Tag: Ai
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Exclusive-OpenAI taps Google in unprecedented cloud deal despite AI rivalry
Posted on June 15, 2025, Level intermediate Resource Length medium
OpenAI is collaborating with Alphabet's Google Cloud, a move designed to address the escalating demand for high-powered computing infrastructure required by AI models. The agreement, finalized in May, represents a substantial expansion of Google's cloud services, signaling a broadening strategic focus beyond Microsoft's Azure. By CNA.
Tags cloud ai gcp google
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Anonymize RAG data in IBM Granite and Ollama using HCP Vault
Posted on June 8, 2025, Level beginner Resource Length long
In this summary, we explore how IBM Granite and Ollama can be integrated with HCP Vault to handle sensitive data effectively. The method involves configuring vaults to mask or tokenize data before passing it to the LLMs, ensuring that personal identifiable information (PII) is protected. By Rosemary Wang.
Tags ibm big-data ai data-science devops
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Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs
Posted on May 20, 2025, Level beginner Resource Length medium
Large language models (LLMs) have demonstrated remarkable capabilities in reasoning, language understanding, and even creative tasks. Yet, a key challenge persists: how to efficiently integrate external knowledge. By Taketomo Isazawa.
Tags azure cloud ai cio big-data
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Retrieval Augmented Generation (RAG) tutorial for beginners
Posted on May 9, 2025, Level beginner Resource Length medium
Retrieval-augmented Generation (RAG) is an AI approach that improves machine understanding and response accuracy. By integrating traditional AI language models with real-time retrieval of relevant external data, RAG bridges knowledge gaps, enabling more precise and contextually rich answers. By Vidhi Gupta.
Tags machine-learning data-science big-data ai learning
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Can vibe coding produce production-grade software?
Posted on May 1, 2025, Level beginner Resource Length long
Thoughtworks explored "vibe coding," where an AI generates software from minimal functional requirements without detailed architectural guidance. They tested this approach through three experiments building the System Update Planner application. By Premanand Chandrasekaran.
Tags ai programming miscellaneous how-to learning
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Raspberry Pi AI camera explained: What it is & how to use it
Posted on April 24, 2025, Level beginner Resource Length long
The Raspberry AI Camera is a high-resolution visual sensor with a neural processing unit (NPU). This hardware makes it perfect for AI vision capabilities—such as object detection, pose estimation, and semantic segmentation—and lets it process images/videos on-device. By Thomas Dyan.
Tags big-data machine-learning ai robotics python
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How gen AI is helping drive vehicle autonomy
Posted on April 12, 2025, Level beginner Resource Length long
AI can be a key enabler in overcoming technological hurdles to vehicle autonomy by generating synthetic datasets, for example. Collaboration within the autonomous vehicle industry is key to harnessing the potential of gen AI, while addressing associated risks. By Maria Alonso, Alex Koster and Paul Jordan.
Tags ai miscellaneous analytics big-data robotics
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AI-driven weather prediction breakthrough reported
Posted on April 8, 2025, Level beginner Resource Length medium
Researchers say Aardvark Weather uses thousands of times less computing power and is much faster than current systems. By Rachel Hall and Ian Sample.
Tags ai agile miscellaneous analytics big-data cio data-science
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Leading effective engineering teams in the age of GenAI
Posted on April 4, 2025, Level beginner Resource Length medium
Using AI in software development is not about writing more code faster; it's about building better software. It's up to you as a leader to define what "better" means and help your team navigate how to achieve it. Treat AI as a junior team member that needs guidance. Train folks to not over-rely on AI; this can lead to skill erosion. Emphasize "trust but verify" as your mantra for AI-generated code. Leaders should upskill themselves and their teams to navigate this moment.Using AI in software development is not about writing more code faster; it's about building better software. It's up to you as a leader to define what "better" means and help your team navigate how to achieve it. Treat AI as a junior team member that needs guidance. Train folks to not over-rely on AI; this can lead to skill erosion. Emphasize "trust but verify" as your mantra for AI-generated code. Leaders should upskill themselves and their teams to navigate this moment. By Addy Osmani.
Tags management cio performance ai agile teams
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15 best AI coding assistant tools in 2025
Posted on March 27, 2025, Level beginner Resource Length long
AI code generation promises a quick boost of productivity for programmers. To generate code using AI, first choose an AI-powered coding assistant tool. Then, provide a natural language description of your expected cod. The list of AI coding assistants compiled by Ayelet Slasky.
Tags ai bots app-development how-to
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What is prompt engineering?
Posted on January 20, 2025, Level beginner Resource Length long
Business leaders require guidance and support to achieve organizational goals. This is where the Chief Information Officer (CIO) plays a crucial role in driving technology strategies and innovation. The CIO is responsible for aligning IT initiatives with business objectives, ensuring that organizations remain competitive in an evolving tech landscape. By Megan Crouse.
Tags app-development web-development ai learning
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Ten AI strategy questions every CIO must answer
Posted on January 14, 2025, Level beginner Resource Length medium
The article highlights 10 AI strategy questions that every CIO must answer. These questions cover various aspects of AI implementation, including data, talent, and organizational culture. The CIO should consider these questions to ensure they are on the right track with their organization's AI journey. By Mary K. Pratt.
Tags cio career learning ai app-development