Instant Insights & Analytics for Unstructured Data with Google Cloud

To attend, please fill out the registration form:
https://docs.google.com/forms/d/e/1FAIpQLSdug1CpncqkwJphYwviw5-rg1wxTHMsZxMPl8K33vOcmZDz1A/viewform?usp=sf_link

Event Overview:
This event will focus on introducing and showcasing Gen AI applications using Gemini 1.5 Pro to gather quick insights using your own enterprise data (customer feedback). Understand the power of RAG applications and how grounding LLMs with enterprise data can unlock value beyond traditional analytics. Gain the insights to accelerate your organization's unstructured securely and efficiently.

Why Attend:

• At the end of the event, you will be able to analyze 100s of your bills at once.
• Seamlessly integrate extracted data into workflows like ERP systems.
• Deliver business intelligence insights in just 2 minutes instead of 2 days.
• Identify patterns and insights from your invoices in minutes.
• Ability to ground LLMs with your data in a secure way.
• Networking opportunities with fellow professionals and GCP experts.
• Exclusive: Access a free sandbox demo for testing your data, which will be live for 3 to 4 days immediately after the live session.

Key Takeaways:

• ROI for practical Generative AI use cases.
• Introduction to Generative AI capabilities and vector databases on GCP.
• Gen AI powered OCR with >90% accuracy.
• Exploring enterprise grade Gen AI use cases with Bigquery, Vertex AI Model Garden and Vector Search.
• Building Gen AI applications with GCP tools to ensure best security practices.
• Grounding and fine-tuning models using Retrieval Augmented Generation.

Agenda:

• Introduction: Why GCP & Vertex AI for enterprise Gen AI use cases.
  Fundamentals:
• What is a Large Language Model?
• Workflow of a generative AI application and key terms.
• Importance of RAG in grounding LLMs for specific use cases.
  Use case:
• Data introduction, definitions & summary.
• Capture standard and non-standard data from invoices with Gen AI-powered OCR
• Deriving insights from your invoices.
• Cashflow analytics.

Who Should Attend:

• CXOs
• VPs of Product, Engineering & Operations
• Directors

Event Details:

• Date: 6th February 2025
• Time: 4:00 PM - 5:30 PM IST
• Location: Virtual