Principles for Building Reliable Low-Code AI Systems

OFFICIAL EVENT IS POSTED HERE WITH MORE DETAILS - INCLUDING HYBRID DIGITAL EVENT LINK

Join us for an engaging session on 'Principles for Building Reliable Low-Code AI Systems,' where you will delve into the core strategies and methodologies for creating dependable AI applications with minimal coding efforts. Whether you're a seasoned developer or new to low-code platforms, this event is for all skill and knowledge levels.

You'll learn from Ishita Malhotra, a Data Strategy and Automation Manager, about the best practices for ensuring your low-code AI solutions are not only efficient but also robust and scalable.

This session is for anyone looking to leverage low-code environments to propel their AI initiatives forward or just learning! Don't miss out on this opportunity to expand your skills and network with fellow AI enthusiasts and Technologists.

Speaker Bio:
Ishita Malhotra is a business-focused data scientist working at the intersection of AI, analytics, and product decision-making. She specializes in applying machine learning, Natural Language Processing and AI approaches to real-world business problems, with an emphasis on reliability, evaluation, and responsible deployment. Her experience spans product analytics, experimentation, and LLM-based solutions that inform strategy and scale impact. Ishita actively contributes to the developer and data community through technical talks, knowledge sharing, and mentoring practitioners on building dependable, data-driven systems.