What is Enterprise Generative AI and Why Should You Care?

It seems like we are witnessing a new quantum leap of technological advancement, with Generative AI taking the world by storm earlier this year. Generative AI (GenAI) has emerged as a powerful tool that combines artificial intelligence with creativity, empowering machines to generate original content, such as images, music, and even text, that imitates human-like creativity from structured and unstructured data.

Snowflake Expands Programmability to Bolster Support for AI/ML and Streaming Pipeline Development

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. That’s why at our annual user conference, Snowflake Summit 2023, we unveiled new features that further extend data programmability in Snowflake for their language of choice, without having to compromise on governance.

Bring Gen AI & LLMs to Your Data

The potential of generative AI and large language models (LLMs) for enterprises is massive. We’ve talked about this opportunity before and at Summit 2023, we announced a number of capabilities that come together to help our customers bring generative AI and LLMs directly to their proprietary data, all delivered through a single, secure platform.

MLOps for Gen AI - MLOPs Live #23 - QuantumBlack AI by McKinsey

In this session, Yaron Haviv, CTO Iguazio was joined by Nayur Khan, Partner, QuantumBlack, AI by @McKinsey and Mara Pometti​, Associate Design Director, McKinsey & Company to discuss how enterprises can adopt GenAI now in live business applications. There was a very engaging Q&A session with many relatable questions asked.

Snowflake Native App Framework

The Snowflake Native Apps Framework revolutionizes the way apps are developed, distributed, and monetized. To illustrate its capabilities, we developed a Snowflake Native App utilizing the preferred tools of developers, and Snowflake first-class functionalities including Streamlit, Snowpark, and Telemetry. We then seamlessly distributed and monetized the app through the Snowflake Marketplace. Last, we demonstrated how consumers can discover, try, purchase and deploy the Snowflake Native App within their accounts, retaining full control of their data.