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Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware. It would take a midsize enterprise at least two years to untangle much of its dependency upon VMware, and it could take a large enterprise up to four years. IDC analyst Stephen Elliot concurs.
In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud. The enterprise data center is here to stay. As we enter 2025, here are the key trends shaping enterprise data centers.
The Uptime Institutes five predictions involve: Public scrutiny and opposition Uptime analysts kicked off their 2025 predictions with the idea that data centers will face intense scrutiny and public opposition due to their growing resource use and environmental impact.
So many rules involve a long process for compliance that absorbs resources while technological evolution and innovation needs run fast. Support for compliance The AI Pacts voluntary commitments are based on the European Commissions call for compliance with at least three key tasks.
But you should also expect some lightning-fast changes in 2025 as artificial intelligence continues to upend the way enterprises and procurement, supply chain, and category management professionals operate. This must-have resource equips you with the insights you need to navigate this complex business environment.
This is good news and will drive innovation, particularly for enterprise software developers. Building for the enterprise As model costs fall and the value from AI migrates up to the application layer, enterprises are going to have even greater choice in business solutions, either from third parties or those developed inhouse.
Enterprises in Germany, Austria, and Switzerland are accelerating their transition to cloud-based ERP solutions, with SAP playing a key role in their digital transformation strategies. However, the increased participation of larger enterprises in this years survey may have also influenced the budget trends.
For day 2, AI can be used to allocate resources, identify and quickly address (and predict) problems in the network, centralize problem identification, automate recommendation and response, resolve lower-level support issues and reduce trouble ticket false positives through confirm-reject analysis, among other capabilities.
HPE and Nvidia added to their joint, prepackaged service offerings that are aimed at helping enterprises support AI workloads. The new release of Data Fabric Software Fabric is the data backbone of the HPE Private Cloud AI data Lakehouse and provides an iceberg interface for PC-AI users to data hosed throughout their enterprise.
Speech is a powerful tool for the enterprise with the ability to unlock insights and automate actions. To answer this question, Deepgram partnered with Opus Research to examine the state of ASR in the enterprise across 400 decision-makers. Where companies are investing resources post-COVID to create a competitive advantage.
Enterprise architecture (EA) has evolved beyond governance and documentation. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. Optimizes costs through better resource allocation and technology lifecycle management. Accelerate transformation by enabling rapid decision-making.
The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. Nvidia has been talking about AI factories for some time, and now it’s coming out with some reference designs to help build them.
Chipmaker Nvidia has released a new open-source inferencing software Dynamo, at its GTC 2025 conference, that will allow enterprises to increase throughput and reduce cost while using large language models on Nvidia GPUs. Globally, the AI inference market is expected to grow from $106.15 billion in 2025 to $254.98
Pressure to implement AI plans is on the rise, but the readiness of enterprise networks to handle AI workloads has actually declined over the past year , according to new research from Cisco. However, between 2023 and 2024, global AI readiness in the enterprise has declined.
Enterprise features. Use this resource to foster a greater awareness of your needs, compare different software solutions in detail, and make worrying about data security a thing of the past. Key management system. User authentication and advanced security factors. Flexibility and scalability.
For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. Todays AI chips often sit idle waiting for data to arrive, wasting computing resources and slowing down results. As GPU processing power increases, the connections between these processors have become the primary limitation.
ServiceNow announced plans to purchase Movework s, its front-end AI assistant and enterprise search technology for $2.85 As agentic AI and enterprise-grade search forever change how we work, ServiceNow moved early to empower employees through AI. billion in cash and stock.
Equinix told Light Reading that the layoffs are a result of the evolution of its services to support changing customer needs, which requires internal adjustments and resource reallocation. Reskilling a necessary next step As AI alters the enterprise landscape, analysts emphasize the importance of upskilling and reskilling existing employees.
Poor resource management and optimization Excessive enterprise cloud costs are typically the result of inefficient resource management and a lack of optimization. Many enterprises also overestimate the resources required, leading to larger, more expensive instances being provisioned than necessary, causing overprovisioning.
Hewlett Packard Enterprise (HPE) has signed a contract exceeding $1 billion to provide AI servers for X, the platform formerly known as Twitter, according to Bloomberg. Strategic implications for enterprises HPEs win is significant for enterprise AI customers looking to build or scale robust AI infrastructures.
With the incremental differences in the major enterprise cloud environments today, that may be enough. For sure, what AWS is announcing simplifies the life of enterprise IT. The key announcements included: Amazon FSx Intelligent-Tiering This is an AWS attempt to try and whittle down cloud costs at the enterprise level.
Verify every request to access enterprisesresources. Implementation, however, has proven difficult for most enterprises. A successful Zero Trust implementation requires centralized management of all the moving pieces in an enterprise network. Trust no one. Continually monitor end user activity for suspicious behavior.
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. Cybersecurity this remains a top priority, with increased resources to combat phishing through user awareness programs.
Amazon Web Services (AWS) has launched a dashboard for its Arm-based Graviton CPU that will measure savings opportunities in an effort to help enterprises further optimize their expenditure on subscribed infrastructure. Further, the cloud services provider revealed that the dashboard typically costs between $50 and $100 per month.
Dedicated Internet Access: Hidden benefits for enterprise customers Speed and reliability are key advantages of DIA. With DIA, businesses can ensure consistent, high-quality interactions with their customerswhether accessing resources or reaching out through support channels.
By only granting access to necessary resources, modern solutions can often provide faster connection speeds compared to VPNs, which might need to route all traffic through a single tunnel. Its really access to an individual resource or application instead of a whole network segment.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. SD-WAN which stands for software-defined wide area network has been around for a decade, pitched to enterprises as a way to cut costs and improve WAN flexibility.
The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3
The challenges often point enterprise companies to also rely on third-party resources for management and monitoring assistance, but that approach doesn’t alleviate the internal staffing challenges for the long term, the study explains. .):
Read our related feature: Enterprises reevaluate virtualization strategies amid Broadcom uncertainty ) However, if youre looking strictly for a replacement on-prem virtualization platform, the analyst firm Data Center Intelligence Group ( DCIG ) has identified five top alternatives to VMwares vSphere platform.
The new service, FortiAppSec Cloud, brings web and API security, server load balancing, and threat analytics under a single console that enterprise customers can use to more efficiently manage their distributed application environments, according to Vincent Hwang, vice president of cloud security at Fortinet.
On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Understandably, many enterprises may want to ‘sweat the assets’ in order to get the most out of their systems, but this tactic comes with risk,” he warns.
Justice Department today sued to block the $14 billion sale of Juniper Networks to Hewlett Packard Enterprise. In its statement, DOJ noted that HPE and Juniper are the second- and third- largest providers, respectively, of enterprise-grade WLAN solutions in the United States. The buy is primarily about AI technology for HPE.
New learning resources from CompTIA are aimed at helping entry-level IT professionals to accelerate their career path to networking and cybersecurity roles.
Enterprises know everything is not moving to the cloud that was the lesson of 2024, and it triggered some extreme reactions that fueled the cloud repatriation stories we all heard. The first step in addressing that challenge, according to enterprises, is addressing why cloud application planning is a challenge in the first place.
Acumatica has released a new “edition” of its cloud-based enterpriseresource planning (ERP) software tailored to the needs of mid-size professional services firms. Time management is specific to the Professional Services Edition as it helps enterprises capture time spent by employees or crews on specific projects or services.
Cisco has rolled out a service that promises to protect enterprise AI development projects with visibility, access control, threat defense, and other safeguards. Model vendors and app builders will implement their own safeguards, but these measures, while necessary, will inevitably be fragmented and insufficient, Patel wrote.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K.
Businesses who own backup software (and have the resources to support their own backup infrastructure) have complete authority over their backup operations, including where the data is stored, how often backups are performed, and how data is secured. However, managing backup software can be complex and resource intensive.
Enterprise IT leaders are facing a double-whammy of uncertainties complicating their data center building decisions: The ever-changing realities of genAI strategies, and the back-and-forth nature of the current tariff wars pushed by the United States. This is obviously a fluid situation. Right now, theres too much variability.
Integrating traffic management, policy enforcement, and role-based access control, Red Hat Connectivity Link is a new technology from IBMs Red Hat business unit thats aimed at simplifying how enterprises manage application connectivity across distributed cloud environments. The Gateway API also has more expressiveness, according to Ferreira.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility.
A user can directly terminate into a cloud exchange point and have the same kind of visibility, governance and control in terms of what resources that user can access on the network.” This allows for more fine-grained control over what resources a user can access. The platform provides administrators with detailed dashboards.
Juniper is joining the Wi-Fi 7 march with new switches and access points that promise higher throughput, lower latency and extended range for enterprise wireless applications. An AI-based Radio Resource Management package is purpose built for Wi-Fi 7 to automate channel/power/multi-link operation. What’s going on with Wi-Fi 7?
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