New Study - Take the Data and ML Tooling Survey and get a free copy.
YouGot.us partners with MLOps.Community and other leaders like the Machine Learning Hagout in our industry.
We are spotlighting real-world AI agents making strides in production environments. From e-commerce to food delivery, customer service to analytics, this full-day virtual event gathers the global ML/AI community to exchange hands-on experiences in deploying and scaling AI agents across diverse industries. Attendees can look forward to sessions addressing real-world challenges such as memory management, performance benchmarking, agent behavior control, and balancing latency with response quality. The agenda includes insights from top companies deploying AI agents in applications and services, offering practical guidance on tools, cost management, and aligning UI/UX with agent functionality.
The world of Data Engineering is evolving rapidly, becoming the backbone of scalable machine learning and AI solutions. Together with MLOps.community YouGot.us is launching this comprehensive study focuses on the most effective tools and practices that empower teams to build, deploy, and maintain ML and AI pipelines at scale. From orchestration frameworks like Apache Airflow to advanced monitoring systems, our research highlights impactful engineering practices and technologies that are shaping the future of AI and data-driven decision-making. Join us at https://home.mlops.community/ as we explore how these tools are changing the way organizations approach Data and ML Engineering. Participate in the study here: Join the Study
Large Language Models (LLMs) have revolutionized the tech landscape, sparking curiosity about their practical applications and the hurdles involved in deploying them. During this MLOps.Community event, experienced practitioners will share insights on navigating challenges such as cost optimization, meeting latency demands, ensuring output reliability, and effective debugging strategies. Participants will also have the chance to attend workshops designed to equip them with the knowledge to establish their use cases efficiently, bypassing common obstacles. Register here: https://home.mlops.community