Podcast: Using AI to Supercharge Data-Driven Applications with Zilliz
Traditional databases are great for handling structured data, such as information that can easily be captured and categorized in a table. However, unstructured data, accounting for around 80% of the world's data, is not so easily managed. Many companies are struggling with making sense of the massive scale of data they have. In the big data era, how can we tackle the conundrum of meaningful data analysis?
In the new episode of That Digital Show, Frank Liu, AI Tech Lead at Zilliz, explains how AI and machine learning are making it possible for developers to understand and extract more value from unstructured data. This episode is hosted by Jay Jenkins, Tech Strategist and Evangelist at JAPAC - Google Cloud, and Theo Davies, Head of Cloud Sales Enablement at JAPAC - Google Cloud.
Below are some questions discussed in the conversation and their corresponding timestamps. To hear the answers, listen to the whole episode titled "Using Al to Supercharge Data-Driven Applications with Zilliz".
Where does the name Zilliz come from and what does Zilliz do? (04:00)
What are some challenges that make data operational? (07:43)
How have databases evolved to tackle the challenges that volume and complexity pose in meaningful data analysis? (09:00)
What are vector databases and how do they differ from traditional databases? (09:50)
How can vector databases help companies? (11:50)
Could you share some interesting use cases using Milvus? (13:54)
Why Milvus is open-source and free? (15:18)
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
Milvus 2.6.x Now Generally Available on Zilliz Cloud, Making Vector Search Faster, Smarter, and More Cost-Efficient for Production AI
Milvus 2.6.x is now GA on Zilliz Cloud, delivering faster vector search, smarter hybrid queries, and lower costs for production RAG and AI applications.
Will Amazon S3 Vectors Kill Vector Databases—or Save Them?
AWS S3 Vectors aims for 90% cost savings for vector storage. But will it kill vectordbs like Milvus? A deep dive into costs, limits, and the future of tiered storage.
Cosmos World Foundation Model Platform for Physical AI
NVIDIA’s Cosmos platform pioneers GenAI for physical applications by enabling safe digital twin training to overcome data and safety challenges in physical AI modeling.