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LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.
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Enterprises are rapidly deploying AI agents, but fragmented data, legacy systems and immature access controls are limiting their ability to put those agents to work, says report sponsored by Box.
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At TechMentor & CyberSecurity Live! @ Microsoft HQ, Michael Niehaus will explain what today's local AI silicon can do, which Windows 11 features use it, and how developers and IT pros should think about on-device AI capabilities.
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Gartner's 2026 Backup and Data Protection Platforms report highlights GenAI, agentic AI, identity recovery and cyber resilience as changing forces in the market.
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Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
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At TechMentor & CyberSecurity Live! @ Microsoft HQ, 21-time Microsoft MVP Derek Melber will help newer Active Directory administrators move beyond surface-level basics into the PowerShell, Group Policy, replication and troubleshooting knowledge needed to run AD with confidence.
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While Anthropic is dealing with a government-ordered suspension of its newest Fable and Mythos models, Microsoft is emphasizing a more enterprise-ready Claude path through Microsoft Foundry.
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By Tom Fenton
Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
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By Tom Fenton
Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on individual machines or virtual machines. The main takeaway is that running AI locally can give organizations more control over data, cost, privacy and compliance, but VMware shops need to understand the hardware, virtualization and resource requirements before treating local or private AI as a practical deployment option.
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CSA's AICM v1.1 expands the AI security framework into a bundled control, assessment, audit and standards-mapping package.
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Forrester's 2026 XDR Wave puts Microsoft and CrowdStrike among the Leaders, but the broader story is a changing XDR market built around cloud, identity, AI agents, threat intelligence and SIEM replacement.
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OpenAI research on Codex usage finds that agentic AI adoption is growing quickly but unevenly, with the sharpest shift showing up inside OpenAI and broader growth among non-developer users.
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Broadcom's 2026 private cloud report says enterprise AI is moving from experimentation into production, with private cloud emerging as the preferred deployment environment for AI inference among surveyed organizations.
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HPE announced new GreenLake, Morpheus, networking and NVIDIA AI Factory updates at HPE Discover Las Vegas 2026.
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Cybersecurity consultant Sergey Chubarov used a session on defending against intelligent threats to outline how AI is changing attack speed, scale and believability, with the most actionable guidance focused on deepfakes, prompt injection, AI-agent risk, identity controls and AI-assisted security operations.
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TDWI's 2026 Blueprint report says high-impact AI organizations are more likely to treat data architecture, governance and operationalization as strategic requirements.
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By Tom Fenton
Tom Fenton benchmarks the Lenovo ThinkPad T1g Gen 8 across SPECworkstation 4, Geekbench AI and Ollama tests to assess its performance for office workloads, local AI and large language models.
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Rubrik used its Forward 2026 event to introduce Rubrik AI, positioning the company's cyber resilience platform around agentic operations across data, identity and AI infrastructure.
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By Tom Fenton
Lenovo's ThinkPad T1g Gen 8 brings workstation-style graphics, AI acceleration and classic ThinkPad durability to a business laptop built for demanding mobile professionals.
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Gartner changed the name and focus of its AI coding Magic Quadrant reports, and the new version sees agentic AI specialists subsuming cloud giants as leaders in the field.
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On the same day it published a Data & AI Trust Gap report, Veeam announced new agentic AI capabilities for its DataAI Command Platform, adding agents designed to automate consent compliance, data subject request forms and governance assessments.
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Veeam's new Data & AI Trust Gap report says AI agents are already in use or pilot at most organizations, but data visibility, governance and precision recovery capabilities have not kept pace.
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Effective AI results will increasingly depend less on crafting ever-more-detailed prompts and more on giving systems the relevant, current, and well-structured context they need to understand intent.
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At TechMentor & CyberSecurity Live! @ Microsoft HQ, Microsoft's Jason Helmick and Sean Wheeler will show IT pros what's new in PowerShell 7.6, how the platform continues to evolve beyond Windows PowerShell 5.1, and how administrators can start using the latest improvements in real-world automation workflows.
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Cloud providers are investing heavily in AI infrastructure while adding tools such as prompt caching, model routing, provisioned capacity and service tiers to help enterprise customers control AI costs.