Hot off the press! Simon and Gavi will walk you through the latest and greatest from Databricks, including shiny new AI features and platform updates you’ll want to try ASAP.

We'll explore how the AI hype cycle has created a tendency to reach for complex solutions where simpler ones would work better. Drawing from real-world deployment experiences, this talk examines the common practice of deploying AI agents and LLMs when a pseudorandom number generator or basic rule engine would be more appropriate and maintainable. We'll consider how this "AI-first" approach often leads to unnecessary complexity and systems that are harder to debug and maintain. The difference between experienced engineers and newcomers isn't knowing how to build sophisticated AI systems—it's knowing when not to build them. We'll look at practical approaches to technology selection, where complexity is driven by actual requirements rather than trends. The talk will demonstrate how to identify the right point on the spectrum from simple randomization to advanced neural networks, examining the trade-offs between over-engineering and under-engineering. These concepts will be illustrated through a basic insurance system analysis, showing how different architectural decisions performed in practice and what we learned from both successful and failed approaches.

This presentation will explore the multifaceted impact of AI on human critical thinking, examining its effects on education, professional fields like programming, and our social and psychological well-being.

Offers strategies for preparing people, processes, and governance to adopt GenAI-enabled DevOps at scale.

Approaches to integrate AI to improve security, compliance, and reliability in DevOps pipelines.

Discusses how AI can enhance security, compliance, and reliability in AWS-based DevOps environments.

Outlines the technical foundations and key components required to implement smarter automation across DevOps pipelines.

See what's possible when intelligence meets infrastructure.

Pulumi is the Infrastructure as Code platform that boosts your team’s capacity using familiar programming languages, helping you ship faster, scale confidently, and enable secure developer self-service. Built on 8+ years of infrastructure intelligence, Pulumi combines proven expertise with AI that works at your pace, under your control.

Pulumi is the Infrastructure as Code platform that boosts your team's capacity using familiar programming languages, helping you ship faster, scale confidently, and enable secure developer self-service. Built on 8+ years of infrastructure intelligence, Pulumi combines proven expertise with AI that works at your pace, under your control.

Dr. Christelle Scharff, Professor of Computer Science at Pace University & Serial Entrepreneur - A U.S. Fulbright scholar with a Ph.D. in Symbolic AI, Dr. Scharff has been awarded grants from NSF, IBM, Microsoft, and Google. Peta-Gay Clarke, Strategy & Operations Executive and Global Programs Leader, Pace University - A former Google.org Global Programs Lead who directed a multi-million dollar portfolio of education and AI initiatives that reached over 150,000 women and youth.

A discussion with leaders from fashion, finance, and technology on the practical application and future of trustworthy AI.

Nos organisations sont submergées par une quantité croissante d’informations à traiter, de plus en plus rapidement. Résultat : les experts s’épuisent à vouloir prendre des décisions claires dans un environnement bruyant et complexe. Aujourd’hui, on oscille entre deux extrêmes : l’analyse humaine, trop lente ; l’IA, souvent déconnectée du contexte réel. Le vrai problème n’est pas l’humain ou la machine, mais l’interface entre les deux. Cette présentation de 10 minutes introduit un nouveau cadre de travail : l’Orchestration Agentique LEAN. L’idée ? L’humain pilote une équipe d’agents IA spécialisés. Chaque agent fait une tâche précise : analyser des données, proposer des actions, structurer des idées. Cette session vous donnera les clés pour repenser la collaboration homme-IA, non plus comme une simple assistance, mais comme une véritable co-création cognitive. À travers un exemple concret, vous verrez comment ce modèle permet de transformer plus facilement des idées complexes en décisions claires. Ce n’est pas de la science-fiction, c’est une méthode pragmatique pour booster l’innovation dans vos équipes.

Live demos and best practices session showcasing capabilities related to Data Agents, Copilot Studio, and associated data workflows.

A session exploring how Microsoft Copilot Studio enables Data Agents to automate analytics tasks and deliver real-time insights using Microsoft Fabric and Copilot Studio within data workflows.

Strategies for Building Resilient Software in a Complex Ecosystem In an era where software development is accelerating rapidly, Veracode's latest research reveals a concerning trend: 50% of organisations are burdened by critical security debt, with 70% of these vulnerabilities originating from third-party code and the software supply chain. The average time to fix security flaws has increased to 8.5 months, marking a 47% rise over the past five years. This session will delve into the key findings of the State of Software Security report, offering a comprehensive understanding of the current landscape. Amanda will explore the five critical metrics identified by Veracode that benchmark security maturity and what defines a ‘leading’ or ‘lagging’ organisations. Attendees will gain insights into: - The impact of third-party code on security debt and strategies to mitigate associated risks. - The importance of remediation speed, with fast-acting teams reducing critical security debt by up to 75%. - The role of AI in enhancing remediation efforts and addressing the backlog of security debt. - Practical recommendations for improving security posture, including enhancing visibility across the software development lifecycle and prioritising vulnerabilities effectively.

Learn the magic of generative networks and Language Models. Using AI in everyday tasks.

Learn the magic of generative networks and Language Models. Using AI in everyday tasks.

Creating the synopsis of our story. Turning a story into a game.

Features of image generation. Creating a location. Character creation.