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The Linux Foundations networking division (LF Networking) is continuing to grow both its mandate and project roster in 2025. As part of the roadmap, a pair of open-source networking projects were announced that will bring new AI capabilities. AI in networking : 74% see open source as foundational to AI success in networks.
Among the hot trends is, unsurprisingly, outfitting Ethernet for all things AI. There are lots of different ideas and development we are just trying to get them all going the same direction, Peter Jones, president of the Ethernet Alliance, told Network World. All are interested in enabling networking technology to better support AI.
There are numerous overall trends, experts say, including: AI everything: AI mania is everywhere and without high power hardware to run it, its just vapor. But its more than just a buzzword, it is a very real and measurable trend. AI edge server growth: There is also a trend towards deploying AI edge servers.
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. billion range.
The modern network security landscape is undergoing a rapid transformation, driven by the increasing complexity of business operations and the rise of new technologies. New advances like SD-WAN and Secure Access Service Edge (SASE) are helping network professionals keep pace. SD-WAN layered with AI has a role to play here.
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.
Hybrid and multicloud initiatives will continue to shape enterprise IT in 2023, and the impact on data-center networking will be felt across key areas including security, management, and operations. and a Network World columnist. “The and a Network World columnist. To read this article in full, please click here
Cybersecurity penetration testing, or pen testing, involves a security assessment in which a security professional acts like a malicious hacker would and simulates a cyberattack on a computer system or network to identify potential vulnerabilities. Pricing for the exam has yet to be determined.
5 key findings: AI usage and threat trends The ThreatLabz research team analyzed activity from over 800 known AI/ML applications between February and December 2024. Zscaler Figure 1: Top AI applications by transaction volume 2. Here are the notable findings: 1. Enterprises blocked a large proportion of AI transactions: 59.9%
With Gaudi 3 accelerators, customers can more cost-effectively test, deploy and scale enterprise AI models and applications, according to IBM, which is said to be the first cloud service provider to adopt Gaudi 3. Businesses can pick their compute, storage and networking resources as needed, IBM stated. IBM watsonx.ai
The report highlights the more recent trends, top threat categories, most common targets of encrypted attacks, and other insights into how attackers are weaponizing encrypted traffic. The following subset of findings highlights some of the most prominent trends and targets. Encrypted threats accounted for 87.2% of blocked attacks.
Today’s enterprises need more help managing and securing their distributed networking environments than they ever have, Cisco concludes in its Global NetworkingTrends Report. Network architectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
For businesses running complex AI workloads that require thousands of GPUs working together, this could translate to faster model training, more responsive AI applications, and more efficient use of expensive computing resources. Industry experts see this as part of a larger trend. Lightmatters approach could flatten this architecture.
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.
The conference, the first after Broadcom’s acquisition of VMware, highlighted the growing trend of companies bringing workloads back from public clouds to on-premises environments. Despite the interest in private, the cloud migration is still a hot topic.
Gaining firm control over a multicloud network environment can deliver performance, efficiency, and security gains – but it won’t be easy. Managing a multicloud network is a highly demanding task, says Robert Orshaw, a managing director at Deloitte Consulting.
Automation technology has long been a part of ITs arsenal, as enterprises work to simplify increasingly complex networking and operational environments. EMA research finds that hybrid clouds are particularly problematic for network operations teams today. Automating these tasks will be critical for competitive advantage, Lobig said.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
Meanwhile, OT and cyber-physical systems, once air-gapped and isolated from the internet, have rapidly become integrated into enterprise networks, where threats can proliferate. Top Mobile and IoT/OT trends Rise in financially-motivated mobile threats, including a 111% rise in spyware and 29% growth in banking malware.
It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. A Zero Trust platform ensures applications and data are not visible to the public internet and users are only provided least privilege access, preventing lateral movement and protecting against ransomware attacks.
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. Focus: General information about data centers, design, management, and industry trends.
Also new to the platform is an AI-powered Log Insights feature that surfaces critical information from large volumes of log data to identify patterns, anomalies, and other trends that would indicate potential problems in the environment. IT teams must be able to detect issues before they become major incidents.
Juniper Networks continues to expand its AI technology in an effort to ease network management tasks and simplify customers’ network operations. At the core of the platform is the firm’s cloud-based, natural-language Mist AI and Marvis virtual network assistant (VNA) technology.
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.
In addition, the homegrown Graviton processor powered more than 250,000 CPUs during Amazon Prime Day, showing its efficiency in handling demand, according to a presentation at the recent AWS: reInvent conference by Dave Brown, vice president of AWS compute & networking services. So, its more of a trend as opposed to a one-off, he said.
Platformization isn’t a new trend, but there’s renewed focus from a number of vendors, including Fortinet , Palo Alto, HPE Aruba, and Cisco , as enterprises weigh the appeal of combining network and security features in a single overarching platform. Extreme’s mantra is to make secure networking easy to achieve.
Kyndryl has expanded its alliance with Palo Alto Networks to add secure access service edge ( SASE ) services to its managed services offerings. Kyndryl has security and networking relationships with other partners as well, including Cisco, Microsoft, Nokia and Fortinet.) The latest version of Prisma SASE, version 3.0,
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 overall trend toward placing new enterprise workloads in the cloud remains firmly in place, Lovelock says, but its not so overwhelming as to cannibalize current levels of enterprise data center deployments. As we enter 2025, here are the key trends shaping enterprise data centers. Then the bills starting coming due.
AI and intelligent application-development trends will impact the enterprise the most in 2024, says research firm Gartner, which unveiled its annual look at the top strategic technology trends that organizations need to prepare for in the coming year. “A To read this article in full, please click here
AI, security, energy-efficient computing , robotics, and virtual computing interactions are among the research firm’s top 10 strategic technology trends, which were unveiled at Gartner’s annual IT Symposium/XPO in Orlando. Energy-efficient computing Energy-efficient computing will continue to be a hot topic, according to Gartner.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. The bad news, however, is that IT system modernization requires significant financial and time investments.
For the last decade, AI also seems to have followed this trend with rapid acceleration since the launch of ChatGPT in 2022. The proliferation of open-source AI models more than 1 million are currently listed on the Hugging Face portal is driving innovation particularly at the application end.
Founded in 2017, Banzai is known for developing Kubernetes-based cloud application development and security technologies. It will become part of Cisco's Emerging Technologies and Incubation group, where the company brews new projects for cloud-native networking, security and edge computing environments.
But there is a disconnect when it comes to its practical application across IT teams. This has led to problematic perceptions: almost two-thirds (60%) of IT professionals in the Ivanti survey believing “Digital employee experience is a buzzword with no practical application at my organization.”
In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances. Whats more, three quarters consider their AI capabilities to be ahead of or right in line with their peers.
While it took AT&T close to two hours to roll back the network change, restoration of full service took at least 12 hours because the mobile carriers device registration systems were overwhelmed with the high volume of requests for re-registration onto the network, the FCC said. We sense a trend here.
During the event, Cisco positioned itself as a unique partner for customers facing challenges from the changing nature of the workplace to the revolution of artificial intelligence (AI) in data centers and network infrastructure or the need for digital resilience, said Oliver Tuszik, Ciscos vice president for EMEA.
These tools enable employees to develop applications and automate processes without extensive programming knowledge. Additionally, while these tools are excellent for simple applications, they might not be suitable for more complex systems that require specialized IT expertise.
Increasing the pace of AI adoption If the headlines around the new wave of AI adoption point to a burgeoning trend, it’s that accelerating AI adoption will allow businesses to reap the full benefits of their data. This is why Dell Technologies developed the Dell AI Factory with NVIDIA, the industry’s first end-to-end AI enterprise solution.
Mechanical Orchard says its approach to moving legacy mainframe applications to the cloud is unique. GenAI significantly accelerates this process by generating testing scripts from the legacy source code and automatically running them on the newly created applications, ensuring speed and accuracy, ISGs report states.
At this week’s Cisco Live event, execs from Cisco and Splunk detailed plans to create what they called a “unified observability experience” to help customers manage applications across on-premises, hybrid, and multi-cloud environments.
Could you share with us the overall trend of fiber broadband development, especially in the Middle East and Central Asia region? Fiber broadband offers high speed, large bandwidth, and low latency, enabling applications such as high-definition video, online gaming, remote work, and online education.
Being on the forefront of enterprise storage in the Fortune 500 market, Infinidat has broad visibility across the market trends that are driving changes CIOs cannot ignore. The following five trends can be summed up in eight words: cyber resilience, automation, hybrid cloud, performance, availability, and consolidation. .
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