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.

Enterprise 312

Enterprise Enterprise Linux Training 312

Network World

NOVEMBER 5, 2024

VMware by Broadcom has unveiled a new networking architecture that it says will improve the performance and security of distributed artificial intelligence (AI) — using AI and machine learning (ML) to do so. That’s where VeloRAIN will come in.

Vmware 368

Vmware Network Applications Survey 368

Network World

OCTOBER 17, 2024

AIOps certifications to elevate your IT career : Cisco, IBM, Microsoft, AWS, and others are offering training and certifications that can help IT pros demonstrate expertise in using artificial intelligence for IT operations, or AIOps. Can NaaS mitigate network skills gaps?

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Artificial Intelligence Analysis Research Security 419

Information Week

JANUARY 23, 2024

Joining the expanding fray of generative artificial intelligence applications specifically tailored to businesses, Oracle launches new AI tools.

Oracle 535

Oracle Artificial Intelligence Enterprise Enterprise 535

CIO Business Intelligence

JANUARY 29, 2025

But a lot of the proprietary value that enterprises hold is locked up inside relational databases, spreadsheets, and other structured file types. In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications.

Enterprise 336

Enterprise Enterprise Infosys Data 336

CIO Business Intelligence

FEBRUARY 17, 2025

This is good news and will drive innovation, particularly for enterprise software developers. The proliferation of open-source AI models more than 1 million are currently listed on the Hugging Face portal is driving innovation particularly at the application end. DeepSeek has simply ratcheted up this trend an order of magnitude.

Enterprise 314

Enterprise Enterprise Software Development Development 314

CIO Business Intelligence

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K. Nutanix commissioned U.K.

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Data Artificial Intelligence Enterprise Enterprise 321

CIO Business Intelligence

JANUARY 16, 2025

As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.

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Enterprise Enterprise Architecture SAP 264

Network World

FEBRUARY 28, 2025

To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).

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Artificial Intelligence System Hardware Applications 199

Network World

DECEMBER 11, 2024

As years passed new technologies like secure access service edge (SASE) and generative artificial intelligence (genAI) burst onto the scene, and SD-WAN has fallen out of the industry limelight. Why SD-WAN is still critical to the enterprise SD-WAN connects users, applications, and data across locations within a hybrid environment.

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WAN Artificial Intelligence Network Architecture 336

CIO Business Intelligence

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. In a relative sense Different domains and applications require different levels of data cleaning. So, before embarking on major data cleaning for enterprise AI, consider the downsides of making your data too clean.

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Data Enterprise Enterprise Training 352

CIO Business Intelligence

DECEMBER 9, 2024

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.

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Enterprise Enterprise Knowledge Base Data 290

Network World

JANUARY 14, 2025

Hewlett Packard Enterprise (HPE) has signed a contract exceeding $1 billion to provide AI servers for X, the platform formerly known as Twitter, according to Bloomberg. Strategic implications for enterprises HPEs win is significant for enterprise AI customers looking to build or scale robust AI infrastructures.

Dell 414

Dell Enterprise Enterprise Report 414

CIO Business Intelligence

SEPTEMBER 11, 2024

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5

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Artificial Intelligence Social SAP Tourism 330

CIO Business Intelligence

JANUARY 29, 2025

A key component of the strategy is the unified digital enterprise resource planning (ERP) platform, which will integrate various government functions into a single digital framework, improving productivity and simplifying management processes.

Government 341

Government Artificial Intelligence Strategy Cloud 341

CIO Business Intelligence

OCTOBER 25, 2024

While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes. How do you make the right choice for whatever application that you have?”

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Survey Artificial Intelligence Data Hardware 334

CIO Business Intelligence

FEBRUARY 3, 2025

As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. As AI becomes a natural extension of our lives, those who embrace it with purpose will thrive.

Enterprise 278

Enterprise Enterprise Cloud Programming 278

CIO Business Intelligence

NOVEMBER 19, 2024

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.

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Strategy SAP Artificial Intelligence Enterprise 264

Network World

FEBRUARY 13, 2025

I would say what were seeing on the enterprise side relative to AI is, its still in the very early days, and they all realize they need to figure out exactly what their use cases are, [but] were starting to see some spending though on specific AI-driven infrastructure. Second, AI inference and enterprise clouds.

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Financial Network Enterprise Enterprise 203

Network World

NOVEMBER 12, 2024

We have gone from choosing an operating system to being able to run any application anywhere and on any cloud by virtualizing storage.” We have reached a level of technological maturity where people try to place the right application in the right location, and that place is the private cloud.”

CTO 369

CTO Vmware Cloud Storage 369

Network World

DECEMBER 16, 2024

And some large, cutting-edge enterprises are already beginning to spend money on quantum technology. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale. billion so far in 2024.

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IBM Microsoft Research System 397

Tech Republic Security

JULY 24, 2024

The hybrid multicloud strategies that many Australian enterprises have adopted over the last decade could be made more complex by new AI applications. The only solutions could be rationalisation or an abstraction layer.

Applications 415

Applications Strategy Enterprise Enterprise 415

CIO Business Intelligence

NOVEMBER 11, 2024

Global professional services firm Marsh McLennan has roughly 40 gen AI applications in production , and CIO Paul Beswick expects the number to soar as demonstrated efficiencies and profit-making innovations sell the C-suite. Enterprises are also choosing cloud for AI to leverage the ecosystem of partnerships,” McCarthy notes.

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Cloud Enterprise Enterprise Government 344

Information Week

APRIL 3, 2023

Observers say CIOs should keep a close watch on regulatory trends as artificial intelligence applications multiply in enterprise use. Data protection authorities take swift action following data breach at OpenAI.

Artificial Intelligence 450

Artificial Intelligence Trends Applications Enterprise 450

Network World

MARCH 27, 2025

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.

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Google Cloud Applications Devops 393

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. This is where Operational AI comes into play.

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Architecture Data Enterprise Enterprise 321

CIO Business Intelligence

DECEMBER 19, 2024

Back in 2023, at the CIO 100 awards ceremony, we were about nine months into exploring generative artificial intelligence (genAI). The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team.

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Research Artificial Intelligence Enterprise Enterprise 244

CIO Business Intelligence

MARCH 17, 2025

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.

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Strategy Government Training Data 323

CIO Business Intelligence

NOVEMBER 21, 2024

To ensure every IT initiative directly contributes to measurable business outcomes, CIOs must move from operational managers to strategic partners, collaborating with business leaders to align IT decisions with enterprise goals. Now, he focuses on strategic business technology strategy through architectural excellence.

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Strategy Agile Financial Artificial Intelligence 305

CIO Business Intelligence

JANUARY 23, 2025

Generative and agentic artificial intelligence (AI) have captured the imagination of IT leaders, but there is a significant gap between enthusiasm and implementation maturity for IT operations and service management, according to a new survey from BMC Software and Dimensional Research.

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Survey Software Software Artificial Intelligence 286

CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use.

Enterprise 354

Enterprise Enterprise System Data 354

CIO Business Intelligence

MARCH 25, 2025

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 enterprise applications, AI, and enterprise architecture.

Architecture 307

Architecture Devops Open Source Database Administration 307

Network World

APRIL 1, 2025

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.

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Data Center Data Energy Resources 268

CIO Business Intelligence

MARCH 5, 2025

The biggest challenge enterprises face when it comes to implementing AI is seamlessly integrating it across workflows. While its potential is broad, that makes it difficult to pinpoint its practical applications in specific industries. But AI itself presents a solution in the form of an orchestration layer embedded with AI agents.

Artificial Intelligence 214

Artificial Intelligence Insurance Enterprise Enterprise 214

CIO Business Intelligence

MARCH 28, 2025

They also ensure that enterprises have a foundation from which to implement crucial AI-driven improvements that can boost productivity and growth. A new era of security and manageability As enterprises upgrade to AI PCs, endpoint security will remain a priority.

Enterprise 165

Enterprise Enterprise Microsoft Security 165

CIO Business Intelligence

DECEMBER 20, 2024

While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So

Data 264

Data Artificial Intelligence Policies Security 264

Network World

DECEMBER 10, 2024

Then theres the impact of artificial intelligence (AI)AI and generative AI have created exponentially greater demands on networks to move large data sets. On the flip side, networking vendors are incorporating AI and machine learning into their toolsets to analyze vast amounts of telemetry data and provide actionable intelligence.

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Network Enterprise Enterprise WAN 390