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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. And if you slow down AI, that will slow down the data centers.
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.
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. Talent is the problem, enterprises say. The lesson for 2025?
Cisco and Google Cloud have expanded their partnership to integrate Ciscos SD-WAN with the cloud providers fully managed Cloud WAN service. That lets customers use existing Cisco SD-WAN security policies and controls in the Google Cloud, Cisco stated. The Cloud WAN service is designed to simplify those challenges.
Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.
Fortinet has melded some of its previously available services into an integrated cloud package aimed at helping customers secure applications. Managing application security across multiple environments isn’t easy because each cloud platform, tool, and service introduces new layers of complexity.
IBM Cloud is broadening its AI technology services with Intel Gaudi 3 AI accelerators now available to enterprise customers. Enterprises can scale from a single node (eight accelerators) with a throughput of 9.6 Intel Gaudi 3 can be deployed through IBM Cloud Virtual Servers for virtual private cloud (VPC) instances.
With the incremental differences in the major enterprisecloud 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.
Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. According to Goldman Sachs , data center demand in the US alone is projected to nearly triple by 2030, driving more than $1 trillion in investment.
Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage clouddata lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.
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. Its enterprise-grade. For customers looking elsewhere, theres no shortage of alternatives.
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.
Kyndryl has taken the wraps off a suite of private cloud services designed for enterprise customers that want to rapidly deploy AI applications in production environments. Kyndryl is incorporating Nvidias AI Enterprise software platform and NIM inference microservices in the Kyndryl Bridge integration platform , for example.
Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The ALE Private 5G service includes technology from across ALEs platforms, including ruggedized OmniSwitch hardware, OmniSwitch LAN, and OmniAccess Stellar WLAN software for local and wide area connectivity.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.
Now, Fortinet has added FortiAI support to its FortiNetwork Detection and Response (FortiNDR) Cloud package. FortiNDR Cloud is designed to enable threat hunters to easily view detections and observations that correlate to their queries. Lacework helps customers manage and secure cloud workflows.
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. We see this more as a trend, he says.
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). An organizations data architecture is the purview of data architects. Curate the data.
Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging clouddata lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
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.
Palo Alto Networks is teaming with NTT Data to allow the global IT services company to offer an enterprise security service with continuous threat monitoring, detection and response capabilities. NTT Data offers a wide range of IT services, and its competitors include Accenture, Infosys, IBM and Tata.
However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms.
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.
Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.
Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” I would have to say yes.”
In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.
Infoblox and Google Cloud announced a partnership that powers new products from each company that they say will help enterprise organizations accelerate their cloud adoption with advanced networking and security capabilities. Gupta said.
In a move closely watched by enterprise technology leaders, Alphabet CEO Sundar Pichai has reaffirmed Googles commitment to spending $75 billion this year on AI infrastructure and data centers weeks after Microsoft reportedly abandoned many of its data center projects. For enterprises, this changes the calculus.
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. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.
Artificial intelligence 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. The reality of what can be accomplished with current GenAI models, and the state of CIO’s data will not meet today’s lofty expectations.”
Massive global demand for AI technology is causing data centers to increase spending on servers, power, and cooling infrastructure. As a result, data center CapEx spending will hit $1.1 As a result, just four companies Amazon, Google, Meta, and Microsoft will account for nearly half of global data center capex this year, he says.
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.
Solidigm, a provider of NAND flash solid-state drives, and memory giant Micron have each introduced very high-capacity SSD drives meant for enterprisedata centers, particularly in AI use cases. Solidigm intros 122TB PCIe SSD Solidigm unveiled its highest capacity PCIe drive yet, the 122TB Solidigm D5-P5336 data center SSD.
AWS, Microsoft, and Google may continue to dominate the enterprisecloud market, but a raft of second-tier cloud providers are proving to be valuable partners for organizations and innovators with specialized workloads and use cases especially in the burgeoning AI era. Athos Therapeutics is one such enterprise.
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. “Our
Causal, predictive, and generative artificial intelligence (AI) have become commonplace in enterprise IT, as the hype around what AI solutions can deliver is turning into reality and practical use cases. Autonomous AI agents are software entities capable of performing tasks on their own, rather than only responding to queries from humans.
While many organizations have already run a small number of successful proofs of concept to demonstrate the value of gen AI , scaling up those PoCs and applying the new technology to other parts of the business will never work until producing AI-ready data becomes standard practice. This tends to put the brakes on their AI aspirations.
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.
Red Hat is updating its OpenShiftplatform with a series of capabilities that will provide more advanced networking and virtualization functionality for cloud-native deployments. BGP support extends cloud-native networking OpenShift 4.18 OpenShift is Red Hats commercially supported Kubernetes distribution. In particular, OpenShift 4.18
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.
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. IBM Institute for Business Value (IBV), in collaboration with Oxford Economics, surveyed 2,551 global IT executives to determine how mainframes are being used and prepped for increased use in AI and hybrid cloud environments.
A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Mainframes hold an enormous amount of critical and sensitive business data including transactional information, healthcare records, customer data, and inventory metrics.
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.
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