2,118 articles · page 10 of 43
CIO, Tuesday, April 14th, 2026
AI development creates a resource paradox: It consumes immense power but offers solutions through automated hardware design and optimized infrastructure workflows.
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eWeek, Friday, April 10th, 2026
Half the AI tools out there are either paywalled or just. not that good. The good news is that in 2026, the free tier of the most advanced tools has become legitimately useful.
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CIO, Friday, April 10th, 2026
A comparative analysis of ChatGPT, Claude Cowork and GitHub Copilot.
more → The CTO Advisor, Friday, April 10th, 2026
This case study examines Decision Authority Drift, a failure mode where AI models implicitly assume control over unassigned tasks. Using the Decision Authority Placement Model (DAPM), it outlines how to re-establish governance when increased model capability creates a mismatch between system behavior and system intent.
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Open Source For U, Thursday, April 9th, 2026
Small language models are proving to be game changers in the AI world. Deploying these models early on can give organizations an edge over the competition.
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eWeek, Thursday, April 9th, 2026
Meta is officially back in the AI ring. The company just launched Muse Spark, the first major model from its new Meta Superintelligence Labs, and its first big AI release since Mark Zuckerberg reshuffled the org and brought in Alexandr Wang to help get things back on track.
more → The Hacker News, Thursday, April 9th, 2026
As AI tools become more accessible, employees are adopting them without formal approval from IT and security teams. While these tools may boost productivity, automate tasks, or fill gaps in existing workflows, they also operate outside the visibility of security teams, bypassing controls and creating new blind spots in what is known as shadow AI.
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techradar.pro, Wednesday, April 8th, 2026
Agentic AI marks a platform shift in enterprise automation
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Analytics Insight, Wednesday, April 8th, 2026
From Automated Data Checks to Enterprise Risk Management: Want to Know the Best AI Audit Tools Helping Auditors Improve Accuracy, Compliance, and Efficiency?
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Security Boulevard, Wednesday, April 8th, 2026
Most enterprises are running AI at scale before their security teams have visibility into it. Shadow AI (unsanctioned AI tools spreading department by department) is now the most common entry point for data leakage.
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FutureCIO, Wednesday, April 8th, 2026
Software maintenance is often overlooked, yet it remains the backbone of stability for enterprise systems. Software maintenance, as defined by Gartner, involves updating software, adding new functions, fixing bugs and solving problems. When deprioritised, organisations expose themselves to unnecessary risks, such as cyber threats, system outages, and costly emergency fixes.
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Real Story Group, Tuesday, April 7th, 2026
Some enterprises that Real Story Group advises are finally moving beyond the pilot stage with Agent AI. They have real setups running in production, or they're getting very close. But the main issue stalling these rollouts is almost always architectural rather than related to the underlying LLM or prompt engineering.
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Analytics Insight, Tuesday, April 7th, 2026
How CXOs Use AI to Reclaim Time, Cut Noise and Drive Faster Strategic Decisions Daily
more → Techstrong.ai, Tuesday, April 7th, 2026
When the CEO of the company leading the AI revolution says we need to prepare for disruption on a scale we have never seen before, people should pay attention.
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LevelAct, Tuesday, April 7th, 2026
AI systems in production are breaking more often than most organizations realize. What appears to be a successful deployment can quietly degrade over time, leading to inaccurate outputs, poor decisions, and hidden business risks.
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techradar.pro, Monday, April 6th, 2026
Are tech companies overlooking employee concerns about AI integration?
more → techradar.pro, Monday, April 6th, 2026
Using AI without losing control of sensitive data
more → Analytics Insight, Monday, April 6th, 2026
The Ultimate Guide to the Top Claude AI Alternatives in 2026 for Advanced Coding, Reasoning, and Large Language Model Performance
more → LevelAct, Monday, April 6th, 2026
AI security risks 2026 are rapidly becoming one of the biggest threats to modern businesses. As organizations deploy AI across cloud platforms, DevOps pipelines, and enterprise applications, attackers are exploiting weak configurations, unsecured models, and vulnerable integrations.
more → techradar.pro, Friday, April 3rd, 2026
AI agents are finally redefining productivity and operational efficiency across industries
more → RTInsights, Friday, April 3rd, 2026
Traditional cyberattacks typically involve one of two strategies: bypassing authentication or exploiting software vulnerabilities. MCP-based systems introduce a different category of risk.
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Analytics Insight, Friday, April 3rd, 2026
What Happens When AI Enters the Operating Room? This Will Surprise You!
more → Analytics Insight, Friday, April 3rd, 2026
Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, and every real-time fraud detection system lies an intricate web of data pipelines, transformation logic, and storage infrastructure.
more → The New Stack, Friday, April 3rd, 2026
Stop RAG hallucinations. Learn how hybrid search uses vector similarity and SQL to ensure retrieval accuracy in AI applications.
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Forrester, Thursday, April 2nd, 2026
Every week seems to bring another AI milestone. In 2026 alone, we've seen the rise of powerful AI agents that can write code, manage workflows, analyze documents, and increasingly act on our behalf. Adoption by consumers, business buyers, and employees continues to surge.
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Dark Reading, Thursday, April 2nd, 2026
CISOs are bullish on AI and have big plans to roll out future tools. We talk to Reddit CISO Frederick Lee and leading analyst Dave Gruber about how AI is working out in the real world, as well as its future promise.
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The Next Web, Thursday, April 2nd, 2026
A growing sense of unease is shaping how professionals engage with artificial intelligence, particularly as its capabilities expand across information creation and execution.
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Security Boulevard, Thursday, April 2nd, 2026
AI agents are no longer experimental. They're running production workloads, calling APIs, querying databases, provisioning infrastructure, and making decisions across cloud environments. Ironically these agents often end up with more access than the developers who built them. They operate with real credentials, real permissions, and real consequences when something goes wrong.
more → LeveAct, Thursday, April 2nd, 2026
For the past two years, 'prompt engineering' has been one of the most talked-about skills in AI. Entire workflows were built around crafting the perfect input-carefully structured prompts designed to extract the best possible output from large language models.
more → Security Boulevard, Wednesday, April 1st, 2026
Most teams govern AI workloads at the application layer. They configure guardrails for their Bedrock agents, scope IAM roles per workload, and build policies around approved models. That discipline matters, but it breaks down the moment a developer spins up a new account or invokes a model directly without touching the application stack.
more → CIODIVE, Tuesday, March 31st, 2026
Tech leaders will nearly double spending on the technology this year, but skills gaps and security concerns threaten ROI, according to a KPMG survey.
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siliconANGLE, Tuesday, March 31st, 2026
AI is moving from pilots to production, with enterprise AI execution increasingly shaped by integration rather than ideation.
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Cloud Native Now, Tuesday, March 31st, 2026
Testing AI agents against real cloud infrastructure is expensive, slow and often unreliable. In this interview from KubeCon Europe, Mike Vizard speaks with Waldemar Hummer, CEO of LocalStack, about how high-fidelity sandboxes are helping development teams close the gap between writing AI-driven applications and validating that they actually work as intended.
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ReadITQuik, Monday, March 30th, 2026
Artificial Intelligence inside enterprises has entered a different phase. For years, organizations focused on prediction, analytics, and conversational AI. Those investments improved insight.
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Search Enterprise AI, Friday, March 27th, 2026
Enterprise AI systems demand cloud architectures that emphasize persistent state, governance and adaptive infrastructure to ensure long-term reliability.
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techradar.pro, Friday, March 27th, 2026
Is your infrastructure stalling your AI strategy? The wave of AI tools is transforming organizations across the UK. From retail personalization to advances in medical research, AI promises innovation, new revenue streams and greater efficiency.
more → information age, Friday, March 27th, 2026
AI as a Service (AIaaS) may replace Software as a Service (SaaS) in the near future. Here's what that means for your organisation
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CXDIVE, Friday, March 27th, 2026
Nearly two-thirds of service leaders reported higher agent productivity, with 39% reporting lower cost per contact, according to Deloitte Digital.
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Analytics Insight, Friday, March 27th, 2026
The Best 10 AI Tools That Work Fully Offline Without Any Internet in 2026
more → Analytics Insight, Friday, March 27th, 2026
Top 10 AI Testing Companies Powering Smarter, Faster, and Scalable Software Quality Assurance
more → techradar.pro, Thursday, March 26th, 2026
Most organizations are quietly ignoring the importance of AI literacy
more → techradar.pro, Thursday, March 26th, 2026
For years, improving how organizations operate has largely been something done to employees rather than with them. Change was designed by specialists, approved in committees, and delivered through transformation programs that felt distant from day-to-day work.
more → ITPro, Thursday, March 26th, 2026
The appetite for AI is there, but a range of issues are hampering adoption
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DataCenter Knowledge, Thursday, March 26th, 2026
AI inference is rapidly becoming the dominant driver of network demand, requiring scalable optical connectivity to support its explosive growth and multimodal complexity.
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Solautions Review, Thursday, March 26th, 2026
Executive Editor Tim King discusses AI ROI and how enterprises should benchmark for success. This look at benchmarking is brought to you by Denodo, a leader in data management solutions that bridge the gap between raw data and AI-ready insights.
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siliconANGLE, Thursday, March 26th, 2026
Cloud-native AI infrastructure is gaining ground fast in the enterprise - but what separates deployment at scale from stalled ambition?
more → LevelAct, Thursday, March 26th, 2026
Most organizations preparing for AI-driven threats are looking in the wrong direction. They're investing in advanced detection systems, anomaly tracking, and complex threat modeling-assuming the biggest risks will come from sophisticated adversaries exploiting AI itself.
more → sonatype, Wednesday, March 25th, 2026
One experience has become nearly universal as AI systems move deeper into software development, their confidence when they're wrong.
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CIODIVE, Wednesday, March 25th, 2026
But CIOs likely won't see any savings as model sizes go up and functionality becomes more advanced, the analyst firm said.
more → siliconANGLE, Wednesday, March 25th, 2026
Cyber resilience is taking on new urgency as the threat landscape undergoes its most dramatic transformation in a generation, with AI turbocharging both the scale and speed of attacks while rewriting the rules of defense.
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