Speaking Topics

Recent Talk | June 2026

From Models to Decisions: Agentic AI for Marketing Mix Optimization

Spoke at the Atlantic AI Summit 2026 on moving from models to decisions: how agentic AI systems optimize the marketing mix and turn model outputs into trusted, operational business decisions.

Hosted by the University of New Brunswick under the theme "Accelerating AI Adoption in Atlantic Canada," the summit connected regional organizations with national and international AI leaders across healthcare, energy, cybersecurity, and the public sector.

Recent Talk | March 25, 2026

How Sobeys uses Databricks for MLOps and Personalization in Marketing

A practitioner talk on how Sobeys uses Databricks for MLOps and customer personalization across its marketing programs: what is working, and what is not, when teams are driving real business outcomes at scale.

Presented as part of the first Databricks Toronto User Group Meetup of 2026, which ran from 5-9 PM ET and brought together speakers from Paystone, the Ontario Securities Commission, and Sobeys.

Featured Archive | February 2020

My Journey as a Data Scientist: Using AI, Machine Learning, and Big Data to Solve Problems in the Retail Industry

A career-focused talk on using AI, machine learning, and big data to solve real retail problems, drawing a line from technical work to business outcomes.

Presented for a university audience as a practical look at how data science work translates into applied decision-making in the retail industry.

2013

Tavasoli, A., Archer, N. P.: Automatic message triage: A decision support system for patient-provider messages, Americas Conference on Information Systems 2013, McMaster University: Hamilton, ON. This paper uses text mining to triage text messages exchanged between patients and their physician.

2009

Tavasoli, A., Archer, N. P.: A Proposed Intelligent Policy-Based Interface for a Mobile eHealth Environment, Innovation in an Open World. G. Babin, P. Kropf and M. Weiss, Springer Berlin Heidelberg. 26: 246-251. This paper presented at MCETECH 2009, and it is focused on an adaptable interface for novice users in mobile devices.

2009

Presentation of eHealth Integration System using HL7 v3, IBM CASCON Technology Showcase November 2009. Proposed a service-oriented architecture to translate XMLs generated using two health standards.

Scaling AI and Machine Learning in the Enterprise

A practical discussion on how organizations can move from isolated ML experiments to scalable, production-grade AI systems. This talk focuses on architecture, automation, and operational discipline required to support high-volume use cases across multiple channels.

Themes include platform design, MLOps and reliability, cost control, experimentation at scale, and turning data science into a repeatable delivery engine rather than a collection of projects.

From Prediction to Impact: Operationalizing AI for Real Business Outcomes

Many organizations build strong models but struggle to translate predictions into measurable outcomes. This session explores how to design decision frameworks and automated processes that connect models to execution.

Topics include decision layers, integration with business workflows, experimentation design, measurement rigor, and closing the loop between analytics and action.

Leading AI Adoption: Organizational Change, Governance, and Responsible Use

Adopting AI, especially more autonomous or agentic systems, requires more than technical capability. This talk focuses on leadership, governance, and organizational alignment needed to introduce AI responsibly.

Key themes include change management, cross-functional trust, ethical considerations, customer impact, risk mitigation, and building accountability into AI systems from the start.