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Real Applications of Generative AI: Insights from Rakesh Puttaswamy of SingleStore

"SingleStore is revolutionizing data architecture by leveraging Generative AI and vectorization to enhance business operations and deliver tangible results," says Rakesh Puttaswamy, SVP at SingleStore.

In the rapidly evolving world of technology, the integration of Generative AI and data architecture is becoming increasingly important. This was the central theme of a recent talk given by Rakesh Puttaswamy, Senior Vice President at SingleStore, at MachineCon India 2023.

The Power of Generative AI

Puttaswamy began his talk by emphasizing the importance of Generative AI in today’s data-driven world. He highlighted how businesses need to go beyond the hype and understand how Generative AI can deliver tangible results and empower their operations.

SingleStore: A Unified Database for All Data Complexity

SingleStore is a general-purpose SQL relational distributed modern data system built for speed, scale, and agility. It is designed for data-intensive applications and can handle both OLTP and OLAP in a single platform. SingleStore is used by various Fortune 500 companies for their real-time distributed SQL data-intensive applications.

The Underlying Technology of SingleStore

SingleStore uses a data pipeline that connects to various heterogeneous data sources, providing real-time data streaming. It uses a multi-core processing technology for fast data ingestion. The data is written directly into memory, making streaming faster. The data then automatically flushes down to a second layer for transactional, analytic, and contextualization purposes.

The Key Product Capabilities of SingleStore

SingleStore offers several key product capabilities, including Universal Storage built for speed, fast data ingestion, and separation of compute and storage. It also recently released a MongoDB API compatible feature, called SingleStore Kai, which can run the same queries as MongoDB applications but with 100-2000x performance.

Contextualization with Generative AI

Puttaswamy highlighted the importance of contextualization in data architecture. SingleStore achieves this through vectorization, which integrates well with Generative AI. He mentioned the use of large language models (LLMs) like GPT-3.5 or GPT-4.0, which can write poems, essays, summarize large documents, reason, translate, and even write code.

Conclusion

In conclusion, Puttaswamy’s talk provided valuable insights into how SingleStore is leveraging Generative AI and data architecture to enhance business operations. By focusing on areas like vectorization and contextualization, SingleStore is ensuring it offers a seamless and efficient data architecture solution to its customers. As we move into the future, this approach will be crucial in harnessing the full potential of Generative AI in data architecture.

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