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While the IEEE P802.3dj project is working toward defining 200G per lane for Ethernet by late 2026, the industry is (loudly) asking for 400G per lane yesterday, if not sooner, Jones wrote in a recent Ethernet Alliance blog. subsidiary of Huawei, and the chair of the IEEE P802.3dj 200Gb/sec, 400Gb/sec, 800Gb/sec and 1.6Tb/sec Task Force.
By 2026, 30% of enterprises will automate more than half of their network activities, according to Gartner. The application of automation across infrastructure and operations will deliver significant gains, according to Gartner. Read more about network automation DIY or commercial network automation?
Why SD-WAN is still critical to the enterprise SD-WAN connects users, applications, and data across locations within a hybrid environment. Gartner predicts that 70% of enterprises will have implemented SD-WANs by 2026, up from around 45% in 2021. This has become so important that organizations look for self-healing SD-WAN solutions.
The L200, coming in 2026, will be available in 32 Tbps and 64Tbps versions. 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.
billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale.
While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. It will have to be done by mid-2026, which is a tight timeframe, but Cisco only sees benefits to being part of the AI Pact, Quattrocchi points out.
While the articles focus is on GenAI, many of the strategies discussed here are broadly applicable to other innovations in IT, as they provide CIOs with a flexible framework for balancing costs and opportunities presented by emerging technologies. million in 2026, covering infrastructure, models, applications, and services.
Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. GenAI-enabled virtual assistants, such as ChatGPT, have attracted much attention, but a huge number of GenAI applications and use cases go even further.”
As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents. For example, Microsoft has talked about how AI agents will impact application development. They dont just share information; they collaborate, reason, and take autonomous actions in real-time.
Developers must comply by the start of 2026, meaning theyll have a little over a year to put systems in place to track the provenance of their training data. Multi-model routing Not to be confused with multi-modal AI, multi-modal routing is when companies use more than one LLM to power their gen AI applications.
OEMs that have shipped or are readying AI PCs for 2025 or 2026 include Dell, Acer, Asus, HP, Lenovo, Samsung, and Microsoft. Allocating some AI workloads to PCs offers CIOs other benefits, he says, noting that Microsoft will continue to make its Copilot+ applications available in the cloud. But these are early days, IDCs Mainelli says.
Defined in the Information Technology Infrastructure Library (ITIL), CMDBs include data on the hardware, software, and infrastructure used by the applications and services provided by an IT organization. Device42 integrates with other applications used in managing IT Infrastructures such as ITSM and orchestration.
At a rough guess the CIO of an average-size enterprise, following this methodology, would be ready to launch sometime in 2026. It might be an unrationalized applications portfolio. You can certainly do this. Except that they wouldnt, as theyd have been tossed onto the Career Is Over pile long before the roadmap was ready for approval.
By 2026, “there will start to be more productive, mainstream levels of adoption, where people have kind of figured out the strengths and weaknesses and the use cases where they can go more to an autonomous AI agent,” he says.
Boeing announced today that its quantum satellite, named Q4S, will launch in 2026 to demonstrate quantum entanglement swapping capabilities on orbit. Europe and Canada have plans to launch satellites in 2025 or 2026. We are leading the way to operationalize and scale quantum technologies for global applications.”
The path of least resistance is to purchase genAI capabilities through existing applications. Within the enterprise, AI will act as an assistant, advisor, agent or all three, changing business processes, applications and daily work tasks. However, not all use cases are being addressed in commercially available apps.
But 2025 and 2026 will bear good news, according to Deloitte. Its newly appointed CEO, Romain Fouache, is bringing Australian retailers a collection of cloud-based technologies, including Product Information Management (PIM), Syndication, and Supplier Data Manager capabilities to rapidly scale the depth and maturity of their AI applications.
In the big picture, networking pros must have the skills to enable the integration of new AI applications with the underlying AI infrastructure. It has expedited the thought around how we utilize AI, machine learning, and automation to better ourselves and our organization. Yet network automation lags behind other automation initiatives.
“The explosive growth of hyperscale data centers for GenAI applications is creating an unprecedented demand for power,” Bob Johnson, VP Analyst at Gartner said in the research firm’s latest report. An AI hyperscale data center can consume as much as 100 MW of power.
CDNA 3 is based on the gaming graphics card RDNA architecture but is expressly designed for use in data center applications like generative AI and high-performance computing. And in 2026, the AMD Instinct MI400 series will arrive, based on the AMD CDNA “Next” architecture.
By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. “We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. Next year, that spending is not going away.
The new features appear in its Oracle Transportation Management and Oracle Global Trade Management applications, and include expanded business intelligence capabilities, enhanced logistics network modelling, a new trade incentive program, and an updated Transportation Management Mobile application. billion annually in 2026, up from $5.3
Dazz’s Unified Remediation Platform gives CISOs holistic visibility across all their on-premises and cloud environments while also providing application security posture management (ASPM) and continuous threat and exposure management (CTEM) capabilities. Dazz’s latest round, a $50 million Series B, was secured in July 2024.
Both industry and academia will have quick access to hardware, training and support for AI applications. Together, the seven AI factories will more than double the EUs data capacity in 2025-2026. Today, we are one step closer to establishing AI factories.
Research firm Gartner is also bullish on network automation, forecasting that 30% of enterprises will automate more than half of their network activities by 2026 , up from only 10% in mid-2023. Gartner also predicts that businesses embracing enterprise-wide automation will deliver much higher service quality, while also cutting costs.
This next generation processor, dubbed Aurora, is not due until 2026. Aurora offers powerful AI compute capabilities for workloads like RAG and vector databases, but Wittich said it will support all types of enterprise applications, not just cloud. “So But don’t be planning to place an order just yet.
Businesses can start small, training small-scale models, fine-tuning models, or deploying applications like chatbots, natural language search, and using forecasting tools using Nvidia L40S and L4 Tensor Core GPUs,” Badlaney wrote. “As In addition, IBM Cloud includes deployment automation capabilities.
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. Capacity of these links will need to increase with AI applications, Cisco’s Gartner said.
EAM can be considered a subset of ERP software, providing tools and applications to manage the lifecycle of physical assets in an enterprise, in order to maximize their value. billion by 2026, from $3.3 Asset Management Software, Enterprise Applications, Mergers and Acquisitions to reach $5.5
By 2026, at least 45% of enterprises will use managed SASE services—an increase of three times from early 2023,” Gartner said in its report, How t o Choose Between Managed SASE Services. Cato applies optimization and acceleration to all traffic going through the backbone to enhance application performance and the user experience.
Secure Access Service Edge (SASE) is a network architecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025.
The key to truly scaling beyond initial deployments is having a collaboratively safe robot, which Agility has made a pledge to release in 2026, Brown says. robot, which has garnered significant attention and secured funding and a partnership with BMW for manufacturing applications.
A recently published patent application demonstrates this usage, describing the deployment of drones in sub-surface terrain to capture images. One example is the Aramco-IBM Innovation strategic partnership, which through SAIL is expected to be operational in early 2026,” said Amin H. Nasser Saudi Aramco President & CEO during LEAP.
is designed to enable enterprises to fine-tune AI models using proprietary datasets to create customized, enterprise-specific applications. Previously, Inflection AI’s Pi consumer application operated on Nvidia GPUs. The latest platform, Inflection 3.0,
To help meet demand from enterprises that are shifting asset management methods from legacy applications to cloud-based technology, ERP provider IFS has signed an agreement to acquire Netherlands-based enterprise asset management (EAM) software firm Ultimo. billion by 2026, from $3.3 Enterprise Applications, ERP Systems
“Austin, Trevor and the whole Starfish team have proven their ability to execute complex missions on orbit, and we are excited to be partnering with them as they deliver Otter for critical customer applications.” Last month, Starfish won a study contract from the National Reconnaissance Office to look into further applications for Otter.
Modern applications and multi-cloud strategies drive digital transformations that make this success possible, and businesses are under pressure to get better and faster at delivering applications and services to their customers, employees, and stakeholders.
That ritual of logging on to an Amazon Chime meeting will become a thing of the past with the news that the company is ending support for its meeting and calling application one year from now, on Feb. It’s an example of Amazon paring back in an area where its impact was limited beyond its own virtual walls.
Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs.
This challenge will become more urgent, as IDC predicts the amount of data created will grow to 221 ZB by 2026 3. . For instance, GPUs are more energy-efficient than CPUs because their memory architecture specializes in supporting high-speed data streaming for intensive applications. High-performance computing and supercomputing.
This challenge will become more urgent, as IDC predicts the amount of data created will grow to 221 ZB by 2026 3. . For instance, GPUs are more energy-efficient than CPUs because their memory architecture specializes in supporting high-speed data streaming for intensive applications. High-performance computing and supercomputing.
In fact, in a recent IDC study , 60% of CIOs stated they are already planning to modify their operating model to manage value, agility, and risk by 2026. It can automate tasks such as deploying a new distributed application for users in the home and office. When you have improved end-to-end visibility, you can react more quickly.
As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. AI-enabled smartphones, those containing chips powerful enough to run AI applications, are already coming to the market.
So, there’s no single approach that works for everyone, and even the best technology will not deliver a great return on investment if your applications and data remain in silos. At the same time, many on-premises applications are moving to the cloud.
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