🎙️ 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.

Warith Harchaoui

AI in All Its Forms

AI spans a wide spectrum of innovations—each domain tailored to a specific audience:




AI in Products, Tools, Teams, Entertainment, Art, and Public Life

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

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

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

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

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

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

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

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

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

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

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

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