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 we are 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 22nd

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

AI in Production - LLM Maturity

The findings from the “AI in Production” event, held in February 2024, reveal a stark disparity in organizational LLM maturity across industries and company sizes. AI startups and organizations within the AI and ML sector are leading in LLM expertise, with a significant proportion of respondents identifying as Experts or Advanced in their adoption and application of these technologies. In contrast, traditional industries such as Data Analytics, Healthcare, and large enterprises, including Fortune 1000 companies, report lower levels of maturity. Our study highlights that while smaller, AI-focused companies are making strides in leveraging LLMs, many larger and more established businesses are still in the early stages of adoption. This trend underscores the critical need for greater investment in AI capabilities and upskilling within traditional industries to remain competitive in an increasingly AI-driven market.

See the initial MLOps.Community Survey Results

About MLOps Community

The MLOps Community addresses the rapidly expanding necessity for sharing real-world Machine Learning Operations (MLOps) best practices among engineers actively working in the field. Although MLOps and DevOps share considerable common ground, the distinctions between them are just as significant. Recognizing the need for a dedicated platform to tackle the distinct challenges encountered daily in constructing production AI/ML pipelines, the MLOps Community was born. United by a shared commitment to innovation and excellence, we offer a space where professionals can collaborate, share insights, and learn from each other. Our community is open to all, from seasoned experts to those just embarking on their MLOps journey. Join us to explore, learn, and contribute to the evolving field of MLOps. Discover more and become part of our growing network at MLOps Community.

About YouGot.Us Insights

At YouGot.us Insights, we stand at the intersection of advanced Data Science and market research. Our ethos is centered around harnessing the immense power of data to unlock transformative business insights, bridging the gap between information and action. YouGot.us Research is committed to open research and sharing our results, embracing a philosophy that knowledge should be accessible to all. Our dedication to transparency and collaboration is fundamental to our mission, as we believe that shared insights can foster innovation and drive progress across industries. Machine Learning Hangout is the online community associated with YouGot.us.