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The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.
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.
Meta has hired the former CEO of Salesforce AI, Clara Shih, to lead a new “Business AI” group. Shih is now a vice president at Meta and the head of a new business AI group, she said in a post there. Keeping control However, anyone wanting to use the latest Llama 3.2
billion deal, highlighting the growing enterprise shift toward AI-driven automation to enhance IT operations and service management efficiency. After closing the deal, ServiceNow will work with Moveworks to expand its AI-driven platform and drive enterprise adoption in areas like customer relationship management, the company said.
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. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.
The hope is to have shared guidelines and harmonized rules: few rules, clear and forward-looking, says Marco Valentini, group public affairs director at Engineering, an Italian company that is a member of the AI Pact. We hope to work closely with the AI Office to achieve these goals.
But a lot of the proprietary value that enterprises hold is locked up inside relational databases, spreadsheets, and other structured file types. But most enterprises arent using knowledge graphs, says Aslett. But a lot of enterprise data is structured, too. But its very early, he adds. Its still not in production.
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.
Startups with campus-focused network-as-a-service (NaaS) offerings are positioned to capture a substantial portion of the greater NaaS market in the coming years, according to a new report from Dell’Oro Group. Dell’Oro Group segments the CNaaS market into three categories: enabler, turnkey, and LAN-as-a-utility.
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. However, Abhivyakti Sengar, practice director at Everest Group is not convinced with these claims.
This infrastructure addresses bandwidth constraints and communication challenges for enterprises seeking improved global connectivity. Indian enterprises have long been at the mercy of legacy undersea cables low throughput, fragile routes, and indirect paths that added unnecessary latency.
Right now we are trying to get all of the people and groups who want to build Ethernet for AI to collaborate and work together. Ethernet is experiencing significant momentum, propelled by supply and demand factors, according to a recent blog by Sameh Boujelbene, vice president with the DellOro Group.
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. The challenge will be staying competitive in a world where AI amplifies expectations, requiring a growth mindset and clarity on the ultimate goal.
VMware products, especially the ESXi enterprise hypervisor, are high-value targets and have been repeatedly attacked by cybercriminal and cyberespionage groups over the years. Products that include VMware ESXi, such as VMware vSphere, VMware Cloud Foundation, and VMware Telco Cloud Platform, are also impacted.
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.
The so-called AI Renewals Agent is an on-premise, AI-based application that Ciscos internal Customer Experience (CX) group will use to help retain and renew customers more quickly. Ciscos CX group provides customer product lifecycle management services and aims to ensure that customers get what they want out of their technology purchases.
At part of the restructuring, Cisco is combining its networking, security and collaboration teams into one group. Cisco is bringing its entire product portfolio together as one team, Robbins said, and the combined group will be led by Jeetu Patel, Cisco’s executive vice president and chief product officer.
According to inside sources, Chinese companies including ByteDance, Alibaba Group, and Tencent Holdings have ordered at least $16 billion worth of Nvidias H20 server chips for running AI workloads in just the first three months of this year, The Information reported Wednesday. Will it lead to shortages?
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. How does it work? The dashboard is an integration of existing AWS services, such as Amazon S3, Athena, and QuickSight.
Two of the biggest names in artificial intelligence are independently developing new AI tools that encourage learning, at a time when the technology has been criticized for dumbing down smart users in the enterprise and discouraging critical thinking.
According to Synergy Research Group, enterprise spending on cloud infrastructure services was $79 billion worldwide in the second quarter, up $14.1 In 2017, the on-premise data centers of enterprises accounted for 60% of all data center capacity. billion or 22% from the second quarter of 2023.
Gartner predicts that by 2027, 90% of enterprises will use AI to automate day 2 operations, up from just 10% in 2023. The rapid emergence of generative AI, in particular, has brought AI networking to the fore, as enterprise leaders are rethinking every single aspect of their business, networking included.
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.
Advocacy groups are expected to increasingly target data centers to challenge their environmental impact at the same time as the data center industry is poised for massive expansion due to the growing AI demand.
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. Juniper joins a group of vendors offering Wi-Fi 7 products, however general enterprise use of Wi-Fi 7 is still likely a couple years off.
Arista Networks is adding new features to its campus networking portfolio to help enterprise customers more easily group and manage switches. In a nutshell SWAG, which will be available in the second quarter of 2025, lets customers group together up to 48 switches under a single logical IP address cluster.
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. There are a lot of different components that make up a cloud deployment.
The old adage “the enemy of my enemy is my ally” has been borne out again, with AMD and Intel joining forces with a number of their largest partners to create the x86 Ecosystem Advisory Group, a consortium that aims to drive forward the ecosystem around x86 processors. Now why would these two enemies become allies? One word: Arm.
What that indicates is that its pervasive across their customer set and not necessarily concentrated [with one group]. Gravitons success could impact Ampere, which makes Arm-based processors for both the enterprise and the cloud. But the challenge of getting Arm into enterprise data centers lies in all the legacy code.
Accenture and Nvidia announced an expanded partnership Wednesday with Accenture’s new Nvidia business group focused on helping customers rapidly scale AI adoption. She cited cost, complexity, technical debt, data, and talent readiness as common hurdles enterprises face.
Cisco has rolled out a service that promises to protect enterprise AI development projects with visibility, access control, threat defense, and other safeguards. Vulnerabilities can occur at the model- or app-level, while responsibility for security lies with different owners including developers, end users, and vendors, Gillis said.
Hewlett Packard Enterprise (HPE) and Supermicro have separately announced new liquid cooling products to keep up with the heat generated by large-scale AI deployments. In the case of HPE, it showed off a design that offers direct liquid cooling without an expensive component: the fans.
trillion by 2029, up from $430 billion in 2024, according to DellOro Group. Enterprises are now spending about 35% of their data center CapEx budgets on accelerated servers optimized for AI, up from 15% in 2023, says DellOro analyst Baron Fung. As a result, data center CapEx spending will hit $1.1 Much of this growth is due to AI.
Two different groups of researchers published competing papers, claiming to have solved the same problem with classical computers. However, according to Baratz, the two competing groups the Flatiron Institute and the Swiss Federal Technology Institute of Lausanne (EPFL) only tackled a very small subset of the problem.
But as enterprises increasingly experience pilot fatigue and pivot toward seeking practical results from their efforts , learnings from these experiments wont be enough the process itself may need to produce more targeted success rates. A lot of efforts are not gen AI, but they are trying to inject some gen AI things into it, he explains.
The warranty extension and handling RMAs [Return Material Authorizations] will be impacted here, since having RMAs from enterprise customers means higher volumes and financial impact than from just regular consumers.” Or will they be forced to do more and put themselves in a worse position that may impact them long-term?”
For more and more enterprises, it’s an application you run in house. Of 292 enterprises who’ve commented to me on AI plans, 164 say that they believe their real AI benefits will accrue from self-hosting AI, not from public generative services. But what, in terms of actions, does reality look like? What is the “real” AI?
Salesforces updates to its agentic AI offering Agentforce released this week could give the CRM software provider an edge over its enterprise application rivals and hyperscalers including AWS, Google, IBM, Service Now and Microsoft.
Interest in the open-source network operating system SONiC is rising as major networking vendors and start-ups look to offer resources to help enterprises give SONiC a try. A growing community of developers and users believe SONiC could change the way many large enterprises, hyperscalers and service providers run their networks.
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.
CyberSeek is a data analysis and aggregation tool powered by a collaboration among Lightcast, a provider of global labor market data and analytics; NICE, a program of the National Institute of Standards and Technology focused on advancing cybersecurity education and workforce development; and IT certification and training group CompTIA.
Now you can take that signal and just carry it through and thats why theres an efficiency there, says Jimmy Yu, an analyst at the DellOro Group. For the rest of the market, including tier two and three cloud service providers and enterprises, 80% of shipments remained at 100 Gpbs.
Chip juggernaut Nvidia will provide the world’s largest IT services provider support, creating a new business group and helping to launch Accenture’s AI Refinery platform for agentic AI.
CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.
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