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Spending on compute and storage infrastructure for cloud deployments has surged to unprecedented heights, with 115.3% billion, highlighting the dominance of cloudinfrastructure over non-cloud systems as enterprises accelerate their investments in AI and high-performance computing (HPC) projects, IDC said in a report.
Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years.
I am not the first person to tell you that observability is essential to your cloudinfrastructure. Conclusion When you build cloudinfrastructure, you also need to think about what can go wrong. The post Stop organizing scavenger hunts in your cloudinfrastructure appeared first on Xebia.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester. Are they truly enhancing productivity and reducing costs?
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class. Still, IT leaders have their own concerns: Only 39% feel their IT infrastructure is ready to manage future risks and disruptive forces. In tech, every tool, software, or system eventually becomes outdated,” he adds.
But for many, simply providing the necessary infrastructure for these projects is the first challenge but it does not have to be. Another problem is that the adoption of automation in infrastructure is not at the level required. Already, leading organizations are seeing significant benefits from the use of AI.
Du, one of the largest telecommunications operators in the Middle East, is deploying Oracle Alloy to offer cloud and sovereign AI services to business, government, and public sector organizations in the UAE. However, with the rapid adoption of AI and cloud technologies, concerns over security and data privacy are paramount.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. But this scenario is avoidable.
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. In order to make the most of critical mainframe data, organizations must build a link between mainframe data and hybrid cloudinfrastructure. Four key challenges prevent them from doing so: 1.
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 cloudinfrastructure spend to increase 26% compared to 2023.
Days after Oracle missed Q1 2023 revenue expectations and gave a downbeat rest-of-year outlook, sending its share price to suffer the worst one-day performance in 21 years, the cloud provider announced a team-up with Microsoft to co-locate a portion of its infrastructure in the Azure cloud.
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. Notably, S/4HANA Private Cloud usage has surged to 33%, up from 11% last year, while S/4HANA Public Cloud adoption doubled to 13%.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way.
In his role as president, CPO, and COO, Zavery’s responsibilities include ServiceNow’s platform, products, engineering, cloudinfrastructure, and user experience. During his tenure, he helped build Google Cloud into the fourth-largest enterprise software company by increasing annualized revenue from $7 billion to over $41 billion.
Modern transportation networks must address three pivotal security questions: Do you have comprehensive visibility into devices on your ITS network to safeguard critical infrastructure? To help safeguard your systems and our nations critical infrastructure, security must be a priority, not an afterthought.
This approach enabled faster, more reliable and efficient software delivery by automating infrastructure management and the deployment processes. Cloud Around the same time, the Cloud became more and more popular as an environment to run software. We started building Cloud-native software. ’ by Sander and Chris!)
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider The genesis of cloud computing can be traced back to the 1960s concept of utility computing, but it came into its own with the launch of Amazon Web Services (AWS) in 2006. This alarming upward trend highlights the urgent need for robust cloud security measures.
In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success. While many businesses still rely on store-level infrastructure, it's time to embrace the unlimited potential of the cloud!
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.
Some will grab the low-hanging fruit offered by SaaS vendors such as Salesforce and ServiceNow , while others will go deep into laying the enterprise infrastructure for a major corporate pivot to AI. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes.
The Problem — The Complexity of Cloud Environments The complex landscape of cloud services, particularly in multi-cloud environments, poses significant security challenges for organizations. Enhance Security Posture – Proactively identify and mitigate threats to your AWS infrastructure.
Oracle has added a new AI Agent Studio to its Fusion Cloud business applications, at no additional cost, in an effort to retain its enterprise customers as rival software vendors ramp up their agent-based offerings with the aim of garnering more market share. billion in 2024, is expected to grow at a CAGR of 45.8%
As businesses increasingly rely on multi-cloud environments, building cloud resilience becomes critical. In this article, we will explore the key components of cloud resilience and its importance in recovering from outages such as ransomware attacks. Cloud resilience plays a crucial role in recovering from ransomware attacks.
AI cloudinfrastructure startup Vultr raised $333 million in growth financing at a $3.5 The deal was co-led by AMD Ventures , the venture arm of semiconductor company AMD underscoring the fierce competition between chipmakers to provide AI infrastructure for enterprises. Valuation Cohere Raises $500M At $5.5B
Regularly updating dependency mapping, monitoring the integrity of AI models, and securing cloud environments where AI systems are hosted are also key strategies in securing the AI supply chain. The post Securing AI Infrastructure for a More Resilient Future appeared first on Palo Alto Networks Blog.
At Gitex Global 2024, Core42, a leading provider of sovereign cloud and AI infrastructure under the G42 umbrella, signed a landmark agreement with semiconductor giant AMD. The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments.
Data sovereignty and the development of local cloudinfrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.
This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. 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.
Azures growing adoption among companies leveraging cloud platforms highlights the increasing need for effective cloud resource management. Enterprises must focus on resource provisioning, automation, and monitoring to optimize cloud environments. As Azure environments grow, managing and optimizing costs becomes paramount.
Many are reframing how to manage infrastructure, especially as demand for AI and cloud-native innovation escalates,” Carter said. Organizations can maintain high-risk parts of their legacy VMware infrastructure while exploring how an alternative hypervisor can run business-critical applications and build new capabilities,” said Carter.
At the Mobile World Congress (MWC) 2025, Huawei has positioned itself at the forefront of technological innovation, showcasing its latest advancements in 5G, artificial intelligence, and cloud computing. The company unveiled its next-generation 5G infrastructure, promising faster speeds, lower latency, and greater efficiency.
This unprecedented investment will focus on building state-of-the-art data centers, supporting startups, and expanding AI infrastructure to drive both domestic growth and international competitiveness. billion in a global super-scaler cloud, and Oracle investing $1.5
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. Imagine that you’re a data engineer.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Why Hybrid and Multi-Cloud?
As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Meanwhile, GreenOps focuses on reducing the environmental impact of cloud operations.
Yet, despite its potential, cloud computing has not fully leveraged these advantages in managing complex cloud environments. Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services.
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. AWS Amazon Web Services (AWS) is the most widely used cloud platform today.
With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses. FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS).
Its no longer a buzzword, Infrastructure as Code (IaC) is becoming crucial to building scalable, secure, and reliable operations for any organization leveraging the cloud. When combined with Terraform , HCP essentially becomes an effortless method of using the cloud to adopt and administer crucial infrastructure components.
CIOs need to revamp their infrastructure not only to render a tremendous amount of data through a new set of interfaces, but also to handle all the new data produced by gen AI in patterns never seen before. A knowledge layer can be built on top of the data infrastructure to provide context and minimize hallucinations.
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