Aditya Sriram
Director of AI Strategy; AI product and research leader
Toronto, Canada
Summary
Applied medical imaging research: trained as a machine learning researcher focused on histopathology and medical image retrieval, contributing to peer-reviewed work and lab research at the KIMIA Lab. acm+2
Enterprise AI practitioner and architect: has held multiple roles building and operationalizing AI within enterprise analytics platforms and data products (Information Builders, TIBCO), focusing on embedding AI into BI, data preparation, and analytics workflows. channelbuzz+2
Startup and product AI leadership: transitioned into startup and product leadership roles (AppSteer, Tellmore.ai) and held Chief AI/CTO positions to integrate AI into product offerings and no-code/low-code platforms. tracxn+1
Public-facing thought leader and communicator on AI adoption: writes and presents on practical AI adoption and product design (articles and webinars) to bridge research, product, and business audiences. thenextweb+2
Work
Education
Projects
Writing
For AI to succeed, ‘computer says no’ needs to die
January 1, 2020Article arguing that AI must move beyond rejection-style interactions to more collaborative, useful experiences; reflects on AI adoption and product design.
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
January 1, 2020Academic paper on methods for classifying and searching histopathology images, exploring feature representations and local intersections of projections for improved retrieval/classification.
Deep Barcodes for Fast Retrieval of Histopathology Scans
January 1, 2018Research (arXiv) addressing fast retrieval techniques for histopathology scans using deep-learning-based representations.