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During the vendor’s third-quarter financial call, Arista CEO Jayshree Ullal said she is “pleasantly surprised with the faster acceleration of AI pilots in 2024.” Arista has between 10 and 15 classic enterprise accounts that are trialing AI networks, but they have a very low number of GPUs involved in the pilots, Ullal said.
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.
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.
Our AI infrastructure orders with webscalers in Q2 surpassed $350 million, bringing our year-to-date total to approximately $700 million, and we are on track to exceed $1 billion of AI infrastructure orders in fiscal year 25, Cisco CEO Chuck Robbins said during the vendors financial call. Second, AI inference and enterprise clouds.
Discover how these strategies can boost your enterprise'sfinancial health, helping not only to keep up but to excel in today's market. This GEP bulletin, "Strategic Cost Management Approaches to Unlock Growth and Increase Profitability," breaks this down into clear, actionable steps.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. To learn more about how enterprises can prepare their environments for AI , click here.
The software and services an organization chooses to fuel the enterprise can make or break its overall success. Here are the 10 enterprise technology skills that are the most in-demand right now and how stiff the competition may be based on the number of available candidates with resume skills listings to match.
Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.
The company’s sales forecasts have been downgraded, its auditor resigned, it failed to provide a timeline for official financial statement filings, and it has been accused of shady internal accounting dealings. Prior to this, the company missed the August deadline to file its annual 10-K financial report.
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.
Every enterprise must assess the return on investment (ROI) before launching any new initiative, including AI projects,” Abhishek Gupta, CIO of India’s leading satellite broadcaster DishTV said. AI costs spiral beyond control The second, and perhaps most pressing, issue is the rising cost of AI implementation.
But what goes up must come down, and, according to Gartner, genAI has recently fallen into the “trough of disillusionment ,” meaning that enterprises are not seeing the value and ROI they expected. Enterprises are, in fact, already seeing significant value when properly applying AI.
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. Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow.
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. The financial scope of the deal underscores its significance. The agreement could also set a precedent for other enterprises, particularly within Musks ecosystem.
Enterprises are wrestling with a gamut of tools and technologies that are always changing, he says. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications. By comparison, SUSE, which last reported its financials in 2023, had about $0.67
Pressure to implement AI plans is on the rise, but the readiness of enterprise networks to handle AI workloads has actually declined over the past year , according to new research from Cisco. However, between 2023 and 2024, global AI readiness in the enterprise has declined.
Cloud training for AI models Uptime believes that most AI models will be trained in the cloud rather than on dedicated enterprise infrastructure, as cloud services provide a more cost-effective way to fine-tune foundation models for specific use cases.
It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT As experts in financial services and commodity markets, there must be standard evaluation methods, he said.
Financial regulations exist to ensure stability and trust in global banking systems. They protect customers, preserve systemic integrity, and help mitigate risks of financial crises. Despite their differences, both emphasize the interconnected nature of financial systems.
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?”
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. AI-powered automation will streamline repetitive tasks, reduce human error, and enhance operational efficiency by 30-40 %.
With the incremental differences in the major enterprise cloud 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.
Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses.
FinOps finally became ubiquitous across the enterprise landscape last year with 75% of Forbes Global 2000 companies now all-in, according to IDC. By contrast, in some large financial services firms, the role of FinOps has broadened. Plus, many enterprises were doing FinOps well before the term was coined.
Why SD-WAN is still critical to the enterprise SD-WAN connects users, applications, and data across locations within a hybrid environment. Gartner predicts that 70% of enterprises will have implemented SD-WANs by 2026, up from around 45% in 2021. The increasing demand for SD-WAN and its continued evolution highlights its importance.
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. That doesn’t mean you’ve given up on AI, just that you’ve faced reality.
Legacy issues around performance, speed, availability and latency still cause headaches, and outages risk financial and reputational damage — just look at the CrowdStrike outage ramifications , which will no doubt continue for years to come. Today’s networks face a multitude of challenges as they become more complex and distributed.
The growing role of FinOps in SaaS SaaS is now a vital component of the Cloud ecosystem, providing anything from specialist tools for security and analytics to enterprise apps like CRM systems. Despite SaaS’s widespread use, its distinct pricing and consumption methods make cost management difficult.
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.
Currently we are seeing this phenomenon with the new chief AI officer role being established in some enterprises. There has also been the establishment of the chief transformation officer , as some enterprises have chosen to give the keys to making change happen to another C-suite executive.
The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.
Deepgram is addressing problems like poor customer experience and the financial risk associated with it ($3.7 High accuracy for enterprise-grade performance. Its aimed at businesses and developers who need accurate and scalable transcriptions for applications like call centers, video captioning, voice assistants and more.
>To help insurance brokerages tie in disparate systems to manage their operations and increase employee productivity, CRM software provider Salesforce has introduced a new offering in preview, the Financial Services Cloud. In addition, Financial Services Cloud can be used to service property and casualty insurance clients as well.
By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm.
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.
From the start, Meta has made the Llama models available to other enterprises under a license it describes as “open source,” but the creation of the new business group makes clear that Meta’s interest is commercial, not philanthropic. Keeping control However, anyone wanting to use the latest Llama 3.2
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.
For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. The phased release gives enterprises time to evaluate how optical interconnect technology might fit into their future infrastructure roadmaps.
With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.
Financial aid fiasco In March, the US Department of Education said it discovered an error in the calculations of financial aid for hundreds of thousands of college students, leading to a delay in aid awards. At the same time, the departments overhaul of the FAFSA form created delays in the financial aid application process.
Bank holding company Ally Financial is determined to stay at the cutting edge of technology in the financial industry. But Ally is part of a highly regulated industry, which has seen many banks and financial institutions delayed by regulations. Today, that means leveraging gen AI to transform its business. Allys answer?
Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use.
The average organization adds or updates some 300 services every month, creating a significant challenge for security teams charged with protecting enterprise cloud-based resources, notes Unit 42.
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