Tag: Ai
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MCP + SQL: The secret weapon to connect AI to enterprise systems
Posted on August 31, 2025, Level intermediate Resource Length medium
This article addresses the common challenge of integrating AI with existing enterprise systems like Salesforce and SAP. The core concept is leveraging Large Language Models' (LLMs) proficiency in SQL alongside a standardized communication protocol called the Model Context Protocol (MCP). By Manish Patel.
Tags sql database ai bots devops
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How to evaluate graph retrieval in MCP agentic systems
Posted on August 5, 2025, Level intermediate Resource Length medium
Agentic systems, which leverage tools like knowledge graphs, often struggle with effectively retrieving relevant information from these graphs to inform their decision-making process, leading to inaccuracies and inefficiencies. This article addresses the need for robust evaluation of graph retrieval components within these systems. By Tomaz Bratanic.
Tags ai bots app-development web-development frameworks data-science
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Container registry SSL and K8s Kind
Posted on July 29, 2025, Level advanced Resource Length long
AI safety discussions predominantly focus on easy to conceptualise, highly salient risks including algorithm bias, hallucinations and disinformation. While these are crucial concerns, they overlook a fundamental truth we've learned from other high-stakes fields like aviation and healthcare: sometimes the most dangerous risks can hide in plain sight. By Manu Savani.
Tags ai cio infosec software learning management
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Building a real-time video AI service with Google Gemini
Posted on July 16, 2025, Level beginner Resource Length long
The article describes the development of a real-time video AI service for a major global service provider, leveraging Google Gemini's Multimodal Live API and Akka's SDK. The team successfully built, deployed, and scaled the service to handle thousands of transactions per second, far exceeding customer requirements. Key components included video ingestion, augmentation, and conversational storage, all deployed within a private Akka environment provisioned in a Google VPC in just 2 hours. By Johan Andrén.
Tags akka java ai app-development google
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Addressing hidden risks in AI implementation for safety
Posted on July 14, 2025, Level beginner Resource Length long
AI safety discussions predominantly focus on easy to conceptualise, highly salient risks including algorithm bias, hallucinations and disinformation. While these are crucial concerns, they overlook a fundamental truth we've learned from other high-stakes fields like aviation and healthcare: sometimes the most dangerous risks can hide in plain sight. By Manu Savani.
Tags ai cio infosec software learning management
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Make Cline enterprise-ready using an AI Gateway
Posted on July 12, 2025, Level advanced Resource Length medium
Cline is an AI-powered coding assistant that enhances developers' productivity by offering advanced code suggestions and support in debugging and architectural tasks. However, when scaling Cline across an organization, challenges such as security risks, usage tracking, and compliance arise. Portkey's AI Gateway addresses these challenges by providing enterprise-ready features like centralized access, observability, governance, and security guardrails. By Drishti Shah.
Tags software ai programming web-development app-development
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Multimodal AI for IoT devices requires a new class of MCU
Posted on July 2, 2025, Level beginner Resource Length long
Context-aware computing enables ultra-low-power operation while maintaining high-performance AI capabilities when needed. The rise of AI-driven IoT devices is pushing the limits of today's microcontroller unit (MCU) landscape. While AI-powered perception applications—such as voice, facial recognition, object detection, and gesture control—are becoming essential in everything from smart home devices to industrial automation, the hardware available to support them is not keeping pace. By Todd Dust.
Tags programming cloud ai infosec servers iot how-to
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Anonymize RAG data in IBM Granite and Ollama using HCP Vault
Posted on June 24, 2025, Level beginner Resource Length long
This article explores using HCP Vault to anonymize sensitive data in retrieval augmented generation (RAG) workflows with IBM Granite and Ollama. It addresses the risk of large language models (LLMs) leaking personal identifiable information (PII) by employing Vault's transform secrets engine for data masking and tokenization. By Rosemary Wang.
Tags ibm bots ai miscellaneous cio data-science
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How AI bots secretly infiltrated a Reddit forum, sparking ethical outrage
Posted on June 22, 2025, Level beginner Resource Length medium
In a startling breach of digital trust, researchers from the University of Zurich conducted a secret experiment on Reddit, deploying sophisticated AI bots to influence human opinion on the popular r/changemyview forum. By Angela Yang.
Tags ai bots miscellaneous cio browsers
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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