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Speaker "Anindita Mahapatra" Details Back

 

Topic

Balancing Innovation and Responsibility: Building Governed and Moderated GenAI Applications for Enterprise Use

Abstract

In the rapidly evolving landscape of generative AI, building applications that are both innovative and responsibly governed is essential for enterprise success. 
This talk explores strategies for implementing robust governance frameworks, ensuring alignment with ethical standards, and embedding moderation mechanisms to prevent misuse. 
Attendees will gain actionable insights into balancing creativity with compliance, enabling secure and scalable GenAI solutions. These guardrails can be automated with LLMs and fortified by human SMEs.
 
Who is this presentation for - Data Personas including Data engineers, Data Scientists & Business Analysts, Data stewards
Prerequisite knowledge: Basic data and ML awareness
What attendees will learn or gain - need for a well-governed platform to help you iterate faster on your GenAI initiatives 

Profile

Hello I'm Anindita! I work for ThinkBig, Teradata as a Big Data consultant where I work on a variety of industry verticals including financial, semi-conductor, gaming, biotech, etc. Exposure to an assortment of clients and use cases is not only exciting but also helps understand unique challenges of each industry. With the maturity of natural language processing and AI, bots will continue to get smarter and initially serve in 'assisting' roles. Websites are attempting to offer some form of bot capability. However the rate at which AI machines continue to increase their intelligence has some people worried about how soon the human worker will be replaced by an automated one !