AI is changing our work and personal lives, offering unprecedented opportunities in almost every arena. However, many organizations risk undermining their AI-driven projects by neglecting the need to unify, protect, and improve their data from the outset. Join this session to see first-hand examples of how feeding different data sets into a custom Large Language Model (LLM) can impact outcomes and learn how to build your foundation of high-quality, fully governed data today.
talk-data.com
Z
Speaker
Zack Alami
2
talks
Enterprise Sales Lead - CluedIn
Zack Alami is an Enterprise Sales Lead at CluedIn, the Cloud-native Master Data Management Platform that brings data teams together enabling them to deliver the foundation of high-quality, trusted data. In his role, Zack works alongside clients in the UK and US to help them achieve their data-driven ambitions. With a strong commercial background in Big Data and Analytics, Zack has extensive experience across industries including financial services, banking, insurance, manufacturing, retail, healthcare and pharmaceuticals and the public sector. An accomplished speaker, Zack has addressed audiences worldwide to share best practices, learnings and the latest guidance on all things related to enterprise data.
Bio from: Big Data LDN 2024
Filter by Event / Source
Talks & appearances
2 activities · Newest first
The quality and usability of data determine the success of data-driven projects, and it has never been more critical to establish an operational pipeline of high-quality data that is both secure and accessible. Once distinct disciplines, Data Governance, Master Data Management, and Generative AI have converged to deliver data that is insight- and AI-ready in record time. Join our experts for practical examples and actionable advice you can use to get started.