Overview of data privacy, safety considerations and best practices when using Generative AI tools.

A partir d'un retour d'expérience, je propose de vous présenter les principales préoccupations des architectes lors de l'adoption de la Generative AI à l'échelle de l'entreprise, les bonnes questions à se poser, et comment adresser un sujet qui, à première vue, semble très technique.

40 minutes + 5 mins questions. À travers des cas d'exemples (notamment des sites automatisés) et des retours concrets (RAG, plateformes...) qu'avons-nous appris quant à la réalisation d'un projet utilisant de l'IA générative ? Comment ces outils d'IA génératives vont impacter nos métiers.... Même les plus créatifs !

Postel's Law states that we should be liberal in what we accept and conservative in what we send. When working with code generated from LLMs, embracing this principle is even more important. Join us as we explore the ways that Ruby's flexibility makes this possible, why I think Ruby is a sleeping giant in the future of LLM-generated code, and the key to unlocking generative AI's true power for software development.

Overview of getting started with Generative AI using Azure AI and OpenAI, available through the Founders Hub program credits.

Abstract: In the rapidly evolving landscape of AI, Large Language Models (LLMs) have outgrown their initial niche of powering chat bots. Today, we can use generative AI not only in enriching human-machine interactions but also in integrating sophisticated capabilities into business applications. This presentation will explore the nuanced process of customising LLMs for enterprise use, highlighting the importance of prompt engineering, in-context learning (ICL), and equipping the models with a diverse toolkit to ensure their responses are tuned to the application needs and to enable building reliable and responsible generative AI applications.

Abstract: Generative AI will open up many new opportunities to improve and evolve businesses and their processes. It will create new ways to interact with business applications, accelerate development, and accelerate the integration of smarter, more autonomous AI capabilities. To make this vision a reality, we have all embarked on an extensive learning journey. In this talk, I want to share some of our early learnings from infusing applications with LLM and give a glimpse of what we are working on.

In this episode, we are partnering with the AI Advisory team in Microsoft for Startups to explore a unique use case by a leading startup in the program: OneAI. OneAI unique approach to Enterprise AI is to curate and fine-tune the world's top AI capabilities and package them as APIs, empowering businesses to deploy tailored AI solutions in days. During this episode, we will explore how their teams in building AI solutions are designed to ensure consistent, predictable output, and alignment with the source documents, bolstering trust and enhancing business outcomes. We will also, share some product demos around building their AI Agent, optimizing both the tuning process and long-term performance in terms of cost, speed, and carbon footprint, all while emphasizing transparency and explainability.

40-minute live webinar covering AI and Generative AI definitions, applications in project management, AI project manager tools to maximize efficiency, and best practices for working with AI in project management.

What we learned building BeepGPT: An AI bot that reads your Slack so you don’t have to. Are you tired of seeing Gen AI demos of yet another chat bot? Are you looking for the interesting applications of this technology that’s supposed to change everything? Generative AI can do more than answer questions - it can understand what’s happening in the world in real-time, and use that understanding to creatively make our lives better. But to do so, Generative AI apps need access to real-time information, which has traditionally been difficult to deal with. Connecting AI to real-time data is the problem that the OSS Kakada project (which, in full disclosure, I co-created) aims to solve. To demonstrate how the right tools make this type of application easy, we built BeepGPT - an AI bot that reads your Slack so you don’t have to. In this presentation we’ll walk you through our process and share some of the lessons we learned along the way.

Grammarly’s team will share hands-on experience with Voice Composer, including a technical overview of Voice Composer, data, modeling, and engineering approaches, challenges encountered, and learnings for building and deploying generative AI products.

Keynote session on hybrid cloud, open source, and Generative AI innovations, featuring Chris Wright, CTO of Red Hat.

From the printing press to the robotic assembly line, each advancement in automation has improved our quality of life and freed up employees to do higher value work. The current generation of automation leverages AI to perform activities that can’t be performed at human scale, such as helping customer service calculate in real time the probability of customer churn or recommending a way to optimize AWS resources for performance and cost. The new generation of AI-driven automation will empower business teams to better engage customers and employees, as well as to optimize cost across the entire hybrid cloud environment. Join Madhu Kochar, VP of Product Development, to learn how breakthrough automation technologies leverage conversational AI, Kafka event streams, and AI-driven optimization to meet these challenges and empower the next generation of business and IT.

A keynote session exploring the role of developers in an era of generative AI, including enterprise use cases, IBM’s AI and data platform with AI Assistants, and demonstrations of AI capability from the perspective of enterprises.

Gen AI, LLMs, AI assistants and intelligent agents are powering next-generation customer experiences. But there is no AI without data. This session covers data platforms, governance, and cutting-edge vector search to enable enterprise AI.

Gen AI, LLMs, AI assistants and intelligent agents are powering next-generation customer experiences. But there is no AI without data. This session covers data platforms, governance, and cutting-edge vector search to enable enterprise AI.

In data science education, a major challenge is ensuring fair and consistent assessment grading while providing timely feedback to large numbers of students. The rising demand for quality education has increased the burden on educators to evaluate various types of assessments without overwhelming workloads. Generative AI (GenAI) has become valuable in creating tests, rubrics, and grading, but its full potential is limited by the lack of integration in popular Learning Management Systems (LMS) like Canvas and Moodle. SM Grader (www.smgrader.com) is a cloud-based platform that addresses this by offering GenAI-powered grading, supporting multiple assessment formats, and providing detailed feedback. Successfully trialled with over 2000 students, it integrates with LMS platforms, offers custom grading rubrics, and detects cheating, helping educators manage assessments more efficiently and fairly.

Convergence : Sécurité et IAST; Connecté : Dev toolchain, APM, Infra et Logs; Télémétrie nouvelle génération - OTEL; IA : New Relic Generative AI assistant

Hear from industry titans who are leveraging AI to drive unprecedented growth.