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But there are a number of groundbreaking women who have been highly successful in networking, and were highlighting 20 of them (in alphabetical order). Fun fact: Co-founded the Silicon Valley CIO Womens Network and is a member of the Girls in Tech Board of Directors.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificial intelligence capabilities. The latest addition is the company’s network AI assistant, which aims to assist with operations and management.
Networking skills are evolving to keep pace with broader technology trends, and network pros need to proactively develop new competencies in areas such as AI and automation to stay relevant. From AI and network automation to cloud computing and security, the critical networking skills needed to excel in 2025 are shifting.
Cisco is boosting network density support for its data center switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. Cisco’s Nexus 9000 data center switches are a core component of the vendor’s enterprise AI offerings.
VMware by Broadcom has unveiled a new networkingarchitecture that it says will improve the performance and security of distributed artificial intelligence (AI) — using AI and machine learning (ML) to do so. The company said it has identified a need for more intelligent edge networking and computing.
Today’s networks face a multitude of challenges as they become more complex and distributed. But AI holds the potential to improve IT networks. But AI holds the potential to improve IT networks. So what exactly is AI networking, how does it work and what are its top use cases?
Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. Skills in architecture are also in high demand, as power-hungry AI systems require rethinking of data center design. billion this year , up around 7% over 2023.
Palo Alto Networks is looking to expand the role SASE plays in securing private 5G networks by collaborating with additional partners to offer end-to-end communications protection. To truly safeguard enterprise, government and industrial operations, organizations need a holistic 5G security package. security measures.
Zero Trust architecture was created to solve the limitations of legacy security architectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. In today’s digital age, cybersecurity is no longer an option but a necessity.
Startups with campus-focused network-as-a-service (NaaS) offerings are positioned to capture a substantial portion of the greater NaaS market in the coming years, according to a new report from Dell’Oro Group. The CNaaS technology tends to use public cloud-managed architectures.”
Today’s enterprises need more help managing and securing their distributed networking environments than they ever have, Cisco concludes in its Global Networking Trends Report. Networkarchitectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
The rise of AI, in particular, is dramatically reshaping the technology industry, and data centers are at the epicenter of the changes. AI is a transformative technology that requires a lot of power, dense computing, and fast networks, says Robert Beveridge, professor and technical manager at Carnegie Mellon Universitys AI Engineering Center.
Software-defined wide area networking (SD-WAN) emerged in 2014 as a way to help organizations embrace the cloud and quickly became a hot commodity. As years passed new technologies like secure access service edge (SASE) and generative artificial intelligence (genAI) burst onto the scene, and SD-WAN has fallen out of the industry limelight.
Companies have historically secured OT systems which include physical security controls, HVAC systems, industrial control systems like factory automation equipment, and medical scanning equipment by air-gapping them. Enterprises also want to extract data from OT systems, which requires network connectivity.
As large enterprise and hyperscaler networks process increasingly greater AI workloads and other applications that require high-bandwidth performance, the demand for optical connectivity technologies is growing as well. But the use of fiber optics in networks is not without its challenges.
Cisco is looking to better protect myriad edge-attached IoT devices with new security software that promises to protect industrial assets in one of the most disparate of network environments. More about edge networking To read this article in full, please click here
Manufacturing tops list of most impacted industries: The manufacturing, technology, and services industries were the most targeted, with manufacturing enduring 13.5 This approach stops encrypted threats from reaching critical applications and systems, providing proactive protection that doesnt rely on shared network access.
Last year, Nvidias GTC 2024 grabbed headlines with its introduction of the Blackwell architecture and the DGX systems powered by it. Nvidia will likely introduce updates to its CUDA (compute unified device architecture) platform, which the company developed to expand the capabilities of GPU acceleration.
These attacks used to be perpetrated by individuals; now they’re launched by networked groups of affiliates who buy and sell each other’s specialized skills and toolkits. The post 10 Ways a Zero Trust Architecture Protects Against Ransomware appeared first on TechRepublic.
With growing concerns over advanced threats, VPN security issues, network complexity, and adversarial AI, enterprises are showing increased interest in a zero trust approach to security and moving away from firewall-and-VPN based architecture. Only 15% do not have a plan to embrace zero trust this year.
Multiple business imperatives are driving CIOs to re-examine and re-invent their approach to network infrastructure, including the mission critical backbone that supports highly complex, bandwidth-intensive, multi-cloud environments. One emerging alternative: backbone-as-a-service (BBaaS) offerings.
Amazon Web Services has been seriously bolstering its network to handle the increased demands associated with its AI-based applications and services. Instead of preserving packets order, SRD sends the packets over as many network paths as possible, while avoiding overloaded paths.
In many ways, networking is a mature, stable industry, based on established technologies like Wi-Fi and Ethernet, which just celebrated its 50th anniversary. But networking vendors are constantly innovating to keep pace with skyrocketing volumes of traffic that need to move securely and reliably across complex multicloud environments.
AI servers can be $100,000 to $200,000, especially when equipped with the latest Nvidia CPUs, Fung tells Network World. For example, the open-source AI model from Chinese company DeepSeek seems to have shown that an LLM can produce very high-quality results at a very low cost with some clever architectural changes to how the models work.
To find a brief definition of the networking term you are looking for user your browser’s “Find” feature then follow links to a fuller explanation. AI networking AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. Thats why our architecture embeds security at every layer of the AI stack, Patel wrote in a blog post about the news. Nvidia BlueField-3 DPUs and SuperNICs.
The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Legacy infrastructure.
CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. Look for leaders you can connect with and invest in these relationships so you can build a mentor network.
The industry transition to 400 Gigabit Ethernet networking took a big step forward this week when the worlds leading Internet exchange operator announced plans to upgrade its New York backbone to 400G. The previous capacity of the DE-CIX network was 100G, which means that data centers running at 400G need to split the signal.
AI servers are notable because they are decked out with high end CPUs, GPU accelerators, and oftentimes a SmartNIC network controller. All the major players Nvidia, Supermicro, Google, Asus, Dell, Intel, HPE as well as smaller vendors are offering purpose-built AI hardware, according to a recent Network World article.
We are on the cusp of one of the most significant changes in the x86 architecture and ecosystem in decades – with a new level of customization, compatibility and scalability required to meet current and future customer demands,” said Intel CEO Pat Gelsinger in a statement.
The architecture aims to optimize deployment speed, performance, resiliency, cost, energy efficiency and scalability for current- and future-generation data centers. New data centers are built for accelerated computing and generative AI with architectures that are significantly more complex than those for general-purpose computing.
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).
The deal, which sees Oracle and Carlyle selling their stakes in Ampere, strengthens SoftBanks position in the growing market for AI-optimized processors as major cloud providers increasingly look beyond traditional x86 architecture.
Uptime Institute details the major challenges and opportunities the data center industry will encounter this year in its report, Five Data Centers Predictions for 2025. Its going to happen a lot more where theres going to be a requirement for the data centers and the data center industry to make its case or suffer.
Infrastructure: Learn how to install common peripheral devices to a laptop or a PC and how to secure a basic wireless network. Applications and software: Manage applications software, understand the components of operating systems, and explain the purpose of methods of application architecture.
Network and infrastructure roles continue to shift as enterprises adopt technologies such as AI-driven network operations , multicloud networking, zero trust network access ( ZTNA ), and SD-WAN.
HaLow’s sweet spot is industrial IoT, building automation, security, access control, utility smart meters and intelligent grids. Here’s our hand-on assessment of working with AsiaRF’s Wi-Fi mesh gateway, which features a star topology that enables 8,000 connections for industrial IoT use cases.
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.
The secure access service edge ( SASE ) provider also enhanced its digital experience monitoring (DEM) capabilities with AI-powered root-cause analysis and automated network diagnostics. Its not enough to have all the right security tools or network services or even that theyve converged.
Network observability tools provide information on the health and behavior of applications, offer insights into end-user experience, and detect anomalies that are indicative of security incidents.
The shift from on-premises work environments to more remote and digital setups has forced industries to rethink their security strategies. In 2025, innovation in generative AI, automation, and IoT/OT technologies is poised to push boundaries across various industries. This progress, while groundbreaking, also presents new challenges.
The report reveals how enterprises worldwide and across industries are using and managing AI/ML tools, highlighting both their benefits and security concerns. Zscaler Figure 2: Industries driving the largest proportions of AI transactions 5. billion AI/ML transactions in the Zscaler Zero Trust Exchange.
Next milestones for Ocelot are to push the error-corrected logical qubit error rates even further down, by multiple orders of magnitude, Painter told Network World. The first industries to use it will probably be those developing new materials, new chemical processes, or in molecular biology, Painter said.
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