🎙️ Conferences
This page presents a list of artificial intelligence (AI) talks given by Warith Harchaoui, Ph.D., in companies, at conferences, in schools and MBA programs, with their descriptions and outcomes.
AI in All Its Forms
AI spans a wide spectrum of innovations—each domain tailored to a specific audience:
- AI as a Science: applied mathematics scientists
- Enterprise AI: managers, executives, sales, technical staff
- AI with respect to Art, Ethics and Philosophy: society at large, citizens
AI in Products, Tools, Teams, Entertainment, Art, and Public Life
AI is everywhere. How do we measure it with common sense in our use cases: products, tools, management, health, entertainment, art and public life? If AI generates measurable value, how do we get customers to smile?
Outcome: Concrete frameworks and examples from idea to client's smile, set up dev- and citizen-centric AI toolchains around measurable client value
AI with respect to Art, Ethics and Philosophy
Enterprise AI
Where:
CTO InShape
Generative AI Unleashed: 3 Genies out of the Bottle
Three genies of generative AI: Writer genie, Programmer genie, and Artist genie. They are rewriting the rules of production both in tech and art
Outcome: Master the best-known AI tools that are most useful on a day-to-day basis
AI with respect to Art, Ethics and Philosophy
Enterprise AI
Where:
EMBA Rennes School of Business
Large Language Models: Theoretical Foundations and Best Practice in Enterprise
Unlock text tokenization and embeddings, master self-attention with Transformers, and implement responsible, high-impact LLM solutions for business.
Outcome: Solid grasp of LLM math (embeddings, attention) and hands-on best practices (fine-tuning, RAG, governance) for professional adoption.
AI as a Science
Where:
Société française de Statistiques - SFDS
Large Language Models: From Learning to Talk that Talk
Explore how Large Language Models (LLMs) help you reshape enterprise workflows — evolving from basic language understanding to powering context-aware, high-performance dialogue systems. From automating customer interactions to enhancing decision-making, LLMs enable scalable and intelligent communication across your most critical business operations
Outcome: Understanding LLM architectures and actionable guidance for deploying and fine-tuning conversational AI systems
Enterprise AI
Where:
EMBA Rennes School of Business
AI for Business: Creating Value Humans Can Understand
Explore how companies can translate advanced AI insights into clear, actionable strategies that drive real ROI and resonate with human stakeholders
Outcome: The right framework to map AI metrics to business KPIs and deliver stakeholder-ready insights that drive measurable value
Enterprise AI
Where:
:probabl., the scikit-learn company
EMBA Rennes School of Business
Paris Region Deep Tech Ecosystem
Agentic AI: The Dawn of Autonomous Decision-Making
Discover how AI agents are enabling companies to plan, execute, and adapt actions on the fly with a new level of abstraction and potential
Outcome: Design principles and evaluation metrics to safely design and deploy autonomous AI agents
Enterprise AI
Where:
EMBA Rennes School of Business
Recommender Systems: Personalizing the Customer Journey
Learn how recommendation engines harness user data to tailor experiences, boost engagement, and drive conversions across digital platforms
Outcome: Designing, evaluating, and optimizing recommendation systems to enhance personalization and engagement metrics
AI as a Science
Enterprise AI
Where:
:probabl., the scikit-learn company
EMBA Rennes School of Business
Les Mini Confs MLOPS by nibble
Taming Bias: Building Fair and Trustworthy AI
Address the ethical and technical challenges of bias in AI by implementing detection, mitigation, and ongoing monitoring strategies
Outcome: Practical toolkits for bias detection, mitigation frameworks, and best practices for maintaining fairness and transparency
AI with respect to Art, Ethics and Philosophy
Enterprise AI
Where:
:probabl., the scikit-learn company
Algolia
EMBA Rennes School of Business
La French Stack
Mines de Paris
AI Feasibility 101: Big Data Strategies and Small Data Hacks
Evaluate project feasibility by leveraging large-scale datasets where available
Outcome: Assessing AI project feasibility, need for Open Source reusable toolboxes and relevant but rare cases in which R&D financing is required
Enterprise AI
Where:
EMBA Rennes School of Business
AI History: From Handcrafted to Agentic in 30 Years
Trace the shift from early rule-based, handcrafted systems to today’s autonomous AI agents capable of making independent decisions
Outcome: Key milestones and design principles shaping AI’s evolution toward autonomous agent architectures
AI as a Science
Enterprise AI
Where:
EMBA Rennes School of Business
AI Project Compass: Charting Your Path from Idea to Production
A step-by-step roadmap for guiding AI initiatives from initial concept through prototyping, validation, and full-scale deployment
Outcome: A reusable roadmap with milestones, deliverables, and risk mitigation strategies to drive AI projects to production success
Enterprise AI
Where:
:probabl., the scikit-learn company
EMBA Rennes School of Business