlds that we sell lar

switchings and uh Stellar uh access

points in the future with the a network

management solution that we have the omn

Vista we will be uh integrating this

tool and be compatible with them with

omnivista Next Generation okay this is

what we pretend to develop and integrate

it the tool of management of our

networks this new service includes the

omnivista network advisor software that

will help to download and install uh in

the customer premises so it will works

on premises and uh when you install it

start to Works after some minutes so

here describing the preventive

maintenance service you can say that it

provides real-time network monitoring

and alerting to minimize risks and

maximize the quality of

experience what the network preventive

maintenance means is being on the top of

fixes catching problems before they

appear and taking all around proactive

care of customer

Network here our goal is keep networking

operations running smoothly on a daily

basis this is the proposal so in a short

term and you can see here what we

pretend and what omniv Vista will be

able to do is to fix aown network issue

in mantap detecting network issues and

apply solution remediation

instantaneous with the 24 by7 uh

monitoring your network take a less

effort to capture automatically social

data to troubleshoot an issue ensuring

the compliance and Cay troubles

benchmarking the network the performance

and informing on the

evolution in the

midterm we because we understand your

network Behavior with historical data uh

is very important so we need to collect

that information informations and data

so we'll include analysis and dashboards

to study the complete picture of the

Network

Health uh also we want to cover that

know withal intelligence and machine

learning this will give the possibility

to predict Network behaviors with neural

network and also the Telemetry that I

talked

before uh to try to go in the direction

of predictive manness so we here are not

talking about preventive but now

predictive so models that will predict

something that is not

known better than slides talking about

the what is the network advisor let's

see some use cases and just to you

understand what is the solution when is

in the end of the it manager this is a

smartphone this is what it will see when

is uh anywhere on the company at home at

weekend you have this smartphone with

rainbow the freem new one and the the

solution will be able to identify and

mitigate any issue in this example this

is the how we can fix a network issue in

one tap so the if here the network

advisor will detect that issue and

directly in this smartphone you can

apply a solution here the example is a

loop and that Loop was detected in a

switch with this IP address this is the

identification and now the mitigation is

uh the how Network advisor can help to

fix this solution so a recommendation is

done and this recommendation is disable

the link aggregation Port where the loop

is is happening you have also the

capacity to uh demand to the network

advisor to remember your action so any

time that this situation will occur the

network advisor will remediate

automatically you need you don't need to

touch so is your decision a very

important point also is you can get and

have the chance to collect locks and you

collect locks at the time that the

problem and issue is happening if you

are at home if you are in the weekend

wherever you are you can get it and that

logs will be saved on the server of

omnivista network advisor even if you

lost connection to the network the logs

will be there to open the case so now

another example in the

troubleshooting so because the Network

advisor captures

data uh and that data normally is

essential to troubleshoot is always

monitoring is important in these

situations to collect logs like like I

explained so uh it was detected here an

anomaly some disconnections and the

recommendation collect locks of course

you can ignore because may you know you

may know what is the problem if you

don't know collect logs and the answer

will appear appear in your smartphone

your tablet Etc uh that the Lots logs

was collected and saved in the server

and also the possibility to enter in the

our knowledge base in the ticket in

the in the the case that is similar to

this situation and maybe can help and is

there is the solution for what is

happening in your network isy simple now

another one detection and reaction to

security treats we are talking about

Security in this situation we have a

deny of service that was attacked and

the here recommendation is block the

Mark or also disable the port if we

block the Mark we are being more precise

even the the person go to another port

and try to do that kind of attack the

solution if you touch here will remember

the the situation and you'll block the

Mark if you are in the University if

he's a student um student if he moves

from room to another room he will not be

able to concretize the the attack after

you touch in Block the mark this is the

example always the get logs to try to

understand if is a real attack or a

problem in a server Etc that are

injecting this kind of traffic

another situation is the possible

provisioning errors and the proposed

Corrections Network advisor can propose

configuration to solve problems in this

case a spanning Tre issue has been

detected in a villan so someone for

forgot to uh configure the spanning tree

in a switch in a specific villan maybe

the other ones are correct but this one

not so

you can have the chance to by your

smartphone touch enable spanning tree

and the lines of spanning tre

configuration will be configured on the

switch

simple monitoring so here the shows how

the omniva network advisor is always a

benchmark your network collecting data

and because a threshold was pass it and

uh because that Network advisor detect

that the storm uh are happening in your

network so here to avoid big problems

with that amount of traffic you can

disable the port if it's something that

is uh only something that is happening

now and you know what is is just a FTP a

big one or okay you can ignore but this

is the propose also always is monitoring

your

networking of course to keep track uh of

that work and you get the the info of

your network reports are very important

so we are able today to get daily or

weekly reports and send them by mail per

example and also the kpis collection

about the issues detected

issues that happen What was corrected

automatically by Network advisor so with

that data you can create a a report and

a presentation to show to your direction

team to see how to they see how the

network is uh evaluating evaluating

developing or the problems that that net

work Network have and it will help in

the decisions of the future so it will

help also with these reports in your

decisions so the evolution in what we

intend to develop in uh future use cases

is to integrate with thirdparty tools so

Network advisor with apis it will be

possible to be integrated with third

party tools here is an example with our

rainbow workflow so we get info from

Network advisor issue Etc and we can

trigger uh ticket servers uh to open a

case in a partner that give us the

support for example or if is a for

example a security issue it can trigger

our seas and open a video conference

only with the in a bubble with the

security people that know security and

that kind of of cases if is operational

situation because a power supply or

something is is happening or something

is happening in terms of uh support of

the hardware Etc can open uh a call or a

video conference with the operational

team very simple is what we intend to do

with some Professional Services but a

open tool that can apply that uh so we

pretend to have also always a quality of

experience in our Network and for that

uh Network advisor with the Benchmark

and prediction will be able to

suggest uh Corrections in your networks

and configuration to inj just in time to

you keep your normal behavior of your

network in this case in a wireless LAN

the ration of quality of experience of

the access to the

wireless um so this can be a case in a

hotel when lots of people uh comes to

the lobby at the same time and they

start to connect to the access points

here Network advisor can give some

recommendation changing the parameters

of the radio in the access point and

normally are Tre that we can change and

this will in real time solve that

situation when the people

disappear it can turn turn on again the

normal uh configuration of that

parameters in the access point this is

how the tool can help in real time in

these situations in uh quality of

experience and maintaining it so now as

a conclusion and before

Q&A

so what is the network advisor so is a

our new tool and uh is an intelligence

and autonomous system that provides a

real-time network monitoring and alerts

for potential risks and mitigation of

the

network it intends to be your companion

in the dayby day in your network

operations helping to decrease the risks

and maximize of course the quality of

experience uh we

are we are launching in the next uh

month uh the new version and uh it will

have some improvements and I think it's

time because of that to you Sandra maybe

to launch

your uh questions and

also yes thank you very much enri I just

dropped the the presentation

deck uh in in in the handout section and

now I'm just asking you to take few time

uh few minute to to answer this quick

poll while we can and then we can start

sorry to cover any questions so we still

have time to ask your question um or if

you have any comments about the solution

uh please write them in the dedicated

section yeah

please uh answer to this pool it will be

very important for us and uh I think uh

it is a chance for you uh to engage with

us this this presentation these

questions uh Q&A that we'll so in the

middle when you are answer just to

inform all the all the attendance so

keep do some questions not so technical

because I don't have the technical team

here but I can address uh more or less

almost the questions and the ones that

we cannot answer today I will answer

after okay so try to think on on some

questions some doubts and I will be

here yes so

um hold on I think we have one here uh

is the offer as a

service I will close the poll soon you

still have a few minutes okay so if this

is as a service yes it's simple so if

you want to use Network advisor you have

only two part numbers one part number

for a switch and one part number for

access point for one year of use and in

that part number if you have 10 switches

and 10 access points you'll need 10

switches 10 uh part numbers of switch

for Network advisor and then part

numbers for the access point for one

year you have the service and you have

the all the support included for Network

advisor you don't need to to buy the

support of network advisor apart

yes one here but we'll increase the that

that chance for three and five next year

all right

um someone is asking the difference

between omnivista Network advisor and

the um traditional omnivista yeah so yes

omnivista Network management manage

manage the wireless land and Stellar at

um access points and the switches Omni

switches and is a normal management tool

so uh we have the 2500 we have Cyrus on

the cloud we have that flavors this is a

specific tool for this propose okay

we'll interact with them in the next

release uh in the in beginning to to get

the the amount of switches that we want

to to be monitoring by the network

advisor and in the future we'll

integrate also uh data telemetry

uh from Wireless Lear and after from

switches to help in the uh Aral

intelligence and the Machine learning

that will develop on omniv Vista Network

advisor we already have that some

functions of AAL intelligence in our

knowledge base to better uh search the

the cases that will apply in your case

when you are facing a issue and we'll

develop also based on machine learning

that's why I introduced that concept

ceps in the beginning to solve the the

the problems based on the Telemetry

collected in real time all the time from

your

network so two flavors man managing the

switches the access points your network

and this uh Ops based on AI to help on

the day by

day thank you enri and we have more

questions so um Can Network can can

omnivista Network advisor work without

omniv Vista and can it work with any

other management platform platform so

omnivista Network advisor uh is

independent is installed on premises can

interact with

our um management tools 2500 and cus and

in the future the Next

Generation but is independent don't need

them okay can interact can get more info

from them but is is a standalone

solution with apis and in the next

release next year 2.0 will increase the

the number of apis and the quality

you'll interact with third party tools

everything that you can get not the

Direction but everything that you can

get and the info collected by Network

advisor will be able to be seen in the

third party tools that maybe you already

have on your network based on apis and

you need to program

that so that's great because you've

covered the the last question it's a two

question in one uh the last question was

does it interact with ob 2500 and or

only s so the answer is yes yes

after day eight of December the version

1.1 we'll interact beginning just only

now to get the number of switches and

the to help us to to to configure in a

in a easy way uh the that switches on

the network advisor and access points

and after with tm3 in the final of next

year we'll start the AI and machine

learning development

um any question

more uh I think no I'm just checking so

can no more questions okay s just about

to pull that you answer so we have lots

of info and uh if you want to to use

acquired or Test please uh contact us

normally the tool have 32 days of demo

when you install and you can use it and

uh see the advantage that I explained

here and uh maybe to acquire the

solution is not expensive and will help

a lot in terms of time and maintain and

acknowledge of your maintenance uh of

your network so I give you that advice

and challenge to

you yeah thank you very much to for your

ATT tenancy thank you and I gave her

this very insightful presentation and uh

you can watch the replay if you missed

out on some info of course you can reach

out to Enrique and Al Enterprise team

for any questions and if you of course

like enri said if you've answered yes I

depending on your answer on the polls we

we will contact

you thank you thank you very much

everyone have a nice day bye

bye