AI Technologies & Platforms


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    Welcome to TechTarget AI

    New look, same trusted voice. At TechTarget AI, we focus on real-world AI implementation, prioritizing the considerations and developments that truly matter for enterprises.

    By , • Oct. 27, 2026
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    Anthropic rolls out Claude Duet, but enterprises aren’t ready

    The generative AI vendor released the app with stringent security guardrails for using it in professional and small business settings.

    By • Oct. 22, 2026
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    Expert Advice

    Agents on the desktop: Claude Cowork and its equivalents

    Desktop agents offer possibilities to improve almost every business, but users must understand the benefits and drawbacks of these tools to select the right one.

    By • Oct. 22, 2026
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    Podcast

    Smartsheet takes a people approach with AI adoption

    Inside the workplace collaboration and project management platform vendor’s AI strategy.

    By , • Oct. 20, 2026
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    Microsoft could hold an advantage with Copilot for Legal

    While the vendor is not the first in the AI for legal market, the Microsoft environment is entrenched in many law firms.

    By • Oct. 19, 2026
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    Open source and on device: the strategy behind Nvidia’s new AI models

    The latest Nemotron 3.5 models show how the AI giant is focusing on reinforcing its own GPU infrastructure while supporting the open source community.

    By • Oct. 16, 2026
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    Robots can’t talk to each other yet -- that’s a big AI bottleneck

    Coordinating robots and autonomous systems will be critical to unlocking physical AI, but it’s still unclear whether interoperability is an immediate barrier to adoption.

    By Scarlett Evans • Oct. 15, 2026
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    Meta joins enterprise agent race with Muse Wonder, facing a trust gap

    The company’s new releases point to an AI market that is becoming more personal, with agents and models completing tasks, but enterprises still aren’t ready for this new phase of AI.

    By • Oct. 13, 2026
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    Prompt: AI agents are running into the limits of access

    As agents take on more work for users, companies are deciding whether to let outside AI systems act on their platforms.

    By • Oct. 9, 2026
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    Google’s workplace agent is out, but questions abound

    The agent can use enterprise business context for knowledge work. However, challenges about cost and integration with other tools could be difficult for enterprises.

    By • Oct. 8, 2026
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    Anthropic opens cyber program applications, releases cheaper Haiku

    Under the program, the vendor provides enterprises with models that can defend against bad actors.

    By • Oct. 7, 2026
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    Podcast

    Reflection Beam aims U.S. open-weight AI model at Chinese rivals

    Nvidia-backed open source startup makes splashy entrance. AI hits U.S. K-8 education.

    By , , • Oct. 7, 2026
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    AI teaching systems raise new questions for school districts

    As AI moves into K-8 instruction, district technology leaders must weigh external evidence, data protection and results-based contracts before scaling these systems.

    By • Oct. 7, 2026
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    Governments prepare for the next wave of AI

    AI adoption in the public sector is on the rise, but data, legacy systems and governance remain barriers to effectively scaling the tech.

    By Scarlett Evans • Oct. 7, 2026
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    Reflection’s Beam model signals deepening split in global AI market

    The U.S. startup holds an advantage in the open-weight market due to its funding and technology relationship with Nvidia.

    By • Oct. 6, 2026
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    Physical AI moves beyond traditional robotics

    Physical AI is moving beyond traditional robotics into real enterprise tasks, but enterprises still face big challenges integrating and scaling robotic systems.

    By • Oct. 5, 2026
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    Gemini 4 Argon is late, but Google’s expertise may be an advantage

    As a top cloud provider, Google has deep experience integrating its infrastructure with the other Google products that enterprises use.

    By • Oct. 1, 2026
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    Physical AI in business gets smarter and more autonomous

    Leaping from the computer screen into dynamic real-world environments, physical AI and embodied robotics take on increasingly more complex and dangerous tasks.

    By Chuck Martin • Sept. 29, 2026
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    Expert Advice

    Code sources and model weights for AI: Know their differences

    Open source, open-weight and proprietary AI models are making headlines. Know where they differ in cost, complexity, convenience and availability when making the optimal choice.

    By Stephen Bigelow • Sept. 29, 2026
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    Microsoft’s Copilot redesign provides an experimental opportunity

    The revamp transforms Copilot from a simple AI assistant into a content workspace, providing knowledge workers with advanced developer tools.

    By • Sept. 28, 2026
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    AI overreliance and its potential impact on human work and life

    AI could forever change the human psyche, experts say

    Generative AI takes on more tasks while asking less of us and agreeing more often, a combination that's weakening our judgment, debugging skills and ability to work independently.

    By • Sept. 25, 2026
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    AI agents can act. It’s unclear if enterprises can stop them.

    As AI agents gain more authority to act on their own, recent incidents are exposing gaps in how enterprises monitor, control and intervene when agents cross established boundaries.

    By • Sept. 25, 2026
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    Anthropic, OpenAI launches show shift toward multi-model enterprise AI

    Anthropic and OpenAI released new models this week, expanding the range of models enterprises can use for different workloads and raising new considerations for multi-model management.

    By • Sept. 24, 2026
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    Expert Advice

    Robotics needs real-time edge AI: Why and where

    AI provides robotics the edge they need in dynamic environments ranging from manufacturing to healthcare, where fast response times and real-time decision making are critical.

    By Stephen Bigelow • Sept. 24, 2026
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    Gemini 3.8 text-to-speech refines voice AI capabilities

    The features Google introduced build on existing technology and provide enterprises with a hub for all their AI model capabilities.

    By • Sept. 24, 2026