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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.” We definitely see that our large cloud customers are continuing to refresh on the cloud, but are pivoting very aggressively to AI,” Ullal said. 30, an increase of 7.1%
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?
The cloud can offer financial services firms a flexible and scalable option for storing data and workloads, but a holistic security strategy is critical to ensuring regulatory compliance.
With the incremental differences in the major enterprise cloud environments today, that may be enough. He said that the new services are, not unexpectedly, trying to get enterprises to align with AWS services, which should make it more difficult to later move to a competing cloud platform. “Is
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. By contrast, in some large financial services firms, the role of FinOps has broadened.
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.
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.
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?
At the same time, many organizations have been pushing to adopt cloud-based approaches to their IT infrastructure, opting to tap into the speed, flexibility, and analytical power that comes along with it. In doing so, this generates greater financial flexibility by optimizing the allocation of existing resources.
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.
Artificial intelligence and machine learning are opening opportunities for organizations to program how they want to scale up or down use of cloud resources depending upon current and anticipated future demand.
Not having the right talent can lead to poor resource management performance and unnecessary cloud spending, as well as security risks and compliance issues.
Speaking at Google Cloud Next 25 in Las Vegas, Pichai emphasized how this investment would directly support enterprise customers growing AI workloads while also enhancing core Google services. Googles reaffirmation comes amid economic uncertainty, particularly surrounding recent tariff policies. 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. Much of this growth is driven by investments in AI technologies, and IDC also expects cloud infrastructure spend to increase 26% compared to 2023.
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.
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.
Phishing, infostealer malware, ransomware, supply chain attacks, data breaches and crypto-related attacks are among the top evolving threats in the financial sector, says Sekoia.
>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.
Although no terms of the financial arrangement were given, this does follow a $2 billion round in late 2024 in which Veeam was valued at $15 billion. Also, as part of the partnership, Veeam will integrate Microsoft AI services and machine learning (ML) capabilities into its data resilience platform, Veeam Data Cloud.
The Santa Clara, California-based chipmaker discussed efficiencies in productivity and power consumption through generative AI at the AWS Financial Services Cloud Symposium.
Cloud advances will enable AI breakthroughs, shape cybersecurity and compliance strategies, and provide opportunities for the financially savvy and nimble.
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.
Carrying over 95% of global data traffic from video calls and content streaming to financial transactions and cloud services, these cables power seamless, high-speed, low-latency connectivity across continents. Subsea cables are the invisible lifelines of the digital world of today, said Sharat Sinha, CEO of Airtel Business.
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.
Microsoft on Wednesday reported strong earnings, but the percentage increase in its intelligent cloud operating income has dropped off sharply. But that is the lowest percentage increase in quite some time; in the same quarter of 2024, intelligent cloud operating income grew by $3.6 billion, a 14% boost. billion, a whopping 40%.
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.
With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses. Given that SaaS accounts for a sizable amount of Cloud expenses for businesses of all kinds, including small and medium-sized firms, this addition is essential.
Deepgram is addressing problems like poor customer experience and the financial risk associated with it ($3.7 As call centers migrate to cloud-based solutions, embrace hybrid workforces, and look to leverage AI for automation and compliance, voice technology is becoming essential for delivering better customer experiences.
By Michael Cullum, VP of Engineering at Bud Financial Generative AI (genAI) is a powerful tool that is transforming the financial industry and empowers financial services professionals. GenAI is not just transforming financial services; it’s also inspiring banks to harness the full potential of their transaction data.
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.
Research by the UK’s Competition and Markets Authority (CMA) has uncovered concerns that cloud users’ established commitments with hyperscalers may limit their future cloud computing options. Private clouds and software-as-a-service offerings were considered out of scope.
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.
Infoblox is rolling out a unified management platform to allow customers to see, control and secure IT resources spread across their hybrid multi-cloud enterprises. Another issue is that multi-cloud setups make it difficult to allocate IP addresses effectively across environments.
For instance, CIOs in industries like financial services need to monitor how competitors leverage AI for fraud detection or offer personalized services to inform their IT strategies. Understanding the competitive landscape is also essential.
Worldwide spending on public cloud services is poised to double between 2024 and 2028, reaching a staggering $805 billion this year, according to a new report from IDC. This rapid growth is fueled by the increasing adoption of cloud technology across industries and the accelerating pace of AI innovation, the report added.
To that end, the financial information and analytics firm is developing APIs and examining all methods for “connecting your data to large memory models.” As experts in financial services and commodity markets, there must be standard evaluation methods, he said. I think driving down the data, we can come up with some kind of solution.”
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.
Unity CDP is part of Oracle’s Fusion Cloud Customer Experience (CX) suite. The new updates include an account profile explorer, and features, such as native Oracle Analytics cloud integration, industry onboarding accelerators, and buying group and opportunity scoring.
Regulators in the UK and EU could add real value by pushing for a single coalition with all the major cloud players, rather than ending up with competing ‘open’ coalition camps, as we had in the VHS/Beta video tape standard war, but on a larger scale, according to Phil Brunkard, executive counselor at Info-Tech Research Group, UK.
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?
This ambitious initiative is poised to position ADIB-Egypt at the forefront of the digital banking revolution, transforming how customers interact with their financial services. Machine learning algorithms will enable the bank to analyze customer data and offer tailored financial solutions based on individual needs and preferences.
In addition, regulatory constraints and security concerns are pushing some companies to run their AI in on-premises data centers or in private clouds under their full control. The piece that we were missing was a model store manager,” says Paul Turner, vice president of products in the VMware Cloud Foundation division at Broadcom.
Enterprise-scale AI deployment RHEL AI lets companies deploy workloads where they need them, including cloud, on premises, or on the edge, IDC analyst Michele Rosen says. So you want to have a hybrid cloud infrastructure. I might care that my model knows about my financial department not about the stars in the universe.
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