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The software and services an organization chooses to fuel the enterprise can make or break its overall success. And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud.
Artificialintelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. It took 20 years for the cloud and outsourcing vendors to build up spending to $67 billion a year on servers.
In todays modern business landscape, cloud technology adoption has skyrocketed, driven largely by the rise of artificialintelligence (AI). This shift has completely transformed how businesses operate, with 63% of organizations citing AI as the primary driver for cloud investment.
4-7 with a new portfolio of solutions and an emphasis on its flagship private cloud platform, VMware Cloud Foundation (VCF). That’s where we came up with this vision: people would build private clouds with fully software-defined networks, storage and computing. When it comes to building private clouds , we are the first.
And more is being asked of data scientists as companies look to implement artificialintelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
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.
Red Hat announced updates to Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), with a goal of addressing the high costs and technical complexity of scaling AI beyond pilot projects into full deployment. IDC predicts that enterprises will spend $227 billion on AI this year, embedding AI capabilities into core business operations.
Artificialintelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. Enterprises blocked a large proportion of AI transactions: 59.9%
Kyndryl and Google Cloud are expanding their partnership to help customers use generative AI to move data off the mainframe and into the cloud. Googles Gemini LLMs are integrated into the Google Cloud platform and offer AI-based help across services and workflows, Google stated.
Data centers this year will face several challenges as the demand for artificialintelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new data center developments continues to grow.
FinOps finally became ubiquitous across the enterprise landscape last year with 75% of Forbes Global 2000 companies now all-in, according to IDC. Were 80 to 85% in the cloud and for us, the job is proactively tracking this spend, then educating developers and data teams on how to use cloud capabilities in a cost-effective manner, he says.
AIOps certifications to elevate your IT career : Cisco, IBM, Microsoft, AWS, and others are offering training and certifications that can help IT pros demonstrate expertise in using artificialintelligence for IT operations, or AIOps. Can NaaS mitigate network skills gaps?
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 artificialintelligence (genAI) burst onto the scene, and SD-WAN has fallen out of the industry limelight.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificialintelligence capabilities. The company aims to support customers with a 30-minute service level agreement (SLA), ensuring a high level of enterprise-grade support.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificialintelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.
As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold.
Philipp Herzig, formerly head of cross-product engineering and experience, now leads a new “end-to-end growth area” focused on AI as the company’s chief artificialintelligence officer (CAIO). The aim is to integrate artificialintelligence into every part of the portfolio. SAP is reorganizing its AI activities.
But a lot of the proprietary value that enterprises hold is locked up inside relational databases, spreadsheets, and other structured file types. In April, this tool was integrated into Google Cloud and Vertex AI as part of Googles GraphRAG implementation. But most enterprises arent using knowledge graphs, says Aslett.
AI agents: Agentic AI holds the promise of redefining workflows across the enterprise. Cloud and hybrid deployment options offer flexibility and scalability, allowing organizations to adapt to changing needs. There are a variety of hosting options for AI servers: On-premises, in the cloud or a hybrid scenario.
ArtificialIntelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K. Nutanix commissioned U.K.
The strategys goal is to create a fully AI-powered governance model, one that integrates the latest technologies across every facet of government operations, from cloud computing to automation, enhancing public service delivery and driving sustainable growth.
VMware by Broadcom has unveiled a new networking architecture that it says will improve the performance and security of distributed artificialintelligence (AI) — using AI and machine learning (ML) to do so. For today’s CIO, they need to understand that AI will be the biggest disruptor to networks since the cloud,” he said. “In
Verizon Business has launched AI Connect, an integrated suite of products designed to let businesses deploy generative artificialintelligence (AI) workloads at scale. Vultr plans to expand its cloud footprint and GPU offerings through Verizons connectivity infrastructure.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Much of this growth is driven by investments in AI technologies, and IDC also expects cloud infrastructure spend to increase 26% compared to 2023.
Gartner predicts that by 2027, 90% of enterprises will use AI to automate day 2 operations, up from just 10% in 2023. Artificialintelligence for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations.
As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts. The fact that these applications were not born in the cloud makes efforts to update them laborious at best and sometimes impossible.
At the Mobile World Congress (MWC) 2025, Huawei has positioned itself at the forefront of technological innovation, showcasing its latest advancements in 5G, artificialintelligence, and cloud computing. Huawei Cloud unveiled cutting-edge AI-native cloud services, reinforcing its commitment to intelligent transformation.
In addition, the incapacity to properly utilize advanced analytics, artificialintelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificialintelligence (AI) and evolving cloud strategies are reshaping how they operate. AI-powered automation will streamline repetitive tasks, reduce human error, and enhance operational efficiency by 30-40 %.
But many features — for example, the Joule AI copilot — are included only with the latest cloud solutions such as SAP S/4HANA Cloud and the RISE with SAP and GROW with SAP programs. You want AI to act on behalf of the enterprise, not just capabilities in a single ERP system,” Hays says.
AI spending on the rise Two-thirds (67%) of projected AI spending in 2025 will come from enterprises embedding AI capabilities into core business operations, IDC claims. Cloud providers offer most organizations the least risky way to get started with AI, as they do not require upfront investments or long-term commitments.
Running AI on mainframes as a trend is still in its infancy, but the survey suggests many companies do not plan to give up their mainframes even as AI creates new computing needs, says Petra Goude, global practice leader for core enterprise and zCloud at global managed IT services company Kyndryl. I believe you’re going to see both.”
I would say what were seeing on the enterprise side relative to AI is, its still in the very early days, and they all realize they need to figure out exactly what their use cases are, [but] were starting to see some spending though on specific AI-driven infrastructure. Second, AI inference and enterpriseclouds.
At yesterdays Oracle Cloud Summit in Dubai, the company made several key announcements, highlighting not only its deepening commitment to the region but also the exciting trajectory of AI and cloud adoption across the UAE and KSA. A key point shared during the summit was how the Kingdoms organizations are increasingly investing in AI.
Worldwide spending on public cloud services is poised to double between 2024 and 2028, reaching a staggering $805 billion this year, according to a new report from IDC. This rapid growth is fueled by the increasing adoption of cloud technology across industries and the accelerating pace of AI innovation, the report added.
To ensure every IT initiative directly contributes to measurable business outcomes, CIOs must move from operational managers to strategic partners, collaborating with business leaders to align IT decisions with enterprise goals. This can lead to investments that do not deliver tangible outcomes.
With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. Analysts say the big three hyperscalers and cloud management vendors are aware of the gap and are working on it.
Generative and agentic artificialintelligence (AI) are paving the way for this evolution. platform is a modular, cloud-agnostic architecture with embedded AI agents so that clients can quickly scale AI across their business, in cloud and hybrid environments, said Wyatt Bennett, AI platform product lead at EXL.
Data protection platforms also proactively manage and monitor data, making it available and accessible for advanced analytics, artificialintelligence, and machine learning. Download our editors’ PDF hybrid cloud data protection buyer’s guide today!] And 80% of enterprises have adopted a hybrid computing model.
And some large, cutting-edge enterprises are already beginning to spend money on quantum technology. Error correction is vital for enterprise users of quantum computing, says Yoram Avidan, CTO of Citigroups Innovation Lab and global head of Citi Accelerator. Full cloud deployment is also possible per customer request.
Research by the UK’s Competition and Markets Authority (CMA) has uncovered concerns that cloud users’ established commitments with hyperscalers may limit their future cloud computing options. Private clouds and software-as-a-service offerings were considered out of scope.
Jeff Schumacher, CEO of artificialintelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” AI can transform industries, reshaping how students learn, employees work, and consumers buy.
The 18th Annual IDC Middle East CIO Summit is set to explore the dynamic world of artificialintelligence and its potential to drive business success. e& enterprises leadership in driving digital transformation in the region is unmatched, and together we aim to empower the ICT ecosystem to thrive in an AI-dominated era.
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