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Jeremy Edberg

Speaker

Jeremy Edberg

2

talks

CEO DBOS

Jeremy is an angel investor and advisor for various incubators and startups. He was the founding Reliability Engineer for Netflix and before that, he ran ops for Reddit as its first engineering hire. Jeremy also tech-edited the highly acclaimed AWS for Dummies. He is a noted speaker in serverless computing, distributed computing, availability, rapid scaling, and cloud computing, and holds a Cognitive Science degree from UC Berkeley.

Bio from: Data Universe 2024

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We're moving into uncharted territories of emerging technologies, poised to revolutionize data science. In this panel discussion, we'll unravel the mysteries of the technological fringes and explore their imminent impact on mainstream adoption.

Our panel of experts will discuss a future where these technologies are ubiquitous, and how to prepare for the transformative shifts in daily life and industry. Let's peer beyond the horizon, contemplating the dawn of a new era in data science and beyond.

For at least a decade, we have established best practices for handling data and making sure it is delivered when needed and is correct. But with the explosion of LLMs and Transformer models, not all of those best practices apply anymore. In this talk, you will learn which best practices still make sense in this new Machine Learning world, and what new strategies you need to adopt to make sure that your LLMs can train properly and return inference in a reliable, timely and *accurate* manner.