Shiv Trisal

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Artificial Intelligence in manufacturing

Dec 4, 2024 | databricks.com | Josh Howard |Shiv Trisal |Caitlin Gordon

In recent years, artificial intelligence has transformed from an aspirational technology to a driver of manufacturing innovation and efficiency. Understanding both the current landscape and future potential of AI in manufacturing has become essential for strategic decision-making. Recent research shows the manufacturing sector generates over 1,800 petabytes of data annually—more than any other industry—creating both opportunities and challenges for AI implementation.
Xcel Energy: Developing a RAG-based Chatbot on Databricks

Nov 25, 2024 | databricks.com | Shiv Trisal |Caitlin Gordon |Akhil Gupta |Oliver Chiu

"We are delving deeper into the capabilities of MLFlow tracing. This functionality will be instrumental in diagnosing performance issues and enhancing the quality of responses from our Customer Call Support chatbot. Additionally, we are working on several exciting projects, including establishing a feedback loop for our wildfire LLM and implementing more agent-based RAG initiatives.
Supply Chain Disruption and ESG Risk Management Powered by Bloomberg Data in the Databricks Lakehouse Platform

Nov 8, 2023 | databricks.com | Caitlin Gordon |Shiv Trisal |Michael Tam

This blog is the first of a series of blog posts highlighting industry-leading data providers on Databricks Marketplace. Special thanks to our Bloomberg collaborators, Michael, Maris and Don, for their support throughout this journey and their contributions to this blog. Supply chain resiliency is becoming increasingly important to corporations. Procurement managers must maintain transparent oversight across the entire supply chain network and be aware of potential risks.
The Great Unlock: Large Language Models in Manufacturing

May 30, 2023 | databricks.com | Sam Steiny |Shiv Trisal |Ashley Johnson

The manufacturing industry is constantly finding new ways to increase automation, gain operational visibility and accelerate product and technology development. This requires companies to always stay at the forefront of deep technological advances. One of the more recent technological advances we see arising in the manufacturing industry is the use of Generative AI, particularly Large Language Models (LLMs).