Analytics Insight, Wednesday, October 1st, 2025
How AI Is Transforming Hiring? 6 Tips For Professionals To Stay Ahead
How Artificial Intelligence is Shaping Recruitment and Hiring Practices
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1,891 articles · page 11 of 38
Security Boulevard, Wednesday, October 1st, 2025
Shadow AI Is The New Shadow It: Why A SaaS-First Approach Wins
Every wave of workplace technology creates new risks-and new buzzwords. Today, 'shadow AI' is the term on everyone's lips. Security leaders are rightly concerned about employees experimenting with unvetted AI tools, from generative AI chatbots to Chrome extensions and AI-powered SaaS add-ons.
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CIO, Tuesday, September 30th, 2025
What World-Class IT Looks Like In The Gen AI Era
From developing meaningful business relationships to establishing cultures of continuous learning, CIOs must recast IT's missions and objectives to help fuel transformational AI success.
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Techstrong.ai, Tuesday, September 30th, 2025
Real-Time Data Strategies For Enterprise AI Applications
Purnima Padmanabhan, general manager of Broadcom's Tanzu Division, highlights a fundamental truth of enterprise AI: the biggest challenge isn't always the models, it's the data.
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Search Enterprise AI, Friday, September 26th, 2025
11 Real-World Agentic AI Examples And Use Cases
AI that doesn't just follow instructions but figures out how to get things done -- that's the promise of agentic AI, an emerging approach that's already changing some sectors.
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RTInsights, Friday, September 26th, 2025
Why Dataops Is Critical To Successfully Scaling AI
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time capabilities needed to deliver reliable AI at enterprise scale.
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Help Net Security, Thursday, September 25th, 2025
AI Is Rewriting The Rules Of Cyber Defense
Enterprise security teams are underprepared to detect new, adaptive AI-powered threats. The study, published by Lenovo, surveyed 600 IT leaders across major markets and shows widespread concern about external and internal risks, along with low confidence in current defenses.
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Analytics Insight, Wednesday, September 24th, 2025
LLMs vs SLMs: What's the Difference Between Language Models?
Understanding LLMs and SLMs: Key Differences and Features Explained in 2025
more → Help Net Security, Monday, September 22nd, 2025
Cybersecurity AI (CAI): Open-Source Framework For AI Security
Cybersecurity AI (CAI) is an open-source framework that helps security teams build and run AI-driven tools for offensive and defensive tasks.
more → DataCenter Knowledge, Monday, September 22nd, 2025
How AI Distillation Rewrites Data Center Economics
AI distillation is the lifeline data centers need as generative AI threatens to consume every watt, rack, and dollar in your infrastructure budget.
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Professional Security, Monday, September 22nd, 2025
Employee Trust Is Key To AI Adoption
The adoption of AI in enterprises is accelerating steeply, and it's hitting a critical inflection point, says Sunil Agrawal, Chief Information Security Officer at the platform Glean.
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MIT News, September 19,2025
What Does The Future Hold For Generative AI?
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
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siliconANGLE, September 19,2025
AI Networking Demands A New Playbook For It Leaders
AI networking is upending how enterprises design digital infrastructure. As artificial intelligence-driven tools spread across the industry, enterprises are reengineering data centers and distributed networks to ensure lasting performance.
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Techstrong.ai, September 19,2025
Do We Have An AI Gap?
When I read the recent Politico piece quoting Senator Dave McCormick's concerns about China's AI dominance, I had deja vu. Not because I've been following China's AI research papers (though I have), but because the rhetoric sounded eerily familiar. It reminded me of the Cold War and the infamous 'missile gap.'
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Security Boulevard, September 18,2025
What Makes An AI Governance Framework Effective?
Artificial intelligence is being adopted at a remarkable pace. Enterprises now use AI in customer service, fraud detection, logistics, healthcare diagnostics, and dozens of other areas. With this adoption comes a new category of risk.
more → Help Net Security, September 18,2025
Shadow AI Is Breaking Corporate Security From Within
Cybersecurity leaders know the attack surface has been growing for years, but the latest State of Information Security Report 2025 from IO shows how fast new risks are converging.
more → Techstrong.ai, September 17,2025
The Three Pillars Of AI Readiness
Fletcher Keister, Chief Product and Technology Officer at GTT, lays out what he calls the three pillars of AI readiness: infrastructure, data, and skills. Without these, he argues, organizations risk repeating the same mistakes seen in earlier technology waves.
more → Techstrong.ai, September 17,2025
Where Robotics, AI And Blockchain Converge
Bayley Wang, CEO of PrismaX, explores the convergence of three transformative technologies: robotics, artificial intelligence and blockchain. While AI and robotics are often discussed together, Wang makes the case for why blockchain deserves a seat at the table - particularly as these systems evolve into global, interconnected marketplaces.
more → HPC Wire, September 17,2025
Gartner Says Worldwide AI Spending Will Total $1.5T In 2025
Worldwide spending on AI is forecast to total nearly $1.5 trillion in 2025 according to Gartner, Inc., a business and technology insights company.
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Techiexpert, September 17,2025
AI Agents Need Identity Resolution - Here's How To Build It
AI agents are basically defined as autonomous or semi-autonomous systems that act on behalf of users. Today, AI agents are moving from lab demos to real business workflows.
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Search Enterprise AI, September 17,2025
What Is Edge AI?
Edge artificial intelligence (edge AI) is a paradigm for crafting AI workflows. It's part of centralized cloud data centers and edge devices outside the cloud that are closer to humans and physical things.
more → Techstrong.ai, September 15,2025
How Model Context Protocol (MCP) is Spurring AI Development
AI models operate in a vacuum, often disconnected from the real-time data, private codebases, and specialized tools that run modern businesses. And this can become the last-mile problem for AI, acting as the primary barrier to unlocking its true enterprise value.
more → CIO, Friday, September 12th, 2025
From Pilot To Profitability: How To Approach Enterprise AI Adoption
Stuck in AI pilot purgatory? The real win is focusing on business problems, not hype, and scaling smartly with the right mix of tools.
more → Techstrong.IT, Friday, September 12th, 2025
Superintelligence: Why The AI Race Is Fueling A New Generation Of Gigawatt-Scale Infrastructure
The race to Superintelligence is officially underway. Large language models (LLMs) and multimodal AI tools have already transformed how we work, interact and build.
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Security Boulevard, Friday, September 12th, 2025
Fridges, AI, And The Hidden Cost Of Convenience
There's an old story about a village that finally got electricity. Everyone bought fridges. A few months later, the elders gathered and suggested the unthinkable. 'get rid of them!'
more → ZDNet, Wednesday, September 10th, 2025
AI's Free Web Scraping Days May Be Over, Thanks To This New Licensing Protocol
The internet's new standard, RSL, is a clever fix for a complex problem, and it just might give human creators a fighting chance in the AI economy.
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RTInsights, Wednesday, September 10th, 2025
Why Data Quality Is The Cornerstone Of AI Success
In today's AI-driven business environment, data quality is essential to ensure smarter decision-making, lower risk, and more agile responses across the enterprise.
more → CIO, Wednesday, September 10th, 2025
How Enterprises Can Harness AI Responsibly
AI is changing everything - work, learning, security. The key for enterprises? For one CTO, it's been to use it smartly, openly and responsibly.
more → Techstrong.ai, Wednesday, September 10th, 2025
Model Context Protocol Explained: The New Backbone Of Composable AI
While generative AI has transformed what's possible in software development, integration remains one of its biggest unsolved problems.
more → Search Enterprise AI, Tuesday, September 9th, 2025
AI Agent Vs. Chatbot: Breaking Down The Differences
Despite using similar AI technologies, AI agents automate tasks while chatbots converse with users. Understanding their differences is key to using the right AI for business needs.
more → InfoWorld, Tuesday, September 9th, 2025
How To Evaluate AI Agent Development Tools And Platforms
More companies are moving to integrate custom AI agents into business operations. Here are eight essential capabilities to look for when evaluating AI agent development tools and platforms.
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ComputerWorld, Tuesday, September 9th, 2025
Why AI Is Entering Physical Security And Threat Protection Spaces (34 Mins)
From spotting weapons and detecting smoke to predicting where incidents are most likely to occur, artificial intelligence is reshaping the future of physical security.
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Computerworld, Monday, September 8th, 2025
Why Generative AI Projects Fail
Your weekly round-up of the questions asked by readers of CIO, Computerworld, CSO, InfoWorld, and Network World offers details about why generative AI projects fail and why AI coding tools may be a poor investment. But don't worry: AI is going to transform your business.
more → siliconANGLE, Monday, September 8th, 2025
28 Ways Enterprise AI And Cloud Strategies Are Colliding: theCUBE + NYSE Wired: Mixture Of Experts Interview Series Insights
The Mixture of Experts interview series from theCUBE and NYSE Wired dives into the shifting landscape of enterprise technology. Each conversation examines the disruptive forces transforming infrastructure, cloud strategies, artificial intelligence adoption and the economics driving industry change. It's a forum for big ideas, hard problems and candid analysis.
more → Architecture and Governance, Friday, September 5th, 2025
AI Adoption Is Like Handling Fire
The first is the FOMO tribe those driven by the fear of missing out. They rush into the AI race without truly understanding it beyond a handful of GPT prompts. You'll find them attending every AI conference, spending heavily, and often relying on 'YouTube and WhatsApp scholars' as decision-makers.
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Techiexpert, Friday, September 5th, 2025
Synthetic Data + AutoML For Data Scarce Environments
Are you building a machine learning model? If yes, and barely have any data to start with? It could be simply understood that you are a health-tech startup and working on a rare disease.
more → SC Media, Thursday, September 4th, 2025
Why Model Context Protocols Are The Next AI Security Blind Spot
AI agents are moving from novelty to infrastructure at record speed. In the race to make them more capable, developers are bolting on Model Context Protocols (MCPs) - plugins that act as connectors between agents and the APIs, tools, or execution environments they control.
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techradar.pro, Tuesday, September 2nd, 2025
AI Is Taking Over Cybersecurity - But Businesses Still Know The Risks
99% agree AI will influence their cybersec purchases or renewals
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techradar.pro, Tuesday, September 2nd, 2025
Why Enterprise AI's Next Breakthrough Lies In Spatial Intelligence
Spatial intelligence represents a critical evolution in AI
more → BigDataWire, Friday, August 29th, 2025
AI Hype Cycle: Gartner Charts the Rise of Agents, ModelOps, Synthetic Data, and AI Engineering
Gartner says the average company spent around $1.9 million on GenAI last year, yet fewer than 30% of AI leaders think their CEOs are satisfied with the results. That gap between spending and satisfaction is concerning.
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Techstrong.ai, Friday, August 29th, 2025
The AI Infrastructure Inflection Point: From Experimentation to Production
Artificial intelligence represents one of the most transformative innovations since the internet itself. AI is reshaping how we work across every role, from executives and sales teams to marketing, product, and engineering. Beyond becoming part of our digital infrastructure, AI is changing how professionals approach their daily work.
more → Techstrong.ai, Friday, August 29th, 2025
Shadow AI: Resistance is Futile
A couple of days ago, I was scrolling through my LinkedIn feed and a post by my friend and fellow tech-watcher Dion Hinchcliffe caught my eye.
more → Analytics Insight, Thursday, August 28th, 2025
What is the Difference Between Agentic and Non-Agentic AI Chatbots?
Agentic vs. Non-Agentic Chatbots: Key Differences, Examples, and Future of AI
more → The Hacker News, Wednesday, August 27th, 2025
The 5 Golden Rules of Safe AI Adoption
Employees are experimenting with AI at record speed. They are drafting emails, analyzing data, and transforming the workplace. The problem is not the pace of AI adoption, but the lack of control and safeguards in place.
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Techstrong.ai, Wednesday, August 27th, 2025
Is AI Getting a Bad Rap Or Has It Hit the Wall?
As was perhaps inevitable, AI seems to be losing some of its luster. In last week's Shimmy Says, I asked the question of whether we're living in an AI bubble. That doesn't mean AI is a failure, or that it won't scale some of the great heights its champions project for it.
more → Search Enterprise IT, Tuesday, August 26th, 2025
Agentic AI Compliance And Regulation: What To Know
Agentic AI's autonomous nature and its ability to access multiple data layers bring heightened risk. Learn how to ensure its deployment meets compliance standards.
more → CIO, Tuesday, August 26th, 2025
Predictive vs. Generative AI: Which One Is Right For Your Business?
Generative AI may dazzle, but predictive AI is the real game-changer for hiring, promotions and workforce planning.
more → AI News, Tuesday, August 26th, 2025
Podcast: The Annual Stanford AI Index Reveals a Fast-Changing Industry with Enormous Business and Social Impact (45:07)
We're delighted to again welcome Nestor Maslej of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) at Stanford University to discuss the latest edition of the annual Stanford AI Index and Stanford Global AI Vibrancy Tool.
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InfoWorld, Monday, August 25th, 2025
Enterprise Essentials For Generative AI
Having a 'vision' is not enough. Enterprises need clear objectives, solid data, and a design plan with built-in evaluations and humans in the loop.
more → eWEEK, Monday, August 25th, 2025
Data Velocity: The Key To Turning AI Hype Into Enterprise Advantage
The outlook for digital transformation appears bleak, and there's no indication it's improving. While 90% of C-level leaders surveyed by McKinsey say their companies have undergone a digital transformation in the last two years, the risk of failure falls as high as 95%, according to Bain & Company. For most organizations, becoming truly data-driven remains an aspiration rather than a reality.
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