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Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

SBOMs are essential to circumventing software supply chain attacks, and they provide visibility into various software components.

The Latest AI/ML Topics

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Building an AI/ML Data Lake With Apache Iceberg
Learn how Apache Iceberg powers AI/ML data lakes with time travel and schema flexibility, shown via a full Python-based feature store implementation.
May 20, 2025
by Anant Kumar
· 2,258 Views · 1 Like
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Secrets Sprawl and AI: Why Your Non-Human Identities Need Attention Before You Deploy That LLM
Your RAG implementation can expose secrets in some unexpected ways. Secure your LLM deployments and scrub knowledge bases to prevent your secrets from leaking.
May 20, 2025
by Dwayne McDaniel
· 2,918 Views · 1 Like
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Operational Principles, Architecture, Benefits, and Limitations of Artificial Intelligence Large Language Models
Large Language Models (LLMs) are advanced AI systems that generate human-like text by learning from extensive datasets and employing deep learning neural networks.
May 19, 2025
by Venkata Suresh Babu Chilluri
· 2,211 Views · 1 Like
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Navigating the LLM Landscape: A Comparative Analysis of Leading Large Language Models
Here is an in-depth analysis comparing top LLMs, including OpenAI and its exciting contenders like LangChain, Anthropic, Cohere, Google, and more.
Updated May 19, 2025
by Jorge Torres
· 3,501 Views · 2 Likes
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AI-Driven Test Automation Techniques for Multimodal Systems
Learn how AI-powered test automation improves reliability and efficiency in multimodal AI systems by addressing complex testing challenges effectively.
May 19, 2025
by Gaurav Sharma
· 2,037 Views · 4 Likes
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The Smart Way to Talk to Your Database: Why Hybrid API + NL2SQL Wins
Discover why the future of database interaction — it's a smart hybrid of solid backend architecture and AI-powered NL2SQL assistance.
May 19, 2025
by Dmitry Narizhnykh DZone Core CORE
· 6,791 Views · 3 Likes
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Integrating Model Context Protocol (MCP) With Microsoft Copilot Studio AI Agents
Model Context Protocol (MCP) integrates seamlessly with Copilot Studio, enabling AI agents to access real-time data and interoperate.
May 19, 2025
by Aravind Nuthalapati DZone Core CORE
· 22,529 Views · 1 Like
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The Full-Stack Developer's Blind Spot: Why Data Cleansing Shouldn't Be an Afterthought
Full-stack developers often focus on clean code but neglect clean data, leading to performance issues, security vulnerabilities, and frustrated users.
May 16, 2025
by Farah Kim
· 3,282 Views · 2 Likes
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How Can Developers Drive Innovation by Combining IoT and AI?
Discover how developers can drive innovation by combining IoT and AI to create transformative solutions and unlock new opportunities across industries.
May 16, 2025
by Harris Anderson
· 3,455 Views · 1 Like
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AI-Driven Root Cause Analysis in SRE: Enhancing Incident Resolution
This article examines how AI is transforming root cause analysis (RCA) in Site Reliability Engineering by automating incident resolution and improving system reliability.
May 16, 2025
by Nikhil Kapoor
· 3,981 Views · 5 Likes
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Developers Beware: Slopsquatting and Vibe Coding Can Increase Risk of AI-Powered Attacks
Slopsquatting and vibe coding are fueling a new wave of AI-driven cyberattacks, exposing developers to hidden risks through fake, hallucinated packages.
May 14, 2025
by Aminu Abdullahi
· 4,172 Views · 2 Likes
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Unlocking AI Coding Assistants: Generate Unit Tests
This blog post instructs on creating qualitative unit tests for a Spring Boot application using an AI coding assistant and its capabilities and limitations.
May 14, 2025
by Gunter Rotsaert DZone Core CORE
· 3,569 Views · 2 Likes
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Beyond Code Coverage: A Risk-Driven Revolution in Software Testing With Machine Learning
Machine learning-driven, risk-based testing targets critical risks, automates test selection, and improves software reliability.
May 14, 2025
by Gopinath Kathiresan
· 3,111 Views · 1 Like
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Intro to RAG: Foundations of Retrieval Augmented Generation, Part 1
Retrieval-augmented generation (RAG) retrieves relevant information from external sources to improve the accuracy and reliability of responses, making it a powerful tool.
May 14, 2025
by Jennifer Reif DZone Core CORE
· 3,041 Views · 3 Likes
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Ethical AI in Agile
Learn all about ethical AI integration for Agile teams with four key guardrails: Data Privacy, Human Value, Output Validation, and Transparent Attribution.
May 14, 2025
by Stefan Wolpers DZone Core CORE
· 2,306 Views · 2 Likes
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Agentic AI for Automated Application Security and Vulnerability Management
Explore how agentic AI enables several agents to jointly detect, fix, and verify security vulnerabilities in your codebase.
May 13, 2025
by Vamsi Kavuri DZone Core CORE
· 11,748 Views
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Fraud Detection Using Artificial Intelligence and Machine Learning
AI/ML is revolutionizing fraud detection with automated, adaptive, real-time anomaly detection, despite challenges like interpretability.
May 13, 2025
by Nikhil Kapoor
· 2,317 Views · 3 Likes
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How AI Agents Are Transforming Enterprise Automation Architecture
AI agents enhance enterprise automation through multi-layered architectures, improving efficiency and handling complex tasks across various sectors.
May 13, 2025
by Nishant Bijani
· 2,313 Views
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The Role of Retrieval Augmented Generation (RAG) in Development of AI-Infused Enterprise Applications
Explore how RAG enhances enterprise AI apps by improving contextual accuracy, relevance, and response quality across real-world use cases.
May 13, 2025
by Ram Ravishankar
· 2,103 Views
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AI-Based Threat Detection in Cloud Security
Learn how AI enhances cloud security with advanced threat detection methods like supervised learning, LLMs, and self-healing systems, tackling modern challenges.
May 12, 2025
by Tanvir Kaur
· 3,738 Views
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