Global enterprises are under pressure to boost productivity, accelerate innovation and lower costs, all while managing complex technology landscapes. Multi-agent AI systems are essential to revolutionizing IT delivery and how industry leaders drive business value. In this session, hear from one of the world’s largest telcos on how they are partnering with Microsoft and IBM to deploy agentic AI to build more resilient and available IT systems that can accelerate innovation at scale.

The complexity of managing multi-cloud environments and thousands of resources—combined with limited visibility across distributed teams—is driving up costs, risks, and inefficiencies. Organizations need a solution that can forecast spend, streamline operations and uncover savings. In this session, experts share how Apptio on Azure empowers joint clients with real-time insights, AI-powered optimization, and financial transparency to maximize business value and unlock competitive advantage.

Phil Gilbert is a recognized leader in design, culture, and organizational transformation, known for driving innovation at IBM, co-chairing IBM's Global Women's Executive Council, and founding the Racial Equity in Design team; NYFA Hall of Fame inductee and Oklahoma Creativity Ambassador.

IBM keynote

Practical deployment strategies using Ansible and Kubernetes to bring Fabric-X solutions into production.

To close the session, we’ll walk through practical deployment strategies using Ansible and Kubernetes, equipping you with the tools and confidence to bring your Fabric-X solutions into production.

A session focusing on the endorsement phase of Fabric-X, comparing it to traditional Hyperledger Fabric, with hands-on examples showing how the new model streamlines development for tokenization use cases and on-chain asset transfer. The session will also cover practical deployment strategies using Ansible and Kubernetes.

A deep dive into the Fabric-X endorsement phase, highlighting how it differs from the traditional Hyperledger Fabric model. Through hands-on examples, we’ll demonstrate how the new model streamlines development for designing decentralized applications and tokenization use cases.

A session exploring the Fabric-X endorsement phase, how it differs from the traditional Hyperledger Fabric model, and implications for developers. We'll cover tokenization use cases, hands-on examples, and practical deployment strategies using Ansible and Kubernetes.

In this session, we’ll take a deep dive into the endorsement phase of Fabric-X, highlighting how it differs from the traditional Hyperledger Fabric model and what these changes mean for developers. Through hands-on examples, we’ll demonstrate how the new model streamlines development and unlocks exciting possibilities for designing decentralized applications. We’ll also explore how to build applications tailored for tokenization use cases.

Découvrez comment un centre de support a transformé son efficacité opérationnelle grâce à une solution innovante basée sur IBM watsonx. Ce retour d’expérience met en lumière l’intégration d’agents intelligents capables de :

  - Identifier automatiquement les tickets à traiter à partir d’un simple ID,

  - Rechercher les 5 cas les plus similaires déjà résolus,

  - Générer une synthèse de résolution probable à forte valeur ajoutée,

  - Assister le technicien en lui proposant une aide contextualisée et des cas similaires consultables.

Une démonstration concrète de l’impact de l’IA générative sur la productivité des équipes support, la réduction des temps de traitement et l’amélioration de la satisfaction client.

L’analyse de plans techniques de bâtiments, notamment dans le cadre de la conformité réglementaire, reste aujourd’hui un processus largement manuel, mobilisant des experts pour interpréter des documents complexes. Cette conférence propose un retour d’expérience sur un hackathon qui a exploré une nouvelle voie : combiner les forces de l’intelligence artificielle traditionnelle (machine learning) et des architectures multi-agents basées sur des modèles IA multi-modaux pour automatiser ce processus.

Dans un contexte de forte pression opérationnelle, l’administration française a su innover pour améliorer la qualité de service tout en optimisant ses ressources. Grâce à la plateforme d’IA développée par ATHENA Decision Systems – combinant LLM, moteur de règles et orchestration intelligente – le projet DELPHES permet de traiter plus rapidement et équitablement les demandes des usagers étrangers en préfecture.

Cette solution, fondée sur l’IA de confiance d’IBM, démontre comment l’automatisation responsable, sous supervision humaine, peut transformer des processus complexes, réduire les délais, améliorer la satisfaction client et limiter les coûts.

Un retour d’expérience concret, inspirant pour les organisations publiques comme privées, confrontées à des enjeux similaires de volume, de qualité de service et de conformité. Venez découvrir comment cette approche peut s’adapter à vos propres défis métiers.

Get ready for a high-energy, action-packed session that brings AI agents to life. Build and deploy a fully functional AI agent in minutes using IBM watsonx Orchestrate. Learn how to:
• Create a domain-specific agent in minutes.
• Explore our pre-built agents for Sales, Procurement, and HR, which integrate seamlessly with 80+ enterprise tools your teams already use.
• Manage multiple agents through a centralised chat interface, automating even the most complex workflows.
• Discover proven strategies to boost productivity and ROI without long development cycles or heavy IT demands.
Whether you’re starting out or scaling your automation, this session will inspire and equip you to build your own AI agents confidently.

Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

Keynotes & panels featuring industry leaders from Google, AWS, IBM, PayPal, Bank of America, Capital One, Visa, JPMorgan Chase, Hyatt Hotels Corporation, United Nations, Fireworks AI, WaveAI, EA, Dropbox, Ancestry, Oracle, LinkedIn, and more.

The rapid advances in generative AI are fueling great excitement. Within just a few years, one-third of generative AI interactions are expected to utilize autonomous agents, propelling a new wave of productivity for enterprises. However, this potential can only be realized if the challenges surrounding AI trustworthiness, inferencing costs, domain-specificity, and effective and secure leveraging of quality enterprise data can be overcome. Data and AI leaders require a practical approach to accelerate AI adoption. Discover actionable techniques to maximize the value of your data for AI, learn from real-world examples of data and AI driven innovation in defence and aerospace, and gain insights into fostering greater AI productivity across your teams with IBM watsonx.

Among organizations that have adopted generative AI, only 33% report implementing it into functional processes. To seize productivity gains from AI, enterprises need to get the most from their data, ensure governance, and make it easier to use. For many, that means better integration with the workforce tools already in use. Learn how companies are developing AI agents that act with greater autonomy and how they are scaling them across diverse environments to deliver impact. Discover how to manage your AI assistants and agents in a unified, adaptable experience that safeguards investments.

To scale generative AI and drive real value, enterprises need to get the most from their data. Business leaders must shift their focus to creating efficient, secure and scalable data foundations to train their AI. Given that 80% of enterprise data is unstructured, driving performant and accurate AI requires a strategy to unify structured and unstructured data as well as solutions to enable data access verification, integration and governance across disparate environments. Hear how leading organizations are successfully leveraging their data to fuel growth and trust across their business.

Closing the Responsible AI Talent Gap: Building AI Literacy, Training, and the Workforce of the Future?

Date: 2024-05-23. Practical demonstrations will showcase secure digital asset transfers using SATP within the Hyperledger Cacti environment. Participants will observe sample protocols in action and gain hands-on experience in executing cross-network asset transfers.

Date: 2024-05-23. The workshop will focus on the implementation of the SATP draft specifications within the Hyperledger Cacti framework.