Big Data and AI Toronto - Follow-up Series

Even though Big Data & AI Toronto 2021 is over, we continue exploring AI, Big Data, Cloud, and Cybersecurity through our Follow-up Series. Experts from Pachyderm Inc. and H2O.ai will be joining us for this webinar.

Session 1: Scaling Data Preparation for Your Data-Centric AI Development (Pachyderm Inc.)

As teams look to productionize their ML efforts, versioning, tagging, and labeling the data becomes even more difficult. The challenge for MLOps and DataOps teams will be to operationalize their data to better meet the needs of their end-users.

In this talk, you'll learn:
✔️ What is DataOps, and how are teams looking to scale their AI/ML workflows
✔️ The importance of data preparation (versioning and labeling)
✔️ How teams can automate these workflows into robust pipelines

Session 2: Building AI Apps and Driving AI Adoption (H2O.ai)

Developing a modern AI application that can consume predictive models is one of the most time-consuming tasks in the data science lifecycle. It takes software engineers, data scientists, and others’ collective effort many hours to develop a solid AI product. As a result, many data science models never reach business users or get into production.

Does this sound familiar? Join this webinar to learn how H2O Wave enables organizations to develop AI applications in a short amount of time and with little effort, therefore contributing to AI adoption across the company.