YouGot.Us Events: Empowering Innovators and Company Leaders with AI Knowledge
See the First Data Engineering For AI Results!
AI Agents Are Moving from R&D to Reality — Are You Ready? In collaboration with with MLOps.Community - November 13, 2024
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.
Data Engineering for AI and ML - Event and Study in collaboration with MLOps.Community - September 12, 2024
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
AI in Production - A Virtual MLOps Community Event - February 22, 2024
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
