<p>Insurance companies sit on a treasure trove of customer data from many channels, including branch business, telephone support, websites, mobile applications, and the usage of their diverse insurance products. These days, concentrating exclusively on current data records is no longer enough. You need to merge siloed data via a managing data layer and you need to be able to use external and internal data records together to glean powerful, real-time insights.</p>


The Agent-First Approach for GenAI Success

From Productivity Paradox to Abundance Agenda: Jobs, Growth and Inclusion with GenAI

GigaOm finds Astra DB beats Pinecone in the key performance metrics for relevance and production-ready GenAI and RAG apps.

GigaOm Study: Astra DB Smashes Pinecone in GenAI Performance

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What is a Vector Database?

Learn how to build GenAI apps that use your own data.

What is Retrieval Augmented Generation?

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Astra DB Vector Search Quickstart

Restworld is revolutionizing hospitality recruitment and job placement. This webinar will provide an understanding of how innovative use of vector search improved the accuracy of matching job seekers with ideal positions in the hospitality sector.

Strategies for Improving Relevance and Accuracy in Vector Search

We dive into the intricacies of utilizing SAI indexes with vector search.

Unlocking the Power of SAI Indexing and Vector Search

How will LLMs impact your business and application architecture strategy

Large Language Models (LLMs) for the Enterprise: ChatGPT and Beyond

How the largest AI workloads leverage real-time data and Cassandra.

How They Build This: Gen AI Products at Instacart, Shopify, and more

Creating 360 Customer view for customer retention and fraud detection with real-time data and AI.

How to Leverage Real-time Data and AI for Customer Insights with K2View

Learn how a production GenAI application uses vector search.

Path to Production: SkyPoint’s journey with LangChain and Astra DB

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The Top Three Things Insurance Companies are Doing Wrong With Their Data

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