19
Jul
2023
Online
What are some best practices when building SaaS applications incorporating AI elements like Machine Learning (ML), Large Language Models (LLMs), and Generative AI? How do you streamline deployments to operationalize these elements to keep them fast and agile? How do you deploy LLMs? How can Sagemaker be used to train models in a multi-tenant environment?
What are some real-world lessons learned from our experience?
Many companies are rapidly deploying new products with AI features but haven’t yet considered how they will keep them operational, agile, fast, and ahead of their competition. These services are new to them, or being leveraged in new ways requiring different approaches, such as the multi-tenant nature of SaaS platforms.
Keeping your system innovative, agile, and fast requires newer, modern operationalization strategies specific for Machine Learning (MLOps).
Come explore this new area, learn best practices, hear our lessons learned, see the results, and ask questions!
Date: July 19 @ 10-11 AM EST, 5-6 PM IL
10:00-10:05 Welcome
Nathan Hiscock, Director of Growth, Sela US
10:05-10:15 AI-Powered SaaS + Use Cases - Introduction
Nathan Hiscock, Director of Growth, Sela US
10:15-10:30 Multi-Tenant, AI-Powered SaaS Architectural Patterns
Ujwal Bukka, Sr. Solutions Architect, AI SaaS, AWS
10:30-10:45 Operationalizing Language Models
Yehuda Cohen, Chief Technology Officer, Sela US
10:45-10:55 AI-Powered SaaS Case Studies
Nathan Hiscock, Director of Growth, Sela US
Yehuda Cohen, Chief Technology Officer, Sela US
Online
We'd love to see you in our next event