The MLOps Live Webinar Series

If you're building a gen AI application, such as a conversational agent that will be interacting directly with your customers, you're probably facing some of these challenges:

• Minimizing AI hallucinations
• Chatbot response times
• Ensuring personally identifiable information (PII) remains secure
• Ensuring the virtual agent is up to date with your company's policies and procedures
• Creating a virtual agent that can converse in the correct tone of voice with each customer, based on the data you have on file (hyper-personalization)
• Optimizing customer satisfaction
• Reducing time spent on each interaction
• Working at scale in a cost-effective way

In this session, we discuss the unique challenges of implementing gen AI in production environments, when agents are in direct contact with your customers.

We share the Iguazio & MongoDB one-stop-shop solution for building gen AI applications that scale effectively and efficiently, with built-in guardrails and monitoring. We'll show how the end-to-end application lifecycle is addressed – From data management all the way to governance and monitoring in production.

We share a live demo of a customer-facing agent conversing with different customers at a large bank, and adapting its responses and tone of voice to each customer. We also held a live discussion and Q&A where you can hear fantastic questions.