Navigating the maze of AI product development
abraarsyed (~abraarsyed) |
0
Description:
Abstract
This talk focuses on the unique challenges and insights gained from building multiple AI products in the domains of medicine, education, and finance.
Unlike traditional software development cycles, AI product development is inherently research-driven, making it stochastic and requiring a different approach to manage the uncertainties, inaccuracies, and user expectations. This talk will use the classic example of “Building a Chatbot” as a case study to provide practical pointers for identifying critical challenges, addressing unrealistic user expectations regarding AI accuracy, and demonstrating solutions to overcome these problems.
Attendees will leave with a clear roadmap for developing robust AI products.
Outline
- Deterministic Software Development Cycles vs. Stochastic AI Product Development Cycles
- AI System Accuracy vs. Human Accuracy vs. User Expectations
- How to Introduce AI to Your End Users? (Control Loops, Feedback Loops, and Human in the Loop)
- The Role of Data in the Pre/Post ChatGPT/GenAI Era
- Conclusion and Key Takeaways
Target Audience
- Software Engineers / Data Scientists / Researchers / Founders or anyone looking to build AI products
- AI product managers
Prerequisites:
- Interest in building AI products or AI product management
- Some exposure to software development or AI development cycles
Speaker Info:
Abraar Syed is a passionate techpreneur and software engineer whose expertise range across product development, software engineering, DevOps, AI/ML, IT consultancy, technology training and engineering management. Abraar is currently working as Head of Platform Engineering @ Dobin (Singapore based FinTech company). Previous to this role, he has worked as VP of Engineering for Noodle Factory (another Singapore based AI Company) and been a technical consultant in lead positions for many other companies across the Globe (Singapore, India, UK).
He has also delivered 100+ client-tailored corporate training programs to software engineers, data scientists, architects, team leads and managers from multiple startups, enterprises and large scale companies on cutting edge technologies through third party engagements.
Some of his IT Consultancy partners/clients: Mindscape (UK), CodeUntapped (UK), Jnaapti (India), RuleZero (India), JamFactory (Singapore), AI Singapore (NUS)
Some of his Corporate Training clients: Knowledge Hut, JP Morgan, Standard Chartered, ABB, Manipal Global, Ericsson
Speaker Links:
LinkedIn: https://www.linkedin.com/in/abraarsyed/
Github: https://github.com/abraarsyed
Twitter: https://twitter.com/iamabraarsyed