AI/ML Resources

Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)

Explore how C# developers can use Docker Model Runner to run AI models locally, reduce setup time, and integrate OpenAI-compatible APIs into their apps.

July 2, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 4,756 Views · 3 Likes

Reinforcement Learning in CRM for Personalized Marketing

Reinforcement learning (RL) enables CRM systems to build adaptive marketing strategies that optimize not only immediate response but also long-term customer value (CLV).

July 2, 2025

by Sergei Berezin

· 1,872 Views · 2 Likes

A Keycloak Example: Building My First MCP Server Tools With Quarkus

Learn to build an MCP server for Keycloak. The article shows how to create a Model Context Protocol (MCP) server for Keycloak using Quarkus and Goose CLI.

July 1, 2025

by Shaaf Syed

· 3,243 Views · 5 Likes

Ethical AI for Product Owners and Product Managers

In this article, we discuss ethical AI for Product Owners and Product Managers and how to balance AI’s potential with its product discovery and delivery risks.

July 1, 2025

by Stefan Wolpers

CORE

· 1,143 Views · 4 Likes

Zero-Click CRM: The Future of Predictive Customer Management With Autonomous AI

Zero-Click CRM is a new stage in the development of AI-CRM systems, where artificial intelligence independently predicts and initiates interaction with the client.

July 1, 2025

by Sergei Berezin

· 1,742 Views · 2 Likes

Docker Model Runner: Running AI Models Locally Made Simple

Docker Model Runner: run AI models locally with zero setup. Pull from Docker Hub, chat via CLI or API. OpenAI-compatible. Beta.

July 1, 2025

by Suleiman Dibirov

CORE

· 3,787 Views · 2 Likes

Zero-Trust AI: Applying Cybersecurity Best Practices to AI Model Development

Powerful AI models, such as ChatGPT and Google's Gemini, are transforming technology, but they also pose significant security challenges.

June 30, 2025

by Rianat Abbas

· 1,679 Views · 2 Likes

AI Coding Assistants: Capabilities, Tools, Trends, and Comparisons

AI coding assistants are in trend now. Check some of the AI code assistant tools available, and what best suits your development and documentation activities.

June 27, 2025

by Udaya Veeramreddygari

· 6,909 Views · 2 Likes

Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerize your ML model with Docker and deploy it on AWS EKS using Kubernetes in this hands-on guide. Learn to build, serve, and scale your models with ease.

June 27, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,421 Views · 6 Likes

Advanced NLP-Powered Financial Ledger Reconciliation Using LangChain

This article explains how LangChain and NLP (Natural Language Processing) can help automate financial ledger reconciliation.

June 27, 2025

by Sunil Pradhan Sharma

· 2,360 Views · 5 Likes

AI-Driven Autonomous ERP Systems: Engineering Management Perspective

AI-driven autonomous ERP systems represent the future of enterprise software. This paper elaborates on various nuances associated with it.

June 27, 2025

by Harsh Verma

· 2,038 Views · 1 Like

The Missing Layer in AI Pipelines: Why Data Engineers Must Think Like Product Managers

Most AI project failures result from data issues, not model flaws. To succeed, data engineers must adopt a product manager mindset.

June 27, 2025

by Rajanikantarao Vellaturi

· 2,111 Views · 2 Likes

My Dive into Local LLMs, Part 1: From Alexa Curiosity to Homegrown AI

I set up Ollama on Ubuntu to run LLMs locally. CPU performance was a drag, but when GPU acceleration kicked in, it was a total "whoa" moment.

June 27, 2025

by Praveen Chinnusamy

· 57,066 Views · 3 Likes

What Is Voice AI and How Does It Work?

A practical guide to understanding Voice AI, its benefits, and why it matters in 2025 and beyond. See how modern businesses are using Voice AI.

June 26, 2025

by Parthiba kumar

CORE

· 1,717 Views

AI-Powered Knowledge: LlamaIndex and Apache Tika for Enterprises

LlamaIndex leverages Apache Tika to extract data from legacy Word .doc files, helping businesses unlock decades-old content for modern AI tasks like search and analysis.

June 26, 2025

by Ram Ghadiyaram

CORE

· 2,358 Views · 4 Likes

Serverless Machine Learning: Running AI Models Without Managing Infrastructure

The article empowers developers to deploy and serve ML models without needing to manage servers, clusters, or VMs, reducing time-to-market and cognitive overhead.

June 26, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,438 Views · 5 Likes

How to Banish Anxiety, Lower MTTR, and Stay on Budget During Incident Response

Cutting log ingestion seems thrifty — until an outage happens and suddenly you really need those signals! See how zero-cost ingestion can get rid of MTTR anxiety.

June 26, 2025

by John Vester

CORE

· 2,319 Views · 1 Like

The Unreasonable Effectiveness of the Actor Model for Creating Agentic LLM Applications

Large language models are, in effect, actors. We exploit this fact to develop a system to easily create composable agentic applications.

June 25, 2025

by Alan Littleford

· 2,521 Views · 2 Likes

Machine Learning for CI/CD: Predicting Deployment Durations and Improving DevOps Agility

Learn how to build an ML regression model that predicts CI/CD deployment duration using pipeline metadata, code metrics, and infrastructure features.

June 25, 2025

by Elakkiya Daivam

· 2,052 Views · 2 Likes

DevOps at the Edge: Deploying Machine Learning Models on IoT Devices

Deploying ML models on IoT devices using DevOps practices enables scalable, low-latency intelligence at the edge without managing cloud infrastructure.

June 25, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,856 Views · 4 Likes

The Latest AI/ML Topics