This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years.
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?
What does a cloud architect do? Cloud architects are responsible for managing the cloud computing architecture in an organization, especially as cloud technologies grow increasingly complex. Its an advanced job title, with cloud architects typically reporting to the IT director, CIO, CTO, or other technology executives.
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.
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.
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.
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 cloudinfrastructure spend to increase 26% compared to 2023.
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 cloudinfrastructure. Four key challenges prevent them from doing so: 1.
Data sovereignty and the development of local cloudinfrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.
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.
For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability.
Data sovereignty and local cloudinfrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers.
With hybrid on-prem and cloud-deployed solutions and differences of capability and alignment between organizations and their suppliers, this can be a real challenge! Ecosystem warrior: Enterprise architects manage the larger ecosystem, addressing challenges like sustainability, vendor management, compliance and risk mitigation.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider The genesis of cloud computing can be traced back to the 1960s concept of utility computing, but it came into its own with the launch of Amazon Web Services (AWS) in 2006. This alarming upward trend highlights the urgent need for robust cloud security measures.
Few CIOs would have imagined how radically their infrastructures would change over the last 10 years — and the speed of change is only accelerating. To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates.
Gleb Polyakov is co-founder and CEO of Nylas , which provides productivity infrastructure solutions for modern software. As demand continues to grow, companies are taking advantage of the benefits productivity infrastructure brings to their organization both internally and externally, especially as many determine the future of their work.
This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.
Cloud computing Average salary: $124,796 Expertise premium: $15,051 (11%) Cloud computing has been a top priority for businesses in recent years, with organizations moving storage and other IT operations to cloud data storage platforms such as AWS.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
The Problem — The Complexity of Cloud Environments The complex landscape of cloud services, particularly in multi-cloud environments, poses significant security challenges for organizations. Enhance Security Posture – Proactively identify and mitigate threats to your AWS infrastructure.
Azures growing adoption among companies leveraging cloud platforms highlights the increasing need for effective cloud resource management. Enterprises must focus on resource provisioning, automation, and monitoring to optimize cloud environments. As Azure environments grow, managing and optimizing costs becomes paramount.
An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions. As AI usage spreads, data frequently moves between different infrastructures, making it harder to keep track of and protect.
Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Malik emphasized that compliance is not just an add-on for Huawei but a core part of their comprehensive assurance mechanism. Huawei takes pride in its compliance,” Malik explained. “We
With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses. FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS).
In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Why Hybrid and Multi-Cloud?
Just because you’re a startup doesn’t mean you can be careless with the data you’re handling, but enterprise-grade compliance and privacy used to be prohibitively expensive for small teams. However, meeting governance, risk and compliance (GRC) standards and proving that you’ve done so used to be very expensive.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
Yet, despite its potential, cloud computing has not fully leveraged these advantages in managing complex cloud environments. Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services.
Thats really what the ServiceNow AI Platform is built for: any agents, in any workflows, for any industry, on any cloud, with any data, all on one platform. Through the control tower, customers can govern and secure AI agents, models, and workflows from a single pane of glass.
To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation due to limited resources and overwhelming demand for their support.
But the company had the vision of building a broad platform of services to deal with not just privacy, but also data security, governance and compliance. Today, it launched its comprehensive data security cloud called DataControls Cloud, and announced a $75 million Series C.
There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.
DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties. Governance and compliance reporting: Meeting governance standards is vital for avoiding fines and reputational damage.
With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. For instance: Regulatory compliance, security and data privacy. Legacy infrastructure. Scalability.
To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies. From an implementation standpoint, choose a cloud-based distillery that integrates with your existing cloudinfrastructure.
Mismanaging configurations in your multi-cloud environment can put you at an elevated risk for cyber attacks. In the first installment of our Stronger Cloud Security in Five blog series, we outline five best practices for boosting your cloud configuration management. A publicly accessible and unprotected cloud database.
As they consider upgrading their identity management solutions, they can stay with SAP as it evolves to encompass cloud and SaaS environments or migrate to a more comprehensive identity governance solution that provides deep visibility and control across the enterprise. [1] Maintaining regulatory compliance is also a must.
CIOs manage IT infrastructure and foster cross-functional collaboration, driving alignment between technological innovation and sustainability goals. These frameworks extend beyond regulatory compliance, shaping investor decisions, consumer loyalty and employee engagement.
This approach not only reduces risks but also enhances the overall resilience of OT infrastructures. – These OT-specific workflow capabilities ensure secure, seamless access to IT, OT and cloud applications for your distributed workforce across employees and partners.
With increasing data privacy and security regulations, geopolitical factors, and customer demands for transparency, customers are seeking to maintain control over their data and ensure compliance with national or regional laws. VMware Sovereign Cloud Providers design their systemswith security at their core.
In my many customer conversations at our recent European user conference, VMware Explore Barcelona, one message was clear: The strategic importance of data is fueling demand for sovereign cloud services. It also guidesyour national cloud providers to deliver sovereign cloud services that comply with national laws.
In the first installment of Tenables Stronger Cloud Security in Five blog series, we covered cloud security posture management (CSPM), which focuses on protecting your multi-cloudinfrastructure by detecting misconfigurations. Clearly, cloud workload integrity is essential.
The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. Applying shadow IT’s lessons to Generative AI As organizations build their AI strategies, the lessons from the cloud era can be particularly invaluable.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content