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Agentic AI reality check: 5 blind spots for organizations
An analyst warns that, amid the hype around agentic AI, organizations risk overlooking hidden costs, ethical challenges and workforce readiness.
News
Qualcomm seeks AI expansion with possible Alphawave buy
Qualcomm eyes Alphawave acquisition and buys research firm MovianAI to enhance its AI infrastructure portfolio, which includes an AI accelerator for model inference.
News
Anthropic brings AI to students with Claude for Education
The initiative is unsurprising, especially since students and employers have been pushing for more AI tools. However, it fails to address some issues.
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A technical guide to agentic AI workflows
Implemented correctly, agentic AI workflows can make business process management more responsive, flexible and autonomous.
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AI Infrastructure News
Qualcomm seeks AI expansion with possible Alphawave buy
Qualcomm eyes Alphawave acquisition and buys research firm MovianAI to enhance its AI infrastructure portfolio, which includes an AI accelerator for model inference.
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AI Technologies Manage
Agentic AI reality check: 5 blind spots for organizations
An analyst warns that, amid the hype around agentic AI, organizations risk overlooking hidden costs, ethical challenges and workforce readiness.
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AI Platforms News
Amazon aims at AI agents with Nova Act for browser use
The vendor introduces a new model and SDK that developers can use to build AI agents to complete tasks on the web. But it's not the first -- or even the second -- to do so.
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ML Platforms Problem Solve
Data quality in AI: 9 common issues and best practices
Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.
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AI Business Strategies News
A look at OpenAI's $40B funding and $300B valuation
While the amount investors promised shows the potential for the ChatGPT maker in the AI market, concerns about the vendor's profitability could keep it from seeing the full amount.
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Applications of AI Manage
MLOps vs. DevOps: How are they different?
DevOps and MLOps share common goals -- but managing machine learning models brings a whole new set of challenges.
Sponsored Sites
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Cloud Computing
Capgemini and AWS: A Trusted Partnership
Capgemini and Amazon Web Services (AWS) blend deep industry knowledge, cloud expertise, and services to help you realize your vision of a 21st-century business. Capgemeni and AWS enable your digital future with proven methodologies and programs to accelerate your journey to the cloud, delivering innovative solutions to help you reach your business ambitions and a sustainable future.
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One Identity | Integrated Cybersecurity for all Your Identities
Learn how One Identity provides integrated cybersecurity solutions, delivering a truly unified identity platform and streamlining management across on-premises and cloud resources.
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Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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ChatGPT vs. GPT: How are they different?
Although the terms ChatGPT and GPT are both used to talk about generative pre-trained transformers, there are significant technical differences to consider.
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When to use prompt engineering vs. fine-tuning
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Advantages and disadvantages of AI explained
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AI existential risk: Is AI a threat to humanity?
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Problem Solve
Data quality in AI: 9 common issues and best practices
Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.
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How bad is generative AI data leakage and how can you stop it?
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6 ways to reduce different types of bias in machine learning
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A short guide to managing generative AI hallucinations
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Manage
MLOps vs. DevOps: How are they different?
DevOps and MLOps share common goals -- but managing machine learning models brings a whole new set of challenges.
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Agentic AI reality check: 5 blind spots for organizations
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A technical guide to agentic AI workflows
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How does the bag-of-words model work in NLP?
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Enterprise Artificial Intelligence Basics
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Get Started
When to use prompt engineering vs. fine-tuning
Understanding the pros and cons of each method can help your organization get more out of its generative AI systems.
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Get Started
GitHub Copilot vs. ChatGPT: How do they compare?
Copilot and ChatGPT are generative AI tools that can help coders be more productive. Learn about their strengths and weaknesses, as well as alternative coding assistants.
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Get Started
What is neural radiance field (NeRF)?
Neural radiance fields (NeRFs) use deep learning to turn 2D images of objects or scenes into detailed 3D representations by encoding the entire scene into an artificial neural network.
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AI infrastructure
Qualcomm seeks AI expansion with possible Alphawave buy
Qualcomm eyes Alphawave acquisition and buys research firm MovianAI to enhance its AI infrastructure portfolio, which includes an AI accelerator for model inference.
-
AI technologies
Anthropic brings AI to students with Claude for Education
The initiative is unsurprising, especially since students and employers have been pushing for more AI tools. However, it fails to address some issues.
-
AI business strategies
A look at OpenAI's $40B funding and $300B valuation
While the amount investors promised shows the potential for the ChatGPT maker in the AI market, concerns about the vendor's profitability could keep it from seeing the full amount.
Search Enterprise AI Definitions
- What is neural radiance field (NeRF)?
- What is Gemma? Google's open sourced AI model explained
- What is GenAI? Generative AI explained
- What is lemmatization?