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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

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

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

  1. DZone
  2. Trend Reports
  3. Generative AI
trend report cover image

Generative AI

The Democratization of Intelligent Systems

AI technology is now more accessible, more intelligent, and easier to use than ever before. Generative AI, in particular, has transformed nearly every industry exponentially, creating a lasting impact driven by its (delivered) promises of cost savings, manual task reduction, and a slew of other benefits that improve overall productivity and efficiency. The applications of GenAI are expansive, and thanks to the democratization of large language models, AI is reaching every industry worldwide.

Our focus for DZone's 2025 Generative AI Trend Report is on the trends surrounding GenAI models, algorithms, and implementation, paying special attention to GenAI's impacts on code generation and software development as a whole. Featured in this report are key findings from our research and thought-provoking content written by everyday practitioners from the DZone Community, with topics including organizations' AI adoption maturity, the role of LLMs, AI-driven intelligent applications, agentic AI, and much more.

We hope this report serves as a guide to help readers assess their own organization's AI capabilities and how they can better leverage those in 2025 and beyond.

Published: Mar. 20, 2025

Table of Contents

3
Welcome Letter
4
Key Research Findings: An Analysis of Results from DZone's 2025 Generative AI Survey
28
[infographic] Artificial Intelligence, Real Consequences: Balancing Good vs. Evil AI
29
A Pulse on Generative AI Today: Navigating the Landscape of Innovation and Challenges
37
Supercharged LLMs: Combining Retrieval Augmented Generation and AI Agents to Transform Business Operations
42
Agentic AI and Generative AI: Revolutionizing Decision Making and Automation
46
Building AI-Driven Intelligent Applications: A Hands-On Development Guide for Integrating GenAI Into Your Applications
56
[checklist] A Comprehensive Guide to Protect Data, Models, and Users in the GenAI Era
61
Solutions Directory

Featured Authors

Frederic Jacquet
Technology Evangelist, AI[4]Human-Nexus
Tuhin Chattopadhyay
CEO at Tuhin AI Advisory and Professor of Practice, JAGSoM
Pratik Prakash
Principal Solution Architect, Capital One
Nitesh Upadhyaya
Solution Architect, Globallogic
Naga Santhosh Reddy Vootukuri
Principal Software Engineering Manager, Microsoft
Boris Zaikin
Lead Solution Architect, CloudAstro GmBH
G. Ryan Spain
Automation Advocate, Poet, Machine Learning Enthusiast
DZone Editorial
Editorial, DZone

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