Network World
MARCH 26, 2025
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.
Network World
MARCH 17, 2025
Many clients have reported dissatisfaction with the new licenses, according to research firm Gartner, which notes that changes have forced companies to purchase bundled VMware software they dont intend to use. Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware.
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Network World
JANUARY 16, 2025
To prepare for this convergence, enterprises should ensure that the correct policies and guardrails are in place, he says, as is the case for integration of diverse networks of any kind. However, this isnt something that enterprises can accomplish on their own, he adds. Or perhaps, the other way around.
Network World
MARCH 25, 2025
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.
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CIO Business Intelligence
OCTOBER 30, 2024
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.
CIO Business Intelligence
JANUARY 5, 2025
1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.
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Through assessments, Datadog has distilled the top five business outcomes organizations see when leveraging Datadog’s observability platform, like increased customer conversion, and what this could mean for other enterprise organizations.
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
Advertiser: Datadog
In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.
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Speech is a powerful tool for the enterprise with the ability to unlock insights and automate actions. This space is growing and almost every company is investing in some form of Automatic Speech Recognition (ASR) - but the question remains, are they using speech to its full potential? Where speech data is underutilized.
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Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. It is based on interviews with MLOps user companies and several MLOps experts. It is based on interviews with MLOps user companies and several MLOps experts.
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In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging.
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