Embark on an enhanced learning journey with the Cisco Black Belt Academy—a transformative platform designed to give you a competitive edge in the dynamic Cisco ecosystem. Our mission is to empower y… Read more on Cisco Blogs

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Embark on an enhanced learning journey with the Cisco Black Belt Academy—a transformative platform designed to give you a competitive edge in the dynamic Cisco ecosystem. Our mission is to empower you with the knowledge and skills needed to confidently interact with customers and drive successful sales.

Building on the momentum of VQ’s integration into the Black Belt Academy, we’re thrilled to announce comprehensive updates to our trainings, featuring the latest insights on VQ Conference Manager DMA and our innovative self-service app, VQ Conference Manager Metro.

The collaboration between Cisco and VQ Communications is not just about solving customer problems—it’s about creating opportunities for stronger sales. Here’s why:

A Powerful Partnership for Customer Solutions

The VQ Conference Manager platform is crucial for customers demanding on-premise, mission-critical conferencing on Cisco infrastructure and devices. Integrating VQ Conference Manager’s Meeting Services with Cisco’s CMS offers a robust, secure, and comprehensive system for configuration, call scheduling, call management, and detailed analytics.

VQ Conference Manager DMA (Device Management and Automation) is the Cisco-endorsed successor to TMS. When customers opt for DMA, it not only replaces their Cisco TMS but also encourages additional sales of Cisco endpoints as they upgrade or expand their device inventory.

VQ Conference Manage Metro meets the needs of customers who need a secure, on-premise app, which enables users to host or join video and audio conferences on Cisco infrastructure, from just about anywhere, using virtually any device.

Enhancing Sales Value and Strategic Strength

Incorporating both Cisco infrastructure and VQ Conference Manager into customer solutions not only addresses their problems more completely but also increases the value of each sale. This strategy underscores the robust partnership between Cisco and VQ Communications.

To quote VQ’s CEO, “The response to VQ Conference Manager DMA and Metro has been phenomenal from our customer base, both tenured and new, resulting in robust sales and an ever-expanding pipeline.”

Committed to Your Success

We are invested in your success and are excited to see how these enhancements will empower you to achieve greater results. As the technology solutions landscape evolves, so should your expertise. With these new updates, you are better positioned than ever to lead in this space. We encourage you to embrace these opportunities and join us in driving innovation in collaborative solutions.

Learn more and get started here!

We’d love to hear what you think. Ask a question, comment below, and stay connected with #CiscoPartners on social!

Cisco Partners Facebook  |  @CiscoPartners X/Twitter  |  Cisco Partners LinkedIn

"}]]  Building on the momentum of VQ's integration into the Black Belt Academy, we're thrilled to announce comprehensive updates to our trainings, featuring the latest insights on VQ Conference Manager DMA and our innovative self-service app, VQ Conference Manager Metro.  Read More Cisco Blogs 

The dust has settled on another NAB event, but I’m inspired by the feedback we got from so many customers and partners at the event.  This event, which brings together the best and brightest minds in … Read more on Cisco Blogs

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The dust has settled on another NAB event, but I’m inspired by the feedback we got from so many customers and partners at the event.  This event, which brings together the best and brightest minds in the world of media, sports and entertainment continues to evolve, innovate and drive the industry forward.   For Cisco we continued to show leadership in the world of IP Production, Hybrid Cloud, Network Assurance, Devices, IPTV, CDN Streaming and more.  But it was our time with our customers and partners where we had meaningful discussions.   Things like trends around AI, or venue transformation in sports, or in best practices in workflows, staffing and more around #ST2110.  You see this was a time for the industry to come together and at Cisco we are proud to be part of that journey.  To learn more about Cisco’s innovation in the Media, Sports and Entertainment space, check out my interview with Lisa Collins during #NAB2024.

For more information, please visit Cisco Portfolio Explorer site to learn more about how Cisco is transforming the industry.

"}]]  Stay ahead of the media curve with Cisco's NAB 2024 insights. Learn about the next-gen of IP Production and more.  Read More Cisco Blogs 

Ying Ying Yang migrated to Australia from China with qualifications as an electrical engineer, and confronted a challenge that many new migrants do: a language barrier.

Ying Ying Yang

“I studied R… Read more on Cisco Blogs

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Ying Ying Yang migrated to Australia from China with qualifications as an electrical engineer, and confronted a challenge that many new migrants do: a language barrier.

Ying Ying Yang

“I studied Russian because my hometown was next to Russia,” she says. “I studied Russian until I finished university!”

She decided studying a course in English would help and enrolled in an IT Certificate course at TAFE New South Wales.

“I remember when I started in the Certificate III class, and I had a teacher who looked at me as though she was thinking ‘you even can’t speak English, how are you going to pass the subject?’ But I think I’m thinking, you know, you don’t know whether I can pass it or not, but I know I can pass it, so that’s how I got through, initially,” she says.

Falling into IT

“I had no intention to do IT, it was just by opportunity,” says Ying Ying. “Possibly you don’t have confidence to do things, but as long as you stick to it, you work hard towards it, eventually you can get some good results.”

Ying Ying did get those results. After passing her Certificate III, she started a Certificate IV course that included Cisco Networking Academy curriculum, and she was hooked, going on to get CCNA and CCNP certifications.

“I think the Cisco Networking Academy has got the best courses, especially when you’re just starting in IT, because they don’t just teach for their product,” she says.

“A lot of other vendors have an academy, but they focus on their product, but Cisco Networking Academy is really good for someone who has no IT background because it provides courses at different levels, and they actually give you knowledge which you need to know.”

“All the modules are well-organized, so easy to follow,” she adds, “and also the labs are really good.”

Ying Ying Yang with her Instructor Ashraf Salem

Change of direction

“I always encourage the students to do the fundamental courses, because IT is so big,” she says, suggesting that students can then decide what area of IT work they would like to get involved in.

For Ying Ying, that was teaching.

“My teacher really helped me a lot, and because she thought I was a good student she recommended me to my boss. They said, ‘we want you to join the instructor training.’ I didn’t think I could become a teacher!”

“My teacher changed my life, and I want to do the same for others,” she says.

“Some students really like to talk to me about their worries, and things that have happened in their lives and get advice. I feel that is something meaningful. Sometimes I’m really tired but I walk into the classroom, and I feel just like I had two coffees, and immediately I’m back to the work mode,” she says. “I just feel, just by chance, I found what I’m right at.”

Volunteering with refugees

Ying Ying’s determination to help others has extended to volunteering her time to help with a project with Community Corporate to train refugees with Cisco Networking Academy.

“The learners may have some background knowledge but because of the new environment, they are a bit shy to ask the questions to know where to start,” she says. “When it comes to the new environment, I just use my own experience and to encourage them, to give them some idea, because I’m an immigrant to Australia too.”

“Cisco provides a fabulous English course, English for IT,” adds Ying Ying. “We decided to give the students access to the course. It has a focus on IT terminology. I think that course is really good, and I review it to learn the words in the IT work environment to communicate with others. It is a good course!”

At home in Australia

Thanks to enrolling in that initial IT Certificate course, Ying Ying has found a new career, and is grateful to call Australia home. “I always tell students—especially when we have international students—the thing I really love in Australia is that we have opportunity,” she says.

“You can change your career at any point as long as you want it. My students include taxi drivers, accountants, and dentists. At some stage of their lives they decided to change to IT. I use them as role models to encourage other students. That’s how I started!”

Explore more inspiring Networking Academy Success Stories

Ready to begin your learning or teaching journey? Explore all Networking Academy courses to get started.

"}]]  Read how Ying Ying overcame language barriers and lack of IT expertise to transform her life and career as a migrant from China to Australia, and went on to inspire others as an educator through Cisco Networking Academy.  Read More Cisco Blogs 

New technologies are helping institutions create student-centric experiences that can improve retention, plus help promote their school’s brand in a positive way to attract new students (and even f… Read more on Cisco Blogs

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New technologies are helping institutions create student-centric experiences that can improve retention, plus help promote their school’s brand in a positive way to attract new students (and even faculty). As we saw in part one of our two-part series, Biola University, a private Christian university in Southern California, recently teamed with Cisco to do just that. But it’s also important to take a leadership role to promote the opportunities that enable student success and, perhaps more importantly, to start envisioning the future so your network can better serve users for the long-term. Today, in part two of our two-part series on creating a secure student-centric experience, we continue our talk with Scott Himes, Biola’s director of network operations, about enabling student success and preparing for the future.  

Q: How have you enabled student success through a solid network infrastructure?

A: Helping students to be successful means making sure the services they need access to as a part of their program are available, then making sure that staff and faculty services are available as well.

Everything that they need to do is online. Many of the applications used to be local to the campus network. Now 90% are in the cloud. It’s internet dependent. For us to enable their success really comes down to securing their endpoints and keeping uptime at a very high level so that services aren’t affected.

Q: What’s your perspective on how a unified platform experience could enable innovation at Biola University?

A: The more Cisco products work jointly, the better Cisco products work together . . . working in sync with one another, especially from a security standpoint. I think that’s key because you’re collecting data from so many different tools and sources.

If you’re doing work in isolation, you have one tool over here that knows that there’s a problem, but it’s not communicating with these other tools. You’re not getting the full benefit out of them, right? Having those, like Cisco Identity Services Engine (ISE), Cisco Umbrella, and Cisco Platform Exchange Grid (pxGrid), creates an underlying data platform that allows those tools to work together.

It ties them together from a data sharing and security standpoint. You’re only adding to the value of the tool at that point, right? Because you’re sharing the right data to make the right decisions as quickly as possible. Then being able to automate those decisions because you’ve collected the right information from all the right sources in all the right trajectories at that point. I think having that shared platform is very, very valuable.

Q: What is the next stop on Biola University’s tech trek?

A: We have some unique use cases. For example, we have a robotics professor whose classes have lots of robots that he wants his students to be able to manage and use in the classroom. But with so many robots, he needs more connectivity so the students can connect and manage those devices in an easy way.

A user defined networking (UDN) would allow students to do that kind of thing; create their own UDN and connect robots plus the other management devices. So, it works in a classroom setting as well, but it really allows us to make the “at-home” user experience for students in their dorms all the better because all the devices that they bring to campus from home, expecting them to work, actually do work. They do what they’re supposed to do in their dorm room, which is what they would expect it to do. Right. That’s what they want.

I think the other is that we’re looking to moving from on-premises calling to the Webex Calling platform. We’re just in the early stages of that, but it is exciting to look ahead and see the potential for moving some of the infrastructure that we have on-premises to the cloud.

Also, reducing some of the overhead that we have from an administrative standpoint in that regard, and reaping the benefits of a cloud infrastructure that Cisco’s built-out that actually ends up being a simpler tool to use and manage for our small team. This lets us do a lot of things with not very much time or labor.

Student-centric experience – take your next steps

As leaders in higher education, like Biola University, seek to create student-centric experiences that better serve their users, technology will continue to play the central role. But we must be sure to address how those technologies can effectively work together, now and in the future. Our Cisco experts in education are here to help with that. Please reach out to your Cisco Account Manager for guidance on how you can start your journey today. Until then, explore more resources on student-centric experience:

Blog: Part 1 of Creating A Student-Centric Experience: Technologies
eBook: Exploring the Roles and Technologies of Experience Driven Institutions in Higher Education
Cisco Solutions for Higher Education

"}]]  Learn how you can take the lead in enabling student success for the long-term at your institution as we reveal how one university is powering a student-centric experience through leadership in technology.  Read More Cisco Blogs 

For nearly two decades, Cisco and Red Hat have collaborated on integrated, industry-leading solutions to optimize IT infrastructure. The partnership brings together Red Hat expertise in operating… Read more on Cisco Blogs

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For nearly two decades, Cisco and Red Hat have collaborated on integrated, industry-leading solutions to optimize IT infrastructure. The partnership brings together Red Hat expertise in operating systems, containers, and automation with world-class data center compute, networking, and management products and solutions from Cisco. The companies have most recently focused on product integrations and features that help customers develop, deploy, and manage the most demanding artificial intelligence (AI) and cloud-native workloads across on-premises data centers and multicloud environments.

AI is pushing traditional infrastructure to its limits due to its massive datasets, specialized algorithms, and process orchestration requirements. Given the critical nature of the datasets and the business processes AI is being deployed to improve, IT teams are faced with significant considerations around security and infrastructure scalability to support the inevitable growth.

Together, Cisco and Red Hat are dedicated to reducing the complexity of data center operations to help our customers deploy business-critical workloads across on-premises or multicloud environments in a consistent manner. Our philosophy is that while AI is changing everything, the need for accelerated infrastructure shouldn’t change the way Cisco customers operate their networking and compute environments. We need to help avoid new islands of bespoke infrastructure and operations.

Helping customers adapt to infrastructure modernization requirements

Together, we are building integrated solutions on world-class infrastructure and management platforms from Cisco and advanced open source and automation technologies from Red Hat, including Cisco UCS, Cisco Intersight, Cisco data center networking, and Red Hat OpenShift. Our goal is to deliver a robust, scalable, and automated foundation for customers seeking AI tools and solutions to modernize their applications infrastructure and data center networking operations.

“By integrating Cisco UCS and Cisco Intersight with Red Hat OpenShift, customers can benefit from enhanced performance for demanding AI workloads backed by a reliable containerized environment for simplified application development and management,” said Red Hat’s Tushar Katarki, Senior Director, Product Management, Hybrid Cloud Platforms.

Here’s a summary of what we’re announcing and showcasing at the show.

Extending OpenShift support on Cisco UCS bare metal

Customers can now simplify operations by eliminating the hypervisor layer to run cloud-native workloads. This helps reduce overall infrastructure costs while increasing resource utilization. With OpenShift Virtualization, legacy applications can run in VMs that can be created, managed, cloned, and live-migrated next to containerized workloads on bare-metal Cisco UCS. A bare-metal architecture also offers more direct hardware access, maximizing performance for demanding workloads such as high-performance computing, AI, or other latency-sensitive applications.

New Cisco Validated Designs (CVDs) for generative AI

Enterprises are investing in GenAI for driving innovation, enhancing decision-making capabilities, and mitigating risks through predictive modeling and scenario analysis, among many other capabilities. At Red Hat Summit, we are introducing several Cisco Validated Designs for GenAI use cases including:

How to run GenAI tasks such as inferencing over converged infrastructure with NVIDIA GPUs, the NVIDIA AI Enterprise Software Suite, VMware vSphere, and OpenShift. These CVDs support continuous integration (CI) architectures for both NetApp FlexPod with NetApp Astra Trident and FlashStack with Pure Storage Portworx for persistent storage. These validated designs also highlight sustainability capabilities featuring Cisco UCS Power and Energy Metrics Dashboard.
Another GenAI inferencing CVD features the Intel 5th Generation CPU, Intel OpenVINO toolkit, VMware vSphere, OpenShift, and OpenShift AI. This design guide shows how OpenShift Data Foundation users can leverage local storage in Cisco UCS servers for simplified operations.
A fourth CVD is for streamlining machine-learning operations with OpenShift AI on FlashStack with NVIDIA GPUs to operationalize and accelerate model delivery with consistency and efficiency.

Enhancing network performance and security

We are also showcasing the benefits of integrating Cisco Application Centric Infrastructure (ACI) with OpenShift to help customers improve their network operations. We will showcase how the Cisco ACI CNI plugin for OpenShift creates a single, programmable network that eliminates bottlenecks between OpenShift applications and the rest of the infrastructure. This approach also improves security through flexible microsegmentation. Additionally, we will have a new solution demo featuring Lightspeed-ACI, which automates the creation of Ansible playbooks for ACI, accelerating network operations.

Jayakrishna Mada, Product Manager, Cisco Data Center Networking, contributed to this blog.

Get more details about Cisco and Red Hat
solutions at our solutions homepage.

Additional Red Hat Summit 2024 resources:

Solution demos for GenAI, MLOps, and network resolution use cases at Cisco booth #300
Lightning talk: Simplifying Operations and Infrastructure for AI 
Breakout session: Unleashing Efficiency: Driving your Cisco DC network infrastructure with Red Hat Event Driven Ansible

"}]]  For nearly two decades, Cisco and Red Hat have collaborated on integrated, industry-leading solutions to optimize IT infrastructure. The partnership brings together Red Hat expertise in operating systems, containers, and automation together with world-class data center compute, networking, and management products and solutions from Cisco. The companies have most recently focused on product integrations and features that help customers develop, deploy, and manage the most demanding artificial intelligence (AI) and cloud-native workloads across on-premises data centers and multicloud environments.  Read More Cisco Blogs 

Did you ever ask ChatGPT how it was programmed? Or which programming language might be useful when you are about to create or test new AI application features? Let’s discover which programming l… Read more on Cisco Blogs

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Did you ever ask ChatGPT how it was programmed? Or which programming language might be useful when you are about to create or test new AI application features? Let’s discover which programming languages are the most popular and in which scenario for AI.

Let’s ask ChatGPT first

When you usually have a question, you ask Google. But nowadays, you might also ask ChatGPT for a response. Depending on the knowledge cutoff (= latest data added before the model was trained) of the large language model (LLM) you will receive different answers. Here is the latest answer of ChatGPT-4 with the knowledge cutoff in December 2023

Providing context – What do you want to achieve?

ChatGPT did a great job as all these languages are very useful for specific AI developments. However, it depends on the context, methods and use-case which programming language to choose. “It depends” is the usual answers in IT projects such as this one.

First and foremost, ask yourself: What do you want to achieve? What is the targeted outcome? And based on that answer, choose your tools such as programming languages, libraries and software-stack.

Do you or does your team have already pre-knowledge in this programming language or software? Are there already some stable libraries available which you can leverage? I am an advocate of learning new things, but always think twice if learning a new programming language or software tool is the right way to go.

AI & Programming Languages

Always have in mind: Applying AI means that you are applying various techniques and methods from
statistics and mathematics which are initially independent from any tech stack.

How you are applying your chosen algorithms to your data is up to you. Programming languages and specific libraries are tools which help you to achieve this outcome.

Here is my take on useful programming languages for AI, sorted by its main advantage. For each programming language you see a sample code how each language is intelligently reading and outputting a CSV-file.

Simplicity: Python

As ChatGPT already correctly answered, Python is the undisputed champion when it comes to AI, mainly because of its simplicity. Fun fact: ChatGPT is also mainly written in Python.

Python is easy to learn, has a large community and is highly extensible. Nowadays, many AI frameworks, (vector) databases, Cloud-APIs, etc. support an SDK in Python. When going with Python for any task, a library usually exists for it.

Within the last years many data scientist, data engineers & data analysts started to use Python more often. When comparing the largest data platforms, you usually see support for Python and SQL.

Notable libraries: PyTorch, TensorFlow, Keras, Sci-kit learn, Numpy, Pandas, Polars, Jupyter, Matplotlib, openCV, spaCy

Performance: C++

The main limitation of Python is computational speed. This is where C++ comes into play, which is a compiler-based programming language and especially used for computationally intensive tasks like AI workloads.

Did you know, many AI Python libraries are using C++ code under the hood because of the better performance. So, you provide the input parameters within your Python environment, but the actual compute task is executed by C++ code for example. With this hybrid-approach, users can achieve their task using Python and not C++, which is more difficult to learn.

If execution speed, latency and performance is a top priority, go for C++, but expect a steeper learning curve compared to Python.

Notable libraries: PyTorch, TensorFlow, mlpack, Caffe, OpenNN

Full-Stack: JavaScript

JavaScript is one of the most popular programming languages nowadays. You can execute JavaScript code on the client-side (in the browser) and on the server-side (e.g. with Node.js) which makes it a “full stack” programming language.

If you would like to add AI features to your JavaScript application, you can do that natively. Seamlessly integrate an interactive web-based user-interface, leverage the GPU on the client- and server-side, and implement near real-time interaction with web services.

Screenshot from the OpenAI docs: REST API, Python and JavaScript (Node.js) are supported to interact with ChatGPT.

However, JavaScript is not suited for intense AI workloads and lacks extensive data science and machine learning libraries. There are also constraints when executing workloads in the browser.

Notable libraries: TensorFlow.js, Brain.js, D3.js, Synaptic.js

Data Analysis: R

In such a list, R cannot be missed. The interpreter-based programming language R was specifically created for statistics in 1993 and is still widely used especially in scientific domains.

R has a native command line interface and is mostly used for data manipulation, calculation and graphical display. It features many extension packages which can be used for machine learning, statistical analysis and many other statistical and mathematical methods.

While R is a favorite among many statisticians, it can be difficult to learn for beginners in this topic area. Also, R is not suitable for production environments.

Notable libraries: tidyverse (dplyr, ggplot2), XGBoost, Gmodels, H2O

Enterprise-level applications: Java

As in the introductory stated, with a programming language you are applying the techniques and methods from statistics and mathematics. So, when you work on a Java-based applications and you are skilled in Java, there are also many libraries which you can leverage to create neural networks or do data preprocessing tasks.

Should you learn Java if you would like to primarily learn and apply machine learning or data analysis? Probably no. Java has a steeper learning curve and not as many extensive libraries like Python.

Java will not replace Python when it comes to AI. However, it can be useful for enterprise-level applications and if you are seeking for scalability and performance.

Notable libraries: Deeplearning4j, Deep Java Library, Apache OpenNLP

The emerging star?: Julia

Have you ever heard of the programming language Julia? When released in 2012 by a small team of programmers, the promise sounds interesting: As general as Python, as fast as the programming language C, as statistics-friendly as R, etc. (find more in their blog post here: https://julialang.org/blog/2012/02/why-we-created-julia/).

It seems that the team delivered. Julia has been downloaded over 45 million times and registered over 10,000 Julia packages for community use. Also, larger corporations are leveraging this newer programming language.

Compared to Python (interpreter- based), Julia uses a JIT (just in time) compilation and is therefore executed faster. Julia features a built-in package manager, is a dynamically typed programming language like JavaScript, and the syntax is better to understand compared to C/C++.

While Julia provides many advantages, Python with its extensive machine learning and data science libraries might be just enough for many AI workloads – in terms of execution and delivery speed.

If there are no libraries for your task, you need to write the code from scratch, which adds extra time.

Julia dropped out of the top 20 in the TIOBE index and is currently on the 34th place (April 2024). In the end, time will tell if Julia can find its way. For now, it might be worth to check it out.

Notable libraries: Flux, Pluto, Makie, MLJ, Tensorflow

Is something missing?

This list should provide you a first direction when it comes to programming with AI workloads and is not complete.

Other notable programming languages such as Lisp, C#, Golang, Scala, Prolog & others also have its place in this space. It all comes down to each specific project, use-case and team/skillset.

Feel free to add more languages or other AI libraries below which you’ve already used in your project. Tell us how it went!

Learning resources

Whether you’re just getting started or are looking to enhance your skills in programmability with AI, check out the below learning resources:

AI resources hub
Introduction to Python Learning Lab
Python Advanced Learning Lab
Python REST API Application Learning Lab

"}]]  Python? C++? Java? JavaScript? R? Julia?... As is usually the case, it depends on your context, methods, and use-case which programming language is right for your AI project.  Read More Cisco Blogs 

Hannover Messe is an event focused on “what’s next” for manufacturers. It’s an opportunity to showcase our innovation, sustainability, and business value. This year, we featured over 50 theater sessio… Read more on Cisco Blogs

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Hannover Messe is an event focused on “what’s next” for manufacturers. It’s an opportunity to showcase our innovation, sustainability, and business value. This year, we featured over 50 theater sessions helping manufacturers tackle their biggest challenges. The different sessions leveraged topics like advanced manufacturing operations, workforce enablement, industrial security and sustainability. Despite the wide array of topics, four themes resonated throughout each day of the event. Here’s what I saw.

Cisco and Splunk

Cisco and Splunk are bolstering digital robustness in manufacturing with end-to-end visibility, empowering swift responses to security threats and ensuring operational continuity. Amidst unpredictable supply chain challenges and advanced cyber threats, their collaboration raises the bar for security in IT and plant operations. Splunk’s solutions offer insights to preemptively mitigate downtime, strengthen defenses beyond the network perimeter, and fast-track digital transformation efforts.

Enabling smart manufacturing within Industry 4.0

Cisco’s industrial connectivity solutions enable robust and secure data exchange between machines and sensors in manufacturing environments, supporting the real-time communication required for Industry 4.0. their industrial security platforms protect against cyber threats, ensuring the safety and integrity of networked industrial systems. Cisco’s technologies facilitate the integration of AI, machine learning, and big data analytics, allowing for predictive maintenance and operational optimization. These solutions enable a smart manufacturing ecosystem that is secure, efficient, and ready for the challenges of Industry 4.0. Cisco’s infrastructure provides the backbone for a connected, intelligent factory floor, empowering manufacturers to improve productivity and reduce downtime.

Workforce Enablement with AiOps and Remote Expert

Cisco’s AiOps solutions empower manufacturing IT teams by using AI to predict and prevent operational issues, thereby optimizing decision-making and automating routine tasks for a more efficient workforce in Industry 4.0 settings. Additionally, Cisco’s collaboration tools provide a “Remote Expert” solution, allowing specialists to offer real-time support to factory personnel from remote locations, which is invaluable for complex troubleshooting and immediate expert guidance. These technologies ensure that the workforce is equipped to handle the sophisticated and interconnected nature of modern industrial environments.

Sustainability is key

Cisco champions sustainability by infusing it into their culture and enhancing networking solutions for energy efficiency in global industries. Their smart networks offer increased visibility and control over energy usage and environmental impact. Collaborating with Rockwell Automation, Cisco’s innovative solutions address water management, conserve energy, and expedite repairs. At Hannover Messe 2024, Cisco had a spotlight on sustainable manufacturing, supply chain resilience, and robust cybersecurity across all sectors, including intelligent buildings, water management, and EV charging systems.

Your trusted technology partner in manufacturing

If you had the chance to stop by our booth, thank you! The conversations and face-to-face interactions I had with our customers, peers, and partners were nothing short of inspiring. We learned a lot too! Cisco is doing some incredible work driving true outcomes for our customers, and Hannover Messe 2024 was a great showcase of where we can go from here.

I hope you enjoyed our theater sessions and our demo areas. For all our Cisco Hannover content, I encourage you to visit our microsite.

"}]]  Leadership, IoT, new business models, operations, and security were major themes from Hannover Messe. Here's how Cisco is enabling manufacturers to thrive in all areas with digital solutions and network management.  Read More Cisco Blogs