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Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The ALE Private 5G service includes technology from across ALEs platforms, including ruggedized OmniSwitch hardware, OmniSwitch LAN, and OmniAccess Stellar WLAN software for local and wide area connectivity.
When joining F5 , she reflected on her career and said, F5s evolution from hardware to software and SaaS mirrors my own professional journey and passion for transformation. > She was senior vice president of information technology and applications at Zscaler from 2021-2022, then assumed her current CIO role.
IBM has rolled out the latest iteration of its mainframe, replete with AI technology designed to take data-intensive application support well into the future. The Big Iron evolution continues. At the heart of the new z17 mainframe , available in June, is the 5.5
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. IBM Cloud is broadening its AI technology services with Intel Gaudi 3 AI accelerators now available to enterprise customers.
While traditional backup software is well-proven, Backup as a Service (BaaS) solutions are rapidly becoming the cross-industry standard. For enterprises, owning backup software often requires significant upfront investment in both software and hardware, and with it the demand of ongoing maintenance from an in-house IT team.
The Cisco Wireless 9178 Series supports Software-Defined Access (SD-Access), which lets customers automate network configuration and management based on user identity, device type, and application needs. These licenses include product support for both hardware and software.
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. 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.
Manufacturing tops list of most impacted industries: The manufacturing, technology, and services industries were the most targeted, with manufacturing enduring 13.5 Zscaler eliminates this risk and the attack surface by keeping applications and services invisible to the internet.
We believe this will accelerate our timeline to a practical quantum computer by up to five years, says Oskar Painter, AWS director of Quantum Hardware, in a blog post released today. It will likely be beside other quantum hardware offerings, much like in EC2 where AWSs Graviton chips are offered alongside NVIDIA and other instances, he said.
Low latency drivers The biggest impact of 6G will be healthcare, industrial automation, and smart cities, he adds. These are also industries where convergence with Wi-Fi will be particularly useful. These verticals demand reliable, low-latency connectivity and seamless transitions between networks across wide areas, he says.
According to a September report from McKinsey, 55% percent of quantum industry leaders said they had a quantum use case in production this year, up from 33% last year. Two functions remove the need to understand quantum circuits, focusing on optimization and chemistry applications.
update, the technology is gaining a series of improvements including: enhanced observability features, application container improvements, and expanded network interface management functions. While retail was the initial target, today the technology has applicable use cases in any industry vertical imaginable. With Release 2.1,
“This collaboration is a game-changer for the enterprise market as it delivers a variety of valuable use cases, such as on-demand SD-WAN, fast scaling for 5G carriers, and edge computing for IoT applications,” said Masum Mir, senior vice president and general manager with Cisco Provider Mobility, in a statement.
For example, a legacy, expensive, and difficult-to-support system runs on proprietary hardware that runs a proprietary operating system, database, and application. The application leverages functionality in the database so it is difficult to decouple the application and database.
A new player in the networking industry is tackling the unique challenges of AI infrastructure at hyperscale. Sadana noted that existing networking vendors arent building the super customized hardware that hyperscalers need either. The key to success for hyperscalers is being highly optimized at every level of the stack.
And, by 2027, companies should begin phasing out applications that cant be upgraded to crypto agility and begin enforcing strong, safe cryptography for all data. Another potential blind spot is SaaS applications, she says. If youre in pharma or chemical industry, theyre using it already, says Constellations Mueller.
The rise of AI, in particular, is dramatically reshaping the technology industry, and data centers are at the epicenter of the changes. These certifications, generally speaking, theyre good for industry, good for learning specific domain knowledge, says Carnegie Mellons Beveridge. It gives you that awareness into the industry.
From COBOL to EVs: The scope of bps digital initiatives As the energy industry goes through multiple mergers and acquisitions over the years, it deals with a wide spectrum of digital apps, legacy systems, and business processes across its functions. This change in business focus is accompanied by an ongoing digital transformation.
The world has woken up to the power of generative AI and a whole ecosystem of applications and tools are quickly coming to life. It is becoming increasingly important in various industries, including healthcare, finance, and transportation. Hardware innovations become imperative to sustain this revolution.
Both PFC and ECN are core tenants of the technology that industry group Ultra Ethernet Consortium is developing to enrich the venerable networking technology for AI infrastructure duties. Hardware-based link-failure recovery also helps ensure the network operates at peak efficiency, according to Cisco.
Leaders across every industry depend on its resilient cloud platform operated by a team of industry veterans and experts with extensive networking, connectivity, and security expertise. These ensure that organizations match the right workloads and applications with the right cloud. It also offers exceptional transparency.
Give up on using traditional IT for AI The ultimate goal is to have AI-ready data, which means quality and consistent data with the right structures optimized to be effectively used in AI models and to produce the desired outcomes for a given application, says Beatriz Sanz Siz, global AI sector leader at EY.
Servers and hardware, including semiconductors, memory, network components, cabling, construction materials are going to see prices rise overnight once the tariffs go into effect, Bickley said. Just about every major cost center for the buildout of a data center will be severely impacted by the new tariffs.
To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).
tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself! Open source: This is an expanding offering in the industry and enterprise architecture stack beyond software, with huge potential.
Amid this AI arms race, OpenAIs latest trademark application with the United States Patent and Trademark Office (USPTO) shows that the organization has other goals beyond LLMs. The application lists various hardware such as AI-powered smart devices, augmented and virtual reality headsets, and even humanoid robots.
It is also a way to protect from extra-jurisdictional application of foreign laws. The AI Act establishes a classification system for AI systems based on their risk level, ranging from low-risk applications to high-risk AI systems used in critical areas such as healthcare, transportation, and law enforcement.
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. What could be worse than to plan for an event that requires the scaling of an application’s infrastructure only to have it all fall flat on its face when the time comes?”.
The board, formed in April, is made up of major software and hardware companies, critical infrastructure operators, public officials, the civil rights community, and academia, according to the release. The question, he said, is why the industry needs to do so.
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. Vendor lock-in.
Broadcoms $61 billion acquisition of VMware caused quite a stir in the technology industry and continues to prompt VMware customers to consider alternatives. It is highly likely that other costs would be incurred in a large-scale migration.
The government’s central research and development arm, Defense Advanced Research Projects Agency (DARPA), is setting up an industry initiative to benchmark quantum computing applications and algorithms in an effort to dispel some of the hype around the technology. billion in 2027 and grow to more than $8 billion by 2031.
Analysts expect such robots to be commercially available for manufacturers, supply chain and logistics giants, and retail industries within two years. Hundreds of thousands of industrial robots have been in operation since the 1960s and many thousands of newer smart robots that handle repetitive tasks are in production today.
AI networking AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. Open RAN (O-RAN) O-RAN is a wireless-industry initiative for designing and building 5G radio access networks using software-defined technology and general-purpose, vendor-neutral hardware.
“Instead, by doubling down on AI chips, particularly with the success of their EPYC and MI300 series in data centers, AMD is positioning itself as a formidable player in an industry where demand for AI accelerators is only set to grow exponentially.” Once we get that, then we can go after the top,” he told the PC hardware publication.
The hardware company and the Japanese university’s Center for Quantum Information and Quantum Biology have co-developed a quantum circuit generator that features two new technologies: one that improves phase angle accuracy during phase rotation, and another that automatically generates efficient qubit operation procedures.
Two ERP deployments in seven years is not for the faint of heart,” admits Dave Shannon, CIO of the hardware distribution firm. The company wanted to leverage all the benefits the cloud could bring, get out of the business of managing hardware and software, and not have to deal with all the complexities around security, he says.
With our enterprise know-how and industry expertise, HP Professional Services [2] can help you simplify the complexity of migrating to Windows 11 and modern management with Microsoft Intune by offering a dedicated portfolio of services to ensure your applications [3] , devices and infrastructure are Windows 11 ready.
The aim of the SDM is to migrate existing applications which have been written to run on a mainframe and enable such programs to be run on the x86 runtime environment without recompilation, the judgement reads.
And while some customers experienced sticker shock with the introduction of subscription pricing, VMware had warned customers for years that it planned to move to the industry-standard pricing model, he adds. When they have to do a mass refactoring of applications, its very, very hard. billion in Q4 of 2024.
Its especially attractive as an alternative to MPLS, promising to do for wide-area backbones what the cloud did for compute, storage, and application development. As with other as-a-service offerings, the idea behind BBaaS is to simplify the process of providing secure, high-performance connectivity across geographic regions.
IBM, Microsoft and Boeing all had big announcements to make, with some indications that the industry may be entering a new phase of development. But the software side is even more important when it comes to actual enterprise applications, and, this morning, IBM announced what amounts to a kind of app store for quantum software.
The manufacturing industry is undergoing a renaissance, thanks in part to advances in information technology. Kim Mackenroth is vice president and global CIO of Textron, a Fortune 302 multi-industry company with around 33,000 employees worldwide. Mackenroth: Everything was previously hardware-centric. This is just one example.
Unlike previous hardware refresh cycles, AI PCs represent a foundational shift in how businesses operateleveraging AI to create smarter, more efficient, and agile organization. The cloud remains the go-to for many AI applications due to its unmatched scale and processing power.
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