DevOps is changing rapidly, and smart automation is at the center of this evolution. Machine learning and predictive analytics enable teams to automate system health optimization, issues discovery, and deployments.This change results in lesser manual effort, enhanced accuracy, higher agility in software development, and advancement. In this article, we will learn the impacts of … [Read more...] about How AI is Transforming DevOps in Software Development
DevOps
J On the Beach 2025
J on the Beach is a three-day purely technical conference based ON THE BEACH with workshops, a hackathon and technical talks where top speakers will share the latest trends in technologies related to Big Data.' 2024's conference brought over 700 Attendees, 55 Speakers and 10 workshops and 2025 is gearing up to be even bigger and better!' ' WHAT TO EXPECT' The eighth edition of … [Read more...] about J On the Beach 2025
Data Innovation Summit 2025
The Data Innovation Summit is the largest and most influential annual Data and AI event in the Nordics and beyond, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Applied Data Innovation, Data Science, Big Data, ML, Applied AI, Generative AI, Data Management, Data Engineering, … [Read more...] about Data Innovation Summit 2025
How to Conduct a Security Audit of Your CI/CD Pipeline
Evaluating the security of your CI/CD pipeline is crucial for shielding your software deployment from threats and adhering to security protocols. New research has revealed that 68% of businesses fell victim to a cyberattack in the last year, emphasizing the importance of comprehensive audits. These audits find and correct security flaws like misconfigurations, unauthorized … [Read more...] about How to Conduct a Security Audit of Your CI/CD Pipeline
What Is MLOps, and Why Do We Need It?
Making the leap from a proof-of-concept to a production-ready application is one of the hardest tasks in the field of machine learning. The point is that ML models that perform flawlessly in a lab environment frequently fail when applied to real-world scenarios. Only 32% of data scientists surveyed say their ML models usually deploy. The pervasive failure of AI/ML projects … [Read more...] about What Is MLOps, and Why Do We Need It?
