What You Need to Know Before
You Start

Starts 4 July 2025 14:01

Ends 4 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

Culture and Methods Trends in 2025 - AI Impact on Engineering Teams

Delve into the future with our session on Culture and Methods Trends in 2025, specifically focusing on AI's transformative role in engineering teams. Gain insights from industry leaders as they shed light on building resilience in teams, the significance of observability trends, and the continuous evolution of the software development landsc.
InfoQ via YouTube

InfoQ

2777 Courses


1 hour 9 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Video

Optional upgrade avallable

Overview

Delve into the future with our session on Culture and Methods Trends in 2025, specifically focusing on AI's transformative role in engineering teams. Gain insights from industry leaders as they shed light on building resilience in teams, the significance of observability trends, and the continuous evolution of the software development landscape.

Presented by leading figures in the sector, this event is a must-watch for those in Artificial Intelligence and programming fields, keen on staying ahead in the rapidly changing tech environment.

Syllabus

  • Introduction to AI Impact on Engineering Teams
  • Overview of AI advancements by 2025
    AI's role in modern engineering teams
  • 2025 Culture & Methods Trends
  • Current trends influencing engineering cultures
    Methods that enhance team productivity and resilience
  • Building Resilient Engineering Teams
  • Key attributes of resilient teams
    Strategies for integrating AI to strengthen team dynamics
  • Observability Trends in 2025
  • The evolution of observability tools and techniques
    Implementing AI-driven observability for enhanced system insights
  • AI and the Evolving Software Development Landscape
  • Changes in software development practices due to AI
    Balancing automation and human expertise in software engineering
  • Case Studies and Industry Insights
  • Real-world examples of AI integration in engineering teams
    Lessons learned from leading companies
  • Future Directions and Emerging Trends
  • Predictions for AI's role and its future impact on engineering
    Preparing for upcoming challenges and opportunities
  • Conclusion: Synthesizing Learnings
  • Key takeaways from the course
    Practical steps for applying course insights in professional settings

Subjects

Programming