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
Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The ALE Private 5G service includes technology from across ALEs platforms, including ruggedized OmniSwitch hardware, OmniSwitch LAN, and OmniAccess Stellar WLAN software for local and wide area connectivity.
Causal, predictive, and generative artificial intelligence (AI) have become commonplace in enterprise IT, as the hype around what AI solutions can deliver is turning into reality and practical use cases. The Google collaboration Google and BMC began a partnership based on the shared vision of transforming enterprise IT with the power of AI.
AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. To learn more about how enterprises can prepare their environments for AI , click here.
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.
Speaker: Scott Stephenson, Co-Founder, CEO Deepgram
Real-time speech transcription, analysis, and enablement are now a reality. Post-call analysis and selective call auditing has brought you more information and insights on your customers, but what can you do with real-time transcriptions for all your calls?
Gen AI has entered the enterprise in a big way since OpenAI first launched ChatGPT in 2022. So given the current climate of access and adoption, here are the 10 most-used gen AI tools in the enterprise right now. Among other things, enterprises can use the tool to animate static assets, visual effects, and storyboard.
In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Now, EDPs are transforming into what can be termed as modern data distilleries.
Kyndryl has taken the wraps off a suite of private cloud services designed for enterprise customers that want to rapidly deploy AI applications in production environments. Kyndryls AI Private Cloud service taps the vendors relationships with Nvidia and Dell to help enterprises plan, design and develop fully managed, operational AI systems.
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.
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.
Intelligent data and content analysis Sentiment analysis Lets look at a practical example: an internal system allows employees to post short status messages about their work. In the past, implementing sentiment analysis of these posts with a customized ML model would have been challenging.
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.
Enterprises can appease these concerns by working closely with a trusted partner throughout the modernization journey. Enterprises can overcome these challenges by investing in strong partnerships that incorporate skills, solutions, and processes to get the job done correctly while mitigating any risks.
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. Enterprises blocked a large proportion of AI transactions: 59.9%
Fortinet has expanded support for AI across its core cybersecurity platform to protect enterprise customers from evolving threats and simplify network and security operations. And with this announcement, the company has embedded it deeply into the Security Fabric to expand AI-driven threat detection and analysis, the company stated.
Like enterprises writ large, data centers face major challenges in getting the right people with the right skills into the right roles,” Gina Smith, research director of IT skills for digital business at IDC, told Network World. For instance, according to Forrester, app development is on the decline (after hitting its peak in 2021).
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.
The blueprints were announced at both Consumer Electronics Show, where CEO Jensen Huang delivered a keynote and discussed blueprints among many other announcements, and in a blog post by Justin Boitano, vice president for Enterprise AI. These blueprints come packaged as launchables, meaning they can be deployed instantly and out-of-the-box.
The idea is to use AI’s information gathering and sorting capabilities to help customers do more effective searching and analysis of threats, the vendor stated. The vendor also added FortiAI to its Lacework FortiCNAPP package.
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. Most enterprises have built tech estates on hybrid cloud architecture, the researchers stated. “In In fact, 91% of IT executives agree that their organization promotes hybrid architectures.
Almost every enterprise integrates some form of AI/ML capabilities within their operations or tapping into the Internet of Things (IoT) to keep operations at the edge. The reality is that enterprises not only need to keep pace with new requirements in network and security but also support their modern workloads.
And if we find out that it does work after a lot of hard work, a lot of analysis, and a lot of independent testing, then were going to tell the other agencies of the government who care about if quantum computers work or not. Lemyre predicts that useful quantum computers will be available for enterprises before the end of the decade.
AI is clearly making its way across the enterprise, with 49% of respondents expecting that the use of AI will be pervasive across all sectors and business functions. Despite concerns around regulation, AI is significantly impacting the key skill sets of the future enterprise.
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. Curate the data. DAMA-DMBOK 2.
For day 2, AI can be used to allocate resources, identify and quickly address (and predict) problems in the network, centralize problem identification, automate recommendation and response, resolve lower-level support issues and reduce trouble ticket false positives through confirm-reject analysis, among other capabilities.
The new service, FortiAppSec Cloud, brings web and API security, server load balancing, and threat analytics under a single console that enterprise customers can use to more efficiently manage their distributed application environments, according to Vincent Hwang, vice president of cloud security at Fortinet.
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. It’s another way that Orsini believes a VMware-based infrastructure supports success in the cloud.
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. Our analysis found that OT-driven projects had a few unique issues.
It’s a service that delivers LAN equipment to enterprises and excludes the WAN and any cloud/storage services, Siân Morgan, research director at Dell’Oro Group, told Network World. Enabler CNaaS is a service designed by a vendor to support MSPs that want to deliver CNaaS to enterprises. Meter is also growing rapidly.
The AI Renewals Agent gathers data from more than 50 different sources of structured and unstructured data and then offers real-time sentiment analysis, intelligent automation, and personalized recommendations tied to customer outcomes and key performance indicators (KPIs).
Justice Department today sued to block the $14 billion sale of Juniper Networks to Hewlett Packard Enterprise. In its statement, DOJ noted that HPE and Juniper are the second- and third- largest providers, respectively, of enterprise-grade WLAN solutions in the United States. The buy is primarily about AI technology for HPE.
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.
However, deeper analysis using FARM (Field-Accessible Reliability Metrics) values exposed the true operational history of these drives. System integrators who resell HDDs may not always provide adequate warranties, leaving enterprise customers at risk. SMART parameters, which track drive usage, had been reset to mask wear.
NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. If you are not experimenting with and investing in figuring out how this is going to impact your enterprise network operations right now, youre going to be behind in a year, Beevers warned. NS1 was subsequently acquired by IBM.
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.
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.
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. Comparative analysis of Azure management platforms Azure is one of the most widely adopted cloud platforms.
MITRE released its latest Enterprise MITRE ATT&CK Evaluations in December of 2024. Today, were excited to announce that we have released three new pieces of research about this round of evaluations: Analysis Of The 2024 MITRE Engenuity ATT&CK Evaluation an […]
By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI AI has the capability to perform sentiment analysis on workplace interactions and communications.
Riverbed IQ Assist, for instance, uses generative AI to perform root-cause analysis and suggest remediations with context-driven insights. This is just another AI solutionits a fundamental rethinking of how enterprises can manage their increasingly complex infrastructure.
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
High-Performance Computing (HPC): GPUs enable scientists and researchers to tackle complex simulations and data analysis at unprecedented speeds. Real-time Data Processing: GPUs are increasingly important in applications requiring immediate data analysis, such as edge computing, autonomous vehicles, and financial modeling.
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.
Our rollout of ChatGPT Enterprise to 250 business leaders has unlocked new ways to enhance productivity, from customer sentiment analysis and HR policy recommendations, to ad proofing and inventory shrink analysis. In IT, were no longer ticket-takers; were momentum creators.
We organize all of the trending information in your field so you don't have to. Join 83,000+ 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