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Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The Private 5G solution offers large-area wireless coverage, secure and reliable high-speed mobility, supporting real-time, critical industrial applications, ALE stated.
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.
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. With AI and data proliferating everywhere in the enterprise, AI and data are no longer centralized assets that IT directly controls.
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. In addition, 61% of executives said using generative AI for application modernization efforts on mainframes is important to their organization.
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.
Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. Zscaler Figure 1: Top AI applications by transaction volume 2.
IT teams fail at rewriting applications on the first try An important element of IT modernization is modernizing legacy applications to work more efficiently, sometimes in new environments. The trouble is that application rewrite projects have a high failure rate.
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.
Google Cloud has partnered with database and mainframe modernization software provider mLogica to help enterprises modernize their mainframe applications. This allows enterprises to compare and validate refactored applications before completely shifting to the cloud.
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. The idea is to help streamline and accelerate the creation, deployment and management of generative AI-based applications for the enterprise, according to Cisco.
Zero-trust security is essential to enterprises that are converging operational technology (OT) with IT infrastructure. New research from Enterprise Management Associates (EMA) identified how this convergence influences zero-trust strategy and implementation. Instead, they place a greater premium on management simplicity.
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.
The goal of the Kyndryl/Google Cloud service is to make it easier for organizations to utilize AI assistance to access and integrate mainframe-based data with cloud-based resources and combine that data with other information to build new applications, the companies stated.
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. Establish a common vocabulary.
We provide enterprises with one platform they can rely on to holistically address their IT needs today and in the future and augment it with an extensive portfolio of managed services – all available through a single pane of glass. These ensure that organizations match the right workloads and applications with the right cloud.
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. Lightmatters approach could flatten this architecture.
OpenTelemetry, or OTel, addresses a key pain point for network managers who must prevent network outages and maintain high levels of application performance across increasing complex and opaque multi-cloud environments. Logs are timestamps of events; analysis of logs can uncover errors or unpredictable behaviors.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterpriseapplications, AI, and enterprise architecture.
Cisco has strengthened some of its key security software packages with an eye toward better protecting distributed enterprise resources. The company also enhanced its SASE offering by expanding its SD-WAN integration options.
IBM Cloud is broadening its AI technology services with Intel Gaudi 3 AI accelerators now available to enterprise customers. With Gaudi 3 accelerators, customers can more cost-effectively test, deploy and scale enterprise AI models and applications, according to IBM, which is said to be the first cloud service provider to adopt Gaudi 3.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. Its not an application, but an application architecture or model.
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. You can’t buy hardware in anticipation of your application needs,” one CIO said.
Cisco is adding a security module to its observability platform that promises to help enterprises assess threat risks and protect cloud-based resources. FSO is designed to make intelligent use of metrics, events, logs and traces. To read this article in full, please click here
We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 CIOs should consider placing these five AI bets in 2025.
Poor resource management and optimization Excessive enterprise cloud costs are typically the result of inefficient resource management and a lack of optimization. Many enterprises also overestimate the resources required, leading to larger, more expensive instances being provisioned than necessary, causing overprovisioning.
Enterprises must focus on resource provisioning, automation, and monitoring to optimize cloud environments. This balance allows enterprises to maintain high availability and cost efficiency while scaling operations. Monitoring resources with analytics helps obtain real-time insights into the health of the applications.
Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department. We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
While the SAP S/4HANA Cloud premium plus package advertises AI innovations, they aren’t a precise match for all enterprises, much less reflective of AI needs outside of the core SAP digital backbone. You want AI to act on behalf of the enterprise, not just capabilities in a single ERP system,” Hays says.
Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, EnterpriseApplications
nGenius provides borderless observability across multiple domains, including network and data center/ cloud service edges, for application and network performance analysis and troubleshooting throughout complex hybrid, multicloud environments. Read on to meet the winners and finalists, or download the PDF edition below.
The reliability of services delivered by ISPs, cloud providers and conferencing services is critical for enterprise organizations.ThousandEyes, a Cisco company, monitors how providers are handling any performance challenges and provides Network World with a weekly roundup of events that impact service delivery. In the U.S.,
Automation technology has long been a part of ITs arsenal, as enterprises work to simplify increasingly complex networking and operational environments. Looking ahead, the more AI is added to the automation mix, the more enterprise operations teams stand to gain. Automation is needed to solve AIs complexity.
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. Application layer protocols such as SNMP, NetBIOS and PPTP are most often susceptible.
The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return on any enterprise software investment.
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. The successor to SAP ECC, S/4HANA is built on an in-memory database and is designed to enable real-time data processing and analysis for businesses. As an alternative, SAP offers theHANA Enterprise Cloud(HEC). What is S/4HANA?
Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. Keep those real-world benchmarks in mind.
Enterprises are investing a lot of money in artificial intelligence tools, services, and in-house strategies. Enterprises need to take measures to protect AI data and ensure data privacy and integrity. Start with simpler, low-intrusive applications and gradually advance to more complex and potentially intrusive uses.
Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterpriseapplications, AI is the primary contributor to tech debt. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?
New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the data center, released along with the new 5.0 support which application flows,” wrote Ben Baker, senior director, cloud and data center marketing and business analysis at Juniper, in blog post. “App/Service
This could be the year agentic AI hits the big time, with many enterprises looking to find value-added use cases. The firm says some agentic AI applications, in some industries and for some use cases, could see actual adoption into existing workflows this year.
From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?
The imperative for APMR According to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 1 (January 2024), 23% of organizations are shifting budgets toward GenAI projects, potentially overlooking the crucial role of application portfolio modernization and rationalization (APMR).
Boris Evelson, VP principal analyst at Forrester Research, said that while he was unable to comment on the Bitcoin component of the rebrand, what I can share with you is that MicroStrategy remains a key player in the enterprise business intelligence (BI) and analytics market.
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