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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. In particular, AI’s integration into government services will streamline and improve efficiencies across multiple sectors.
In the first half of this year, 38% of organizations had at least one cloud workload that was critically vulnerable, highly privileged, and publicly exposed, according to a study of telemetry from customers of cloud security vendor Tenable released this week. The cloud is a tool like any other; how you use it is what matters,” he said.
In a move to establish itself as a global leader in AI-driven government, the government of Abu Dhabi has unveiled its ambitious Abu Dhabi Government Digital Strategy 2025-2027. This program emphasizes the importance of upskilling the population, preparing citizens to be active participants in the digital future of their city.
In a landmark move, the Abu Dhabi Government, Microsoft, and Core42 was made in the presence ofH.H. USD billion investment in digital infrastructure under the Abu Dhabi Government Digital Strategy 2025-2027. The initiative is backed by a significant 3.54
To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. Read this whitepaper to learn: How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead.
AWS and Microsoft could potentially face an investigation of their cloud businesses in Britain should the Competition and Markets Authority (CMA) follow the recommendation of an independent inquiry group that reports into the UKs antitrust regulator. In its report, the inquiry group concluded that competition in the 9 billion (US$11.2
These switches are specifically designed for AI workloads in accelerated computing platforms deployed at cloud scale. Founded in 2017, Astera Labs is a semiconductor company that specializes in developing connectivity technologies for AI and cloud infrastructure. how governance has changed, and what to expect next. Wireshark 4.4
The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive.
Nobody wants to waste money on cloud services. But by failing to fully address a handful of basic issues, many IT leaders squander funds on cloud services that could be used to support other important projects and initiatives especially as AI comes along to alter the cloud economics equation.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption).
There are a lot of different components that make up a cloud deployment. How many of those components, across multiple cloud environments, is the typical enterprise actually backing up for proper disaster recovery ? Thats a question that cloud infrastructure automation startup ControlMonkey is helping enterprises to help answer.
With the rapid advancement and deployment of AI technologies comes a threat as inclusion has surpassed many organizations governance policies. Governance is also seen as a roadblock to the agility needed to quickly deploy into production. Leaving 55% saying that their organization had not yet implemented an AI governance framework.
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. Its that some things are, and should be, moving to the cloud. The top strategy so far is what one enterprise calls the Cloud Team.
Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. Read this paper to learn about: The value of cloud data lakes as the new system of record.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
One of the most significant enablers of digital transformation is cloud computing. Strategic options for cloud adoption When it comes to cloud adoption, organizations have several strategic options to consider. Public cloud. Private cloud. Hybrid cloud. Multi-cloud.
IT professionals have been striving to manage cloud costs effectively since the inception of cloud computing. Those efforts have evolved into FinOps , a business discipline and a set of best practices to optimize cloud spending. See also: Will FinOps help reduce cloud waste in organizations?
“In his role as president, CPO, and COO, Zavery’s responsibilities include ServiceNow’s platform, products, engineering, cloud infrastructure, 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.
And while the maturity of those practices varies, large organizations at the forefront of FinOps are scaling up and out, driving the cloud optimization practice into new areas of IT, including as a way to get a handle on spiraling AI costs. And its FinOps principles arent limited to public cloud or SaaS.
Data centers this year will face several challenges as the demand for artificial intelligence 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.
2024 gave leaders the opportunity to pause, take a breath and see what kind of investment they need to make for best use scenarios in terms of talent and technology.”
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.
Two critical areas that underpin our digital approach are cloud and artificial intelligence (AI). Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. That said, were not 100% in the cloud.
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.
Regardless of where they are on their AI journey, organizations need to be preparing existing data centers and cloud strategies for changing requirements, and have a plan for how to adopt AI, with agility and resilience, as strategies evolve,” said Jeetu Patel, chief product officer at Cisco. Effective AI governance has become more difficult.
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.
Its “backbone as a service” gives customers the ability to connect branch locations, cloud workloads and applications through Alkira’s fabric. 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.”
The big investments in generative AI may eventually rival traditional cloud investments but that does not mean top cloud providers — all of whom are top AI platforms providers — will suffer. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes.
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 cloud infrastructure. Four key challenges prevent them from doing so: 1.
The Singapore government is advancing a green data center strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Virtualization and cloud computing help consolidate workloads and optimize resource utilization, the idea goes. The city state aims to increase its existing 1.4
The US government could designate cloud providers including Google and Microsoft as global gatekeepers for advanced AI chips, a step widely viewed as the latest effort to block Chinas access to this critical technology, according to a Reuters report.
The UK government added data centers to its list of protected critical national infrastructure (CNI) on Thursday, the first change to its CNI list since 2015, when it added the space and defense sectors. The government is including physical data centers and cloud operators such as Microsoft, AWS, and Google Cloud in the CNI designation.
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Cloud storage. Cloud computing. Ensure data governance and compliance. Application programming interfaces.
The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. The choice of vendors should align with the broader cloud or on-premises strategy. However, this landscape is rapidly evolving.
HPE Aruba this week made its cloud-based network management and orchestration platform available via new deployment options, offering customers virtual private cloud (VPC) and on-premises alternatives. The platform can now be deployed in four distinct options, including a network-as-a-service (NaaS) model.
The US Commerce Department is intensifying its actions against China Telecoms US unit over concerns that its cloud and internet services could be used to funnel American data to Beijing, according to a Reuters report. The sustainability of the digital environment and ecosystem relies heavily on the trust it provides to its stakeholders.
Broadcoms decisions to replace perpetual VMware software licenses with subscriptions and to eliminate point products in favor of an expensive bundle of private cloud tools are driving longtime VMware customers to look for an exit strategy. For customers looking elsewhere, theres no shortage of alternatives. Lets talk about risk reduction.
To capitalize on AI, organizations must fortify cloud environments with robust data management, zero-trust policies, enterprise governance, FinOps and organizational change management.
AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.
The cloud market continues to grow at an accelerated rate, defying the economic pressures that are stifling the rest of the industry. Spending on cloud services is in turn driving massive investment in equipment , which is good for the IT vendors because the on-premises data center market is largely flat.
Benefits of using small modular reactors Data center power usage is set to surge in the coming years, driven by cloud computing and AI. If anything, the commissioning and use of these SMRs need to be tightly governed and periodically scrutinized, as there are still many unknowns.”
The traditional reliance on firewalls and VPNs for cybersecurity is proving inadequate in the face of mounting cyberthreats and changes to network designs due to the cloud. For those striving to fit existing infrastructure into a modern cloud-first stance, adopting a Zero Trust framework is crucial.
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