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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

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Enterprise AI

The Emerging Landscape of Knowledge Engineering

Artificial intelligence (AI) has continued to change the way the world views what is technologically possible. Moving from theoretical to implementable, the emergence of technologies like ChatGPT allowed users of all backgrounds to leverage the power of AI. Now, companies across the globe are taking a deeper dive into their own AI and machine learning (ML) capabilities; they’re measuring the modes of success needed to become truly AI-driven, moving beyond baseline business intelligence goals and expanding to more innovative uses in areas such as security, automation, and performance.

In DZone’s Enterprise AI Trend Report, we take a pulse on the industry nearly a year after the ChatGPT phenomenon and evaluate where individuals and their organizations stand today. Through our original research that forms the “Key Research Findings” and articles written by technical experts in the DZone Community, readers will find insights on topics like ethical AI, MLOps, generative AI, large language models, and much more.

Published: Mar. 28, 2024

Featured Authors

Kellyn Gorman
Director of Data and AI, Silk
Yifei Wang
Senior Machine Learning Engineer, Meta
Daniela Kolarova
System Architect, Commerzbank Digital Centre Sofia
Boris Zaikin
Lead Solution Architect, CloudAstro GmBH
Daniel Stori
Software Development Manager, AWS
Tuhin Chattopadhyay
CEO at Tuhin AI Advisory and Professor of Practice, JAGSoM
Pratik Prakash
Principal Solution Architect, Capital One
Cate Lawrence
Writer, Cate Lawrence @Cate_Lawrence
G. Ryan Spain
Automation Advocate, Poet, Machine Learning Enthusiast

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