SouthTech AI & Data meetup

Welcome to the SouthTech AI & Data Collective, an exclusive meeting for data and AI professionals in Southern Israel. This gathering is designed to explore the latest advancements in data science, machine learning, and artificial intelligence, fostering a collaborative environment that promotes valuable networking and innovative discussions. Participants, whether seasoned experts or newcomers with a passion for the field, will find inspiration and knowledge aimed at enhancing collaboration within the AI and data community.

17:00 - 17:30 Gathering & Networking

17:30 -18:15 The Impact and Challenges of Data in AI: Understanding LLMs by Yair Nevet (Principal Engineer at LSports)

18:15 - 18:45 Harnessing Data+AI : Developing Intelligent AI Systems by Michael Krasnopolsky (Solutions Architect at Databricks)

18:45 - 19:00 Break & Networking

19:00 - 19:30 From Concept to Deployment: Creating Scalable AI Applications by Nir Shtein (CTO of Sherpa.io)

Session Highlights:

The Impact and Challenges of Data in AI: Understanding LLMs by Yair Nevet (Principal Engineer at LSports)

This presentation will delve into the transformative role of Large Language Models (LLMs) in AI interactions. The discussion will cover how LLMs are influenced by their training data, which can lead to outputs that may convey biases or societal trends. Attendees will learn about the probabilistic nature of LLMs, the evolution of their responses with changing data, and the implications these models have on reinforcing narratives and confronting biases in practical applications.

Harnessing Data+AI : Developing Intelligent AI Systems by Michael Krasnopolsky (Solutions Architect at Databricks)

The focus here will be on the impressive advancements in generative AI, along with the realities that many projects face in reaching production. The session will explore vital strategies for leveraging data and AI to effectively address business challenges. Key topics will include the necessity of data intelligence over general intelligence, the role of Data Intelligence Platforms in facilitating AI application development, and strategies for building robust AI systems that deliver substantial business value. Attendees will also witness a live demonstration showcasing the journey from prototype to deployment, revealing essential insights for executing AI projects successfully.

From Concept to Deployment: Creating Scalable AI Applications by Nir Shtein (CTO of Sherpa.io)

This talk will address the complexities involved in transforming a Proof of Concept (PoC) into a production-ready application. Key challenges will be discussed, such as modular design, maintainability, and managing unexpected model behaviors. The presentation will cover effective techniques for integrating LLMs into various systems, ensuring a balance between flexibility and stability, as well as strategies for validating LLM outputs to maintain accuracy. Attendees will gain practical insights for optimizing their AI applications, regardless of their starting point.