The industry's largest event on machine learning observability, Arize:Observe, recently took place, featuring multiple tracks and talks from prominent companies such as Etsy, Kaggle, Opendoor, Spotify, and Uber, among others. The event highlighted key takeaways including the announcement of Arize's ML observability platform now available on a self-serve basis, including a free version. Several speakers emphasized the importance of scaling an ML practice by focusing on customer problems rather than just building a platform for its own sake. Machine learning infrastructure is complex and requires consideration beyond algorithms, with dependences on data layers and surrounding systems. Diversity is crucial in ML teams to improve accuracy, development, and retention, while AI ethics needs to be woven into the fabric of organizations from top to bottom. The industry is maturing, with tooling like Arize helping deploy models with confidence. The future holds promise for multimodal machine learning, including aligning different UMAP models and exploring new techniques such as Grumov Wasserstein distance. Overall, it's an exciting time for the AI industry, with global investment expected to reach $200 billion by 2023, and ML teams needing to invest in best practices and foundational investments in ML platforms to navigate the challenges of model issues impacting business results.