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500-710 Cisco Video Infrastructure Implementation mission |

500-710 mission - Cisco Video Infrastructure Implementation Updated: 2023

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Exam Code: 500-710 Cisco Video Infrastructure Implementation mission November 2023 by team

500-710 Cisco Video Infrastructure Implementation

Test Detail:
The Cisco 500-710 exam, also known as Cisco Video Infrastructure Implementation, is designed to validate the knowledge and skills of professionals in implementing video infrastructure solutions using Cisco technologies. Here is a detailed description of the exam, including the number of questions and time allocation, course outline, exam objectives, and exam syllabus.

Number of Questions and Time:
The exact number of questions and time allocation for the Cisco 500-710 exam can be obtained from the official Cisco exam documentation. Typically, the exam consists of multiple-choice and scenario-based questions and is completed within a specified time limit to assess the candidate's understanding of video infrastructure implementation using Cisco technologies.

Course Outline:
The course for the Cisco 500-710 exam covers various Topics related to Video Infrastructure Implementation. The course outline may include the following key areas:

1. Cisco Collaboration Infrastructure Overview:
- Understanding the Cisco collaboration architecture.
- Identifying the components and deployment models of Cisco video infrastructure.
- Overview of video conferencing standards and protocols.

2. Cisco Expressway:
- Deployment and configuration of Cisco Expressway.
- Secure traversal of firewall and NAT.
- Collaboration edge architecture.

3. Cisco Meeting Server:
- Deployment and configuration of Cisco Meeting Server.
- Creating and managing conferences.
- Integration with other Cisco collaboration products.

4. Cisco TelePresence Management Suite (TMS):
- Deployment and configuration of Cisco TMS.
- Managing endpoints and conferences.
- Provisioning and scheduling video resources.

Exam Objectives:
The objectives of the Cisco 500-710 exam are to assess a candidate's proficiency in the following areas:

1. Understanding the Cisco video infrastructure components and deployment models.
2. Configuring and managing Cisco Expressway for secure collaboration.
3. Deploying and configuring Cisco Meeting Server for video conferencing.
4. Managing video resources using Cisco TMS.

Exam Syllabus:
The exam syllabus for the Cisco 500-710 exam covers the Topics mentioned in the course outline. The syllabus may include questions related to Cisco collaboration architecture, Cisco Expressway deployment and configuration, Cisco Meeting Server deployment and configuration, Cisco TMS deployment and configuration, collaboration edge architecture, video conferencing standards and protocols, and security considerations.

Candidates should refer to the official Cisco exam documentation and study resources for accurate and up-to-date information on the exam format, content, and requirements. It is recommended to allocate sufficient time for exam preparation, including studying the course materials, practicing video infrastructure implementation concepts, and gaining hands-on experience with Cisco collaboration technologies.
Cisco Video Infrastructure Implementation
Cisco Infrastructure mission

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Cisco Video Infrastructure Implementation
Question: 84
Which three hybrid connectors allow Cisco Spark to be integrated with an on-premises
solution? (Choose three.)
A. Calendar Connector
B. Call Connector
C. Calendar Aware
D. Directory Connect
E. Directory Service
F. Calendar Service
Answer: A, B, D
Question: 85
Which two options are call-control devices in a Cisco Collaboration environment?
(Choose two)
A. Cisco Unified Communications Manager
B. Cisco Telepresence Endpoint
C. Cisco Meeting Server
D. Cisco Expressway
E. Cisco Content Server
Answer: A, D
Question: 86
Which Cisco WebEx products can support calls from end points and WebEx clients?
A. Cisco WebEx Meeting Center
B. Cisco WebEx Training Center
C. Cisco WebEx Support Center
D. Cisco WebEx Event Center
Answer: A
Question: 87
Which two primary protocols does TMS use to communicate with endpoints and
infrastructure? (Choose two.)
D. H.323
Answer: C, E
Question: 88
Which two methods can be used in TMSto schedule conferences? (Choose two.)
A. Administrative Tools > Configuration > Conference Settings
B. Booking > New Conference
C. Scheduling > New Conference
D. Reporting > Conferences
E. Monitoring > Conference Control Center
Answer: A, B
Question: 89
Which two statements about the assignment of endpoints to a subzone are true? (Choose
A. A registration restriction rule must be configured that matches the endpoint's alias or
IP subnet.
B. Endpoints making a traversal call must be registered to the traversal subzone.
C. By default, all endpoints are registered to the default subzone.
D. By default, all endpoints are registered to the neighbor subzone.
E. A subzone membership rule must be configured that matches the endpoint's alias or
IP subnet.
Answer: C, E
Question: 90
Cisco Meeting Server has several components that can be enabled to expand the
functionality of the server. Which component is used for interworking between different
communication protocols?
A. web bridge
B. load balancer
C. TURN server
D. H.323 gateway
E. SIP edge
F. call bridge
Answer: D
Question: 91
Which configuration on the Expressway is needed for a SIP end point to register?
A. active neighbor zone between the end point and the Expressway
B. SIP authentication enabled
C. Registration restriction policy in Allow mode
D. SIPdomain
Answer: D
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Cisco Infrastructure mission - BingNews Search results Cisco Infrastructure mission - BingNews Cisco leans on partners, blueprints for AI infrastructure growth

Cisco has a variety of new partnerships and programs aimed at helping enterprises build AI-ready infrastructure.

Cisco is taking a collaborative approach to helping enterprise customers build AI infrastructures.

At its exact partner summit, Cisco talked up a variety of new programs and partnerships aimed at helping enterprises get their core infrastructure ready for AI workloads and applications.

"While AI is driving a lot of changes in technology, we believe that it should not require a wholesale rethink of customer data center operations," said Todd Brannon, senior director, cloud infrastructure marketing, with Cisco's cloud infrastructure and software group.

As AI projects move from science projects in an organization's backroom to mission-critical applications, enterprise infrastructure and operations teams are being challenged because they are dealing with new workloads running on familiar infrastructure but with new requirements, Brannon said.

"The idea is that we want to help our customers deploy and manage AI workloads efficiently, find that right mix of acceleration, and not over provision or leave stranded resources or create new islands of operations," added Sean McGee, cloud & data center technology strategist with Cisco.

One of the ways Cisco intends to help customers is by offering a suite of validated designs that can easily be deployed as enterprise AI needs evolve. 

The company recently announced four new Cisco Validated Designs for AI blueprints from Red Hat, Nvidia, OpenAI, and Cloudera to focus on virtualized and containerized environments as well as converged and hyperconverged infrastructure options. Cisco already had validated AI models on its menu from AMD, Intel, Nutanix, Flashstack and Flexpod.

The validated designs allow customers to use these models and fine tune what they want to do for their business, McGee said.

Cisco is building Ansible-based automation playbooks on top of these models that customers can use with Cisco's Intersight cloud-based management and orchestration system to automatically inject their own data into the models and build out repositories that can be used in their infrastructure, including at the edge of the network and in the data center, McGee said.

Cisco's Intersight package manages a variety of systems from Kubernetes containers to applications, servers, and hyperconverged environments from a single location.

"Utilizing Intersight and our systems stack, customers can deploy and manage AI-validated workloads," Brannon said. "The message is that we don’t want our customers and partners having to completely rethink the operation side, even though they’re having to rethink some things on the GPU provisioning side for AI, for example," Brannon said.

In addition, as Cisco gets feedback from its customers on AI-specific features or additional validated designs, it will augment Intersight with new features, Brannon said.

Also, over time these models will evolve as more data is used to tune them, and customers can easily adjust them to fit the needs of their enterprise infrastructure, McGee said. "Our partners, too, can utilize these models to significantly expand their services. [They can] really provide them a head start and relieve a lot of the engineering expense and time that they need to put these services together for customers."

Cisco recently unveiled Data Center Networking Blueprint for AI/ML Applications that defines how organizations can use existing data center Ethernet networks to support AI workloads now.

A core component of the data center AI blueprint is Cisco's Nexus 9000 data center switches, which support up to 25.6Tbps of bandwidth per ASIC and "have the hardware and software capabilities available today to provide the right latency, congestion management mechanisms, and telemetry to meet the requirements of AI/ML applications," Cisco stated. "Coupled with tools such as Cisco Nexus Dashboard Insights for visibility and Nexus Dashboard Fabric Controller for automation, Cisco Nexus 9000 switches become ideal platforms to build a high-performance AI/ML network fabric."

Cisco has also published scripts so customers can automate specific settings across the network to set up this network fabric and simplify configurations, Cisco stated.

Tue, 14 Nov 2023 00:07:00 -0600 en-US text/html
Cisco offers light guidance as new product orders slow, sending its stock lower

Shares of Cisco Systems Inc. fell more than 11% in extended trading today as the company warned it will likely miss analysts’ expectations in its fiscal second quarter by a wide margin.

The company expects this to have a knock-on effect, and its forecast for the current fiscal year also came in low.

The disappointing guidance came in the wake of a solid earnings beat. The company reported first quarter earnings before certain costs such as stock compensation of $1.11 per share, with revenue up 8% from a year earlier to $14.67 billion. The results were better-than-expected, with analysts looking for earnings of just $1.03 per share on sales of $14.61 billion.

All told, Cisco reported a net income of $3.64 billion for the quarter, up from $2.67 billion a year earlier.

Cisco said its problem is that it has experienced a notable slowdown in new product orders during the quarter. This is because many of its clients are currently busy installing and implementing products that were delivered recently, over the prior three quarters, Cisco Chief Executive Chuck Robbins (pictured) said in a conference call with analysts.

During the COVID-19 pandemic, the company had been stuck with a backlog of unfulfilled orders caused by component shortages. But its supply chain constraints eased rapidly about a year ago as China exited its lockdown strategy, leading to a glut of product deliveries over the last four quarters. Now, customers have their hands full implementing all of those products.

“Our customers and our sales organizations have been very clear with us over the last 90 days that this is the issue,” Robbins said, though he also admitted that sales cycles are still longer than is usually the case.

According to Robbins, “customers are now taking time to onboard and deploy these heightened product deliveries,” hence the slowdown in new orders. He said it’s mainly larger enterprises, service providers and cloud customers that are facing these challenges, adding that the issue was “most pronounced in October.” On average, Cisco’s biggest customers are waiting to implement one to two quarters’ worth of shipped products, he added.

Cisco had a good quarter, but is now suffering from its post pandemic high, when it was finally able to deliver pandemic orders it could not fulfill due to supply chain challenges. Now that it has fulfilled those orders, the demand has weakened as enterprises are implementing and the channel reducing inventories. The good news is all product lines are growing, which has not been too often the case, and Cisco delivered approximately 1B more in profit on roughly 1B more in revenue, which means Chuck Robbins and team have kept costs constant and EPS per share are up a quarter. Let’s see if this trends continues.

Because of these customer issues, Cisco could only offer a much lower forecast than Wall Street analysts had been anticipating. Officials said they’re looking for earnings of between 82 and 84 cents in the second quarter, with revenue of $12.6 billion to $12.8 billion, implying a 7% decline from one year earlier. That compares very badly with the Street’s forecast of 99 cents pre share in earnings and $14.19 billion in sales.

For the full year, Cisco is reducing its revenue forecast while bumping up its view on earnings. The company now sees full-year earnings of between $3.87 and $3.93 on revenue of $53.8 billion to $55 billion. Previously, it had forecast a range of $3.19 to $3.32 in earnings and $57.0 billion to $58.2 billion in revenue. In any case, the new forecast is not great, as Wall Street is hoping for earnings of $4.05 per share on sales of $57.7 billion.

The after-hours stock decline masks the fact that Cisco delivered strong quarterly results, thanks to it finally being able to deliver pandemic-era orders that could not be fulfilled earlier, said Holger Mueller of Constellation Research Inc. “But now those orders have been shipped, it is faced with weakening demand as enterprise implement those products and the channel reduces inventories,” he explained.

Charles King of Pund-IT Inc. said Cisco has been caught on one of those “damned if you do, damned if you don’t situations”, because it did a great job in recovering from the pandemic-related supply chain chaos and has gotten back its manufacturing mojo. However, he said many of its customers have been slower off the mark. “Many are still struggling to deploy and configure the new kit they ordered months ago, so you can’t really blame them for slowing or stopping orders to deal with the backlog,” King said. “But investors appear to be blaming Cisco anyway, for failing to live up to analysts’ consensus. That may be short-sighted, but no one ever said that life, let alone the markets, are fair.”

In the longer term, Cisco’s prospects do look better. During the quarter, it announced that it intends to buy the data analytics and cybersecurity software giant Splunk Inc. in a bumper $28 billion deal, which would be its largest-ever acquisition. The move catapults Cisco, which is best known for its networking gear as well as other data center equipment, to the leading ranks of cybersecurity providers.

Robbins said at the time the deal was announced that the combination of Cisco’s and Splunk’s data would have real value for enterprises, allowing them to “move from threat detection and response to threat prediction and prevention.” He said it will enable Cisco to become one of the world’s largest software companies.

Besides its cybersecurity ambitions, Cisco has a lot of hope for artificial intelligence in the longer term. During the conference call, Robbins told analysts that his company believes it can win more than $1 billion worth of orders in fiscal 2025 for AI infrastructure from cloud providers alone. He said cloud providers are looking to move to “more of a standard, broad-based technology like Ethernet, where they can have multiple sources” to support AI networking workloads.

Mueller said it’s also notable that Cisco is running a tight ship in terms of its business expenditures. “Investors can be pleased that all of Cisco’s product lines grew during the previous quarter, which has not been the case too often,” he added. “That allowed Cisco to deliver approximately $1 billion in profit on almost $15 billion in revenue. That shows Cisco has kept its cost base constant, resulting in increased earnings per share. Cisco needs to continue this trend.”

The after-hours stock decline means that Cisco’s shares are now up just 12% in the year-to-date, trailing the wider S&P 500 index, which is up 17% for the year.

Photo: Fortune GLOBAL FORUM/Flickr

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Wed, 15 Nov 2023 09:55:00 -0600 en-US text/html
Cisco Networking Academy Helps Veterans With Career Transition Programs

Published 14 hours ago

Submitted by Cisco Systems, Inc.

Amy Cooper headshot

Defense personnel are often unsung heroes—potentially putting their lives on the line to serve their communities. Giving back to those who choose to serve, or are transitioning out of the armed forces, is clearly the right thing to do. We’re proud that Cisco Networking Academy partners with organizations around the world looking after the unique needs of current and former military service people.

Training-up down under

Soldier On is a not-for-profit organization delivering support services that enable current and former Australian Defence Force personnel—and their families—to lead meaningful civilian lives. It does this by providing psychology support services, employment support, education programs, and community-building activities.

Amy Cooper, CEO of Soldier On, is particularly aware of those needs—her father-in-law and partner are respectively former and current Australian Defence Forces personnel. Amy also sits on the Royal Commission into Defence and Veteran Suicide reference committee, which gives her an even greater insight into the challenges facing current and former veterans and their families.

In Australia, a Royal Commission is a public hearing, independent of government, with broad powers to summon witnesses or seize documents and receive public submissions. The Royal Commission into Defence and Veteran Suicide was established in 2021 to inquire into systemic issues and risk factors relevant to veteran deaths by suicide, or other lived experience of suicide risk factors, and to provide a systemic analysis of the contributing factors. To date, the Commission has received more than 4,000 submissions.

Unique challenges

“One of the interesting pieces that have come out of the Royal Commission is the fact that around 80 percent of the veterans go on to have really successful civilian lives,” says Amy. “Unfortunately, 20 percent face really significant challenges.”

She says this is significant because an increasing number of service people are transitioning out of the armed forces. “Those numbers have traditionally tracked around the 5,000 mark,” she says. “This year it’s anticipated it will be closer to 7,000 people making that transition, and that number has risen over the last three years.”

“We’re also seeing trends with younger veterans discharging, so from an increased number from 25-year-olds right up to mid-30s, which changes the nature of the support that might be required for transitioning veterans.”

Soldier On is supporting around 11,000 service people, veterans, and their families this year, with programs designed to aid with health and wellbeing, employment support, and education, as well as helping make connections within the community.


“What attracts people to serve their nation is often very values-driven,” says Amy. “It’s about being able to serve and support the community and often they’re looking for roles that have that same altruistic service or are an intrinsic value to them.”

“Cisco Networking Academy is a strong part of our mission, particularly for our veterans and family members to thrive,” she says. “It is really focused on that positive aspect of being able to offer practical support through a range of education opportunities that the partnership provides… the courses have been a great opportunity to get many of our participants into the IT industry.”

“The very nature of the program, being very skills directed, provides good options for participants as they balance serving, or starting to think about that transition time, which is often a very busy time with relocating,” says Amy. “I think that’s a tremendous investment in veterans and their families.”

Helping veterans around the world

Soldier On is not alone in its mission to help veterans transition into new careers. In the UK, TechVets is another Cisco Networking Academy partner that helps more than 20 people per month to start new careers in IT. TechVets was founded to address a fast-growing skills gap with the rise of tech, and a national issue with unemployment and underemployment within the British Military Forces community.

And in the US, Cisco—which has consistently been recognized as a Top 10 Military Friendly Employer—has a range of veteran programs to assist veterans transitions into meaningful IT careers, including Onward to Opportunity, a program run by Syracuse University’s D’Aniello Institute for Veterans and Military Families (IVMF) to help service members, veterans, and spouses on their journey to meaningful employment after military service.

IVMF is also a Cisco Networking Academy partner, dedicated to serving military personnel and part of CyberVetsUSA, a fully-sponsored “veterans-first” workforce development initiative, do amazing work helping veterans transition into in-demand tech jobs.

Cisco also runs CX Apprenticeship Programs in the US and India to develop networking skills for non-traditional candidates leading to the opportunity to interview for the highly technical, customer-facing role of a Technical Consulting Engineer in Cisco’s Customer Experience organization. Around a third of the current cohort are veterans.

Cisco Networking Academy success stories

In France, Arnaud found he wasn’t academically-inclined and joined the Army, where he realized that his colleagues’ lives depended on reliable communications. After serving his country, Arnaud knew his future was in IT, and after undertaking Cisco Networking Academy training now works for a French ISP as a Network Engineer.

Vanessa was in the Brazilian Army while doing postgraduate studies in Computer Networks. Unfortunately, that knowledge wasn’t required for her job. After leaving the Army she became interested in cybersecurity, eventually taking the CyberOps Associate course with Cisco Networking Academy and landing a job as a cybersecurity analyst.

Michael joined the fire service to contribute to his community, but was called up twice to serve in Iraq. An injury ultimately ended his firefighting career, leading him to pursue a career in cybersecurity incident response. Through Cisco Networking Academy training, Michael has found a new passion in the field, driven by his commitment to service and continuous learning.

Transition to tech with

Cisco Networking Academy

View original content here.

Thu, 16 Nov 2023 04:23:00 -0600 en text/html
Cisco Systems Inc CSCO

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Thu, 16 Nov 2023 07:01:00 -0600 en text/html
How ready are Indian businesses for the AI era?
Businesses across the world are on a mission to leverage and deploy artificial intelligence (AI) for better efficiency and improved outcomes. How ready are Indian businesses to get ahead in the race?

The major pillars of readiness are strategy, infrastructure, data, talent, and governance. While Indian businesses do well in terms of strategy and talent readiness, gaps remain in infrastructure, data and governance readiness.

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Overall, according to to the Cisco AI Readiness Index 2023, only 26% of organisations in India are fully prepared to deploy and leverage AI – but this is higher than the global average of 14%. 42% are moderately prepared, 31% have limited preparedness, while 1% are unprepared.

Sectors like technology services, finance and retail tend to be better prepared, while media and communications, education, transportation etc. tend to be under-prepared.

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Thu, 16 Nov 2023 04:17:00 -0600 Annapurna Roy en text/html
Cisco Launches New Research, Highlighting Seismic Gap in Companies’ Preparedness for AI

Toronto, Nov. 14, 2023 (GLOBE NEWSWIRE) -- News Summary:

  • Ninety-six per cent of organizations in Canada reported that the urgency to deploy AI-powered technologies has increased in their company in the past six months.
  • Considerable gaps exist across six key business pillars — strategy, infrastructure, data, governance, talent and culture — with only nine per cent of companies saying they are fully ready to integrate AI into their businesses.
  • Companies are racing against time as 55 per cent said they have a maximum of one year to deploy their AI strategy or else it will have a negative impact on business. 

Toronto, Canada, Nov. 14, 2023 — Only nine per cent of Canadian organizations are fully prepared to deploy and leverage Artificial Intelligence (AI)-powered technologies, according to Cisco’s (NASDAQ: CSCO) inaugural AI Readiness Index released today. The Index, which surveyed over 8,000 global companies, was developed in response to the accelerating adoption of AI, a generational shift that is impacting almost every area of business and daily life. The report highlights companies’ preparedness to utilize and deploy AI, showcasing critical gaps across key business pillars and infrastructures that pose serious risks for the near future.

The new research finds that while AI adoption has been slowly progressing for decades, the advancements in Generative AI, coupled with public availability in the past year, are driving greater attention to the challenges, changes and new possibilities posed by the technology. While 78 per cent of respondents believe AI will have a significant impact on their business operations, it also raises new issues around data privacy and security. The findings show that companies experience the most challenges when it comes to leveraging AI alongside their data. In fact, 83 per cent of respondents admit that this is due to data existing in silos across their organizations. 

However, there is also positive news. Data shows that companies in Canada are taking proactive measures to prepare for an AI-centric future. When it comes to building AI strategies, 95 per cent of organizations already have an AI strategy in place or in the process of developing one. In this category, over two thirds (68 per cent) of organizations are classified as either Pacesetters or Chasers (fully/partially prepared), with only six per cent falling into the category of Laggards (not prepared). This could be driven by the fact that most (96 per cent) respondents said the urgency to deploy AI technologies in their organization has increased in the past six months, with IT infrastructure and cybersecurity reported as the top priority areas for AI deployments.

“Canada is experiencing a significant gap in its ability to adopt, deploy and capitalize on AI’s full potential. Business leaders must think beyond the here-and-now, looking ahead to their needs and building the infrastructure to match,” said Shannon Leininger, President of Cisco Canada. “Businesses need to holistically consider the elements of AI readiness so that we can not only take hold of all that AI has to offer, but do so responsibly.”

Some of the most significant findings include: 

  • URGENCY: Businesses know they must act. Fifty-five per cent of respondents in Canada believe they have a maximum of one year to implement an AI strategy before their organization begins to incur significant negative business impact. 
  • STRATEGY: Step one is strategy, and organizations are well on their way. Sixty-eight per cent of organizations were benchmarked as either Pacesetters or Chasers, and only six per cent were found to be Laggards. Additionally, 93 per cent of organizations already have a defined AI strategy in place or are in the process of developing one, which is a positive sign, but shows there is more to do.
  • INFRASTRUCTURE: Networks aren’t equipped to meet AI workloads. Ninety-five per cent of businesses globally are aware that AI will increase infrastructure workloads, but in Canada only 33 per cent of organizations consider their infrastructure highly scalable. Over a half (55 per cent) of companies have moderate or limited scalability when it comes to meeting new AI challenges within their current IT infrastructures. To accommodate AI’s increased power and computing demands, over two thirds (79 per cent) of companies will require further data center graphics processing units (GPUs) to support current and future AI workloads.
  • DATA: Organizations cannot neglect the importance of ‘AI-ready’ data. While data serves as the backbone needed for AI operations, it is also the area where readiness is the weakest, with the greatest number of Laggards (18 per cent) compared to other pillars. Eighty-three per cent of Canadian respondents claim some degree of siloed or fragmented data in their organization. This poses a critical challenge as the complexity of integrating data that resides in various sources and making it available for AI implications can impact the ability to leverage the full potential of these applications.
  • TALENT: The need for AI skills reveals a new-age digital divide. While 87 per cent of respondents said they are planning to invest in upskilling existing employees, 21 per cent alluded to an emerging AI divide, expressing doubt about the availability of enough talent to upskill. 
  • GOVERNANCE: AI policy adoption’s slow start. Only 29 per cent of respondents said they have highly comprehensive AI policies in place, an area that must be addressed as companies consider and govern all the factors that present a risk in eroding confidence and trust. These factors include data privacy and data sovereignty, and the understanding of, and compliance with, global regulations. Additionally, close attention must be paid to the concepts of bias, fairness, and transparency in both data and algorithms.
  • CULTURE: Little preparation, but high motivation to make a priority. This pillar had the lowest number of Pacesetters (four per cent) compared to other categories. Twenty-seven per cent of companies have not established change management plans yet and of those that have, 68 per cent are still in-progress. But motivation is high. Three quarters (75 per cent) say their organization is embracing AI with a moderate to high level of urgency, with only a few (three per cent) resistant to change. Boards (83 per cent) and Leadership Teams (84 per cent) are the most likely to embrace the changes brought about by AI with high or moderate receptiveness. However, there is more work to be done amongst employees as a third (33 per cent) of organizations report that employees are either unwilling to adopt AI or outright resistant.

Cisco AI Readiness Index 
The new Cisco AI Readiness Index is based on a double-blind survey of 8,161 private sector business and IT leaders across 30 markets, conducted by an independent third-party surveying respondents from companies with 500 or more employees. The Index assessed respondents’ AI readiness across six key pillars: strategy, infrastructure, data, talent, governance, and culture. 

Companies were examined on 49 different metrics across these six pillars to determine a readiness score for each, as well as an overall readiness score for the respondents’ organization. Each indicator was assigned an individual weightage based on its relative importance to achieving readiness for the applicable pillar. Based on their overall score,  Cisco has identified four groups at different levels of organizational readiness – Pacesetters (fully prepared), Chasers (moderately prepared), Followers (limited preparedness), and Laggards (unprepared).  

Additional Resources: 

  • Cisco Blog Post from Liz Centoni
  • Cisco AI Readiness Microsite 

About Cisco 
Cisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco. 
Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company. 

Tue, 14 Nov 2023 00:02:00 -0600 en text/html
What Explains the AI Gap Between Indian Cos and Researchers?

A staggering 75% of Indian companies express the belief that they have a mere year, at most, to have an AI strategy before their business faces repercussions. The urgency to deploy AI technologies has spiked in the past six months, with IT infrastructure and cybersecurity emerging as the top priority areas for AI deployments.

A hint of anxiety is also visible in the startup ecosystem with companies like Zomato, OYO, ixigo, Freshworks and others having launched generative AI-enabled products and services in their respective domains. Even a company like Zerodha, which initially had a no-AI policy, has decided to explore the spectrum. 

These sentiments were reflected in the AI Readiness Index conducted by Cisco. In the survey, it was observed that only 26% of organisations in India are fully equipped to deploy and leverage AI-powered technologies. The index, a product of a comprehensive survey involving 8,161 business and IT leaders from the private sector across 30 markets, talks about the AI readiness among companies with 500 or more employees.

On a positive note, Indian companies are actively taking strides to prepare for an AI-centric future. About 95% already have a sturdy AI strategy in place or are in the process of developing one. For instance, Project Indus by Tech Mahindra, which is an Indic-based foundational model, is expected to be launched in the next month or two. 

“As companies rush to deploy AI solutions, they must assess where investments are needed to ensure their infrastructure can best support the demands of AI workloads,” said Liz Centoni, executive vice president and general manager, applications, and chief strategy officer, Cisco. “Organisations also need to be able to observe with context how AI is being used to ensure ROI, security, and especially responsibility.”

Globally, 95% of businesses acknowledge that AI will ramp up infrastructure workloads. However, in India, only 39% believe their infrastructure is highly scalable. This same group contends with limited or no scalability when confronting new AI challenges within their existing IT frameworks.

To meet the power and computing demands of AI, over two-thirds (68%) of Indian companies anticipate the need for additional data centre graphics processing units (GPUs) to support current and future AI workloads.

GitHub Report Tells the Tale

GitHub’s State of the Octoverse 2023 report, which was released just a week ago, shows Indian developers’ trajectory in AI development. With a community of 13.2 million developers now active on GitHub within its borders, India has firmly established itself as the globe’s second-largest contributor to AI projects, after the United States.

Notably, 3.5 million new developers joined GitHub’s ranks in 2023 alone.

The significance of this surge is not lost on Sharryn Napier, VP of APAC at GitHub as she said, “Just imagine what India will be able to achieve if its 13.2M developers are empowered with AI. Not only will this transform enterprise innovation and productivity, but it will elevate developer happiness and make a substantial impact on India’s economy and society as a whole.”

Examining the data shows a consistent year-on-year growth rate of 148% within the Indian developer community, as underscored by GitHub’s projections forecasting India’s overtaking of the United States in total developer population by the year 2027.

This momentum signifies a seismic shift in the tech landscape due to AI, more specifically, generative AI. The stark difference between researchers and enterprise-level businesses in India highlights how tricky the AI scene in the country is.

India has always adopted new technologies launched in the West, but now with generative AI, things are changing. According to GitHub, India is now one of the “top contributors” to the global AI open-source ecosystem. This shift is a big deal showing India’s involvement in the AI landscape.

Thu, 16 Nov 2023 14:25:00 -0600 en-US text/html
AI and security highlight day one at Cisco Partner Summit

Cisco Systems Inc. typically announces some new products at its annual reseller event, Partner Summit this week in Miami. But equally important are initiatives to enable its global ecosystem of partners to be more successful by directing them into emerging areas, since about 90% of its business flows through the channel.

As expected, artificial intelligence is a key theme at the event, with Cisco emphasizing the importance of integrating AI into everyday business processes. According to findings from Cisco’s soon-to-be-released AI Readiness Index Survey, approximately 70% of organizations believe their information technology infrastructure is not scalable and, therefore, not ready for AI. The data suggests that many organizations may face challenges in adapting their current IT environments to support the demands of AI.

“AI use cases increasingly require data to be analyzed at the source, in the data center, and at the edge, in a very distributed way,” Jason W. Gallo, vice president of Cisco’s Global Partner GTM Acceleration, said during a pre-briefing with analysts. “Our customers might be tempted to stand up islands of standalone AI servers that will lead to an enormous management burden, security and skills challenges.”

Although the interest in AI is high, the large number of customers that believe their infrastructure is not AI-ready presents an excellent opportunity for partners. Customers may be willing to spend the money to modernize their infrastructure, but many of the ones I’ve talked to aren’t sure where to start. The new AI Readiness Index enables partners to help customers understand where they are and the end state.

To address today’s IT departments’ challenges when deploying AI solutions, Cisco partnered with industry leaders — including NetApp, Nutanix, Nvidia, Pure Storage and Red Hat — to develop Cisco Validated Designs for AI. CVDs can be considered design blueprints for Cisco technology, making it easier for companies to adopt AI without extra complications or create separate, difficult-to-manage systems.

CVDs have been extremely popular for Cisco in other technology areas, such as software-defined wide-area network, security, automation and edge computing. The end-to-end design lowers risks and speeds up time to market, and I expect the AI CVDs to be highly successful.

Additionally, Cisco significantly enhanced its Full-Stack Observability Platform, allowing developers to create custom modules suited to their specific requirements. These modules can help companies gain insights into various aspects, such as sustainability, and drive operational efficiency. The idea is to harness telemetry data and turn it into actionable insights that can be used to Excellerate business strategy.

“We’ve continued to add and enhance the capabilities of our FSO Platform over the past year,” Gallo said. “This has opened up the opportunity for our partners to access those capabilities via open APIs, giving them a chance to develop integrations and their own intellectual capital.”

On the cybersecurity front, Cisco unveiled new security suites focused on user, cloud and breach protection. Gallo explained that this new approach redefines how cybersecurity products are packaged and consumed, promising an integrated, predictable, cost-effective solution. Cisco’s strategy involves identifying the most critical use cases and ensuring its products are compatible with various systems.

Lastly, Cisco shared an update on the Partner Innovation Challenge. The program has seen a surge in participation, reflecting its success in driving new solutions. The sixth annual challenge introduced a new award called Partnering for Purpose, encouraging partners to innovate in areas such as providing digital access, improving work life, tackling climate change, protecting the environment, responding to emergencies, and meeting basic human needs.

I was glad to see the introduction of the Partnering for Purpose award. Cisco has a well-defined purpose of “powering an inclusive future for all,” but it can’t make a big, global impact without scaling up through its partner community. The new awards are focused on improving the world, and I’d like to see Cisco continue to reward partners that make the biggest difference in this area.

This year’s Partner Innovation Challenge winners included grand-prize recipient Ormit Solutions, which developed a Wi-Fi solution for academic and residential communities. Long View Systems, the second-place winner, created a building management system that leverages existing Cisco technologies to deliver energy-efficient, occupant-focused controls. CAE Labs, the third-place winner, built a network intelligence platform that provides customers with a complete view of their Cisco investments through a dashboard.

Over the years, I have heard the speculation that Cisco was looking to cut its partners out of the loop, which would allow the company to retain more margin. In reality, nothing could be further from the truth.

Every Cisco executive I have talked to about this, from Chief Executive Chuck Robbins (pictured) down, continually reiterates the importance of the channel. Day one news is focused on helping Cisco’s partners capture more business in AI, security and FSO, and if the partners are successful, so will Cisco and its customers.

Zeus Kerravala is a principal analyst at ZK Research, a division of Kerravala Consulting. He wrote this article for SiliconANGLE.

Photo: Cisco

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Tue, 07 Nov 2023 03:22:00 -0600 en-US text/html
Nobl9 Launches Innovative Module for the Cisco Observability Platform No result found, try new keyword!Nobl9, the software reliability company, has launched a new module for the Cisco Observability Platform that integrates with Nobl9 Reliability Center. As the complexity of enterprise infrastructure ... Thu, 09 Nov 2023 05:00:00 -0600 en-US text/html Cisco Unveils Webex AI Strategy To Reimagine Communication And Collaboration With Artificial Intelligence

(MENAFN- Mid-East)

    New Real-Time Media Models (RMMs) in Webex harnesses audio and video in powerful new ways. Customers benefit from crystal-clear audio and video regardless of bandwidth with the new Webex AI Codec. New Webex AI Assistant brings together RMM and Large Language Models (LLMs) to help hybrid workers and contact center agents do their jobs better.

Dubai, UAE:At WebexOne, Cisco announced a new AI strategy for Webex that will Excellerate communication and collaboration. Unlike AI offerings that solely focus on text or documents, Webex will use real-time communications for audio and video to solve everyday challenges, such as ensuring crystal-clear audio and video calls and meetings despite low bandwidth. Cisco also announced the launch of its new Webex AI Assistant with new capabilities that will bolster productivity and accuracy for customers. The Webex AI strategy and Webex AI Assistant will be applied across the full Webex portfolio.

“In the ever-evolving landscape of hybrid work, AI serves as a key driver in enhancing collaboration and communication. Our Webex platform, known for its consistent commitment to innovation, is taking yet another step forward by integrating AI,” said Ahmad Zureiki, Director of Collaboration Business, Cisco Middle East and Africa.“With AI at its core, it is set to empower our customers throughout the Middle East and Africa, opening new horizons for productivity and connection.”

Introducing Real-Time Media Models:

Visual and audible cues like gestures and walking out of the room during a meeting provide invaluable context about human interactions. Cisco's new Real-Time Media Models (RMMs) in Webex will enhance audio and video quality. The models have the ability to take multiple media streams and produce multiple outputs, such as people and object recognition and action analytics like movement and gestures. RMMs in Webex will also enable audio and video channels to be used as signals of context in traditional text-based capabilities like meeting summaries and highlights. By uniquely fusing together AI for text, audio and video, Webex users will benefit from rich real-time insights. For example, in the future, Webex may be able to recognize that a meeting participant stepped away from a meeting, and capture meeting notes to bring that person up to speed when they return.

New Webex AI Codec Helps Customers Achieve New Levels of Audio & Video Quality:

People are regularly impacted by network impairments, which may have a direct impact on calls and meetings. For example, a user may experience disruption when connecting from their car, a hotel room, or a rural area with poor connectivity. Choppy audio or video often derails conversations and frustrates people - from meeting participants to customers calling into a business' contact center.

Cisco is unveiling a new AI Codec in Webex, a new generative AI solution that will redefine real-time communication and solve the challenge of audio quality. The audio Codec aims to deliver crystal-clear audio regardless of network conditions, even in areas with spotty connections. Webex's efficiency with its AI Codec allows for massive transmission redundancy to recover from network packet loss. Webex AI Codec also has built-in speech enhancement functions like noise removal, de-reverberation and bandwidth extension, to deliver unprecedented audio clarity.

Webex will similarly apply machine learning techniques to Excellerate video quality using Super Resolution. It will deliver high-definition meetings with amazing video quality regardless of bandwidth conditions.

Webex AI Assistant Helps Workers and Customers:

The newly launched Webex AI Assistant will power a robust set of capabilities that empower people to do their best work. It will also minimize work and costs for IT, ultimately driving business value. Webex AI Assistant will prompt users with questions, like“ask me about the meeting,” that users can respond to with typing sentences, such as“catch me up on the 15 minutes I missed in the meeting” or“catch me up on all the meetings I missed on Friday while I was on PTO,” to generate answers in real-time. Webex AI Assistant is already natively integrated into Cisco Collaboration devices and will span the Webex portfolio. New Webex AI Assistant capabilities will include:

    Change Message Tone provides recommended changes to tone, format, phrasing in Webex Messaging and Slido. For example, the Webex AI Assistant may suggest changing a blunt response like“this isn't good; rework the summary,” to a more professional option of“this is a fantastic document, but the upfront summary could use some improvement.” Suggested Responses to messages for contact center agents responding to customers on digital channels. Suggestions of text are informed by context history and surrounding intelligence. Meeting Summaries will help users catch up on missed portions of meetings or entire meetings in real-time, with an easily digestible summary of what was missed. Meeting Summaries will be organized into chapters and highlights. With chapters, people can skip to various topics. For example, they may prefer to focus in-depth on the written portion of the finance discussion, then watch a brief video that summarizes the focus of the meeting in its entirety. Message Summaries help people stay up to date by recapping unread messages or recapping spaces. They are customized, so a user can ask Webex AI Assistant to summarize messages from their boss in a space that contains messages from multiple people, for example. Slido subject Summaries generate common Topics shared in interactive Q&A and polling during virtual and hybrid events for participants to easily navigate what's trending.

These new capabilities are in various stages of availability, with shipping planned to begin before the end of 2023.

Harnessing the Best Large Language Model Based on Use Case:

Understanding that certain Large Language Models (LLMs) will be better suited than others based on the use case and training, Webex will use a combination of best-of-breed models. Webex's federated approach combines commercial, open source, Cisco-proprietary and select customer models to deliver the best possible experience.

Cisco's Approach to Responsible AI:

Cisco has leveraged AI with natural language, audio intelligence, video intelligence and analytics for years-all designed with attention to security, privacy and human rights built in from the start. Realizing AI's significant promise while adhering to standards for transparency, fairness, accountability, privacy, security and reliability is an ongoing mission at Cisco. This is the promise of Cisco's Responsible AI Framework,which applies to our AI offerings. The Webex AI strategy and Webex AI Assistant capabilities are secure and align with Cisco's Responsible AI Framework.

About Cisco:

Cisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco.

Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at . Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.

About Webex by Cisco:

Webex is a leading provider of cloud-based collaboration solutions which includes video meetings, calling, messaging, events, customer experience solutions like contact center and purpose-built collaboration devices. At Webex, we start with people and their experiences first. This focus on delivering inclusive collaboration experiences fuels our innovation, which leverages AI and Machine Learning, to remove the barriers of geography, language, personality, and familiarity with technology. Our solutions are underpinned with security and privacy by design. We work with the world's leading business and productivity apps – delivered through a single application and interface.


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Tue, 31 Oct 2023 07:42:00 -0500 Date text/html

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