Part of IBM Community - 118 groups

IBM Cloud Paris

Paris, FR

6,605 members · Public group

Organized by IBM Community and 4 others

What we’re about

Ce groupe s'adresse à toutes les personnes intéressées par le développement d'applications, les APIs, le cloud, le cognitif ou encore l'intelligence artificielle. Professionnels de l'informatique, entrepreneurs, étudiants ou simple curieux sont invités à nous rejoindre. Les Meetups peuvent prendre la forme d'une table ronde, d'une conférence ou encore de sessions de mise en pratique, ils seront animés par des professionnels IBM passionnés, des témoignages clients, des intégrateurs...

Les Meetup ont pour sujet commun la plateforme IBM Coud dont vous trouverez la description plus bas. Vous pouvez tester gratuitement la plateforme en créant un compte IBM Cloud Lite Account (https://www.ibm.com/cloud/lite-account) sur le site d'IBM Cloud (https://www.ibm.com/cloud/)

What is IBM Cloud ?

https://www.youtube.com/watch?v=oCIZybdR_Y8

IBM's innovative cloud computing platform combines platform as a service (PaaS) with infrastructure as a service (IaaS) and includes a rich catalog of cloud services that can be easily integrated with PaaS and IaaS to build business applications rapidly.

IBM Cloud (formerly Bluemix) has deployments that fit your needs whether you are a small business that plans to scale, or a large enterprise that requires additional isolation. You can develop in a cloud without borders, where you can connect your private services to the public IBM Cloud services available from IBM. You and your team can access the apps, services, and infrastructure in IBM Cloud and use existing data, systems, processes, PaaS tools, and IaaS tools. Developers can tap into the rapidly growing ecosystem of available services and runtime frameworks to build applications using polyglot programming approaches.

With IBM Cloud, you no longer have to make large investments in hardware to test out or run a new app. Instead, we manage it all for you and only charge for what you use. IBM Cloud provides public, dedicated (https://console.bluemix.net/docs/dedicated/index.html), and local (https://console.bluemix.net/docs/local/index.html) integrated deployment models.

You can take an idea from inception, to development sandbox, to a globally distributed production environment with compute and storage infrastructure, open source platform services and containers, and software services and tools from IBM, Watson, and more. Beyond the capabilities of the platform itself, IBM® Cloud also provides flexible deployment. Provision IBM® Cloud resources on-premises, in dedicated private cloud environments, or in the public cloud, and manage the resources from all three types of environments in a single dashboard.

All IBM cloud resources that are deployed in public and dedicated environments are hosted from your choice of IBM® Cloud Data Center locations around the world. IBM Cloud Data Centers provide regional redundancy, a global network backbone connecting all data centers and points of presence, and stringent security controls and reporting. Through IBM Cloud Data Centers, IBM can meet your most demanding expansion, security, compliance, and data residency needs.

IBM enables you to:

- Deploy high performance compute and storage infrastructure in secure IBM Cloud Data Centers around the world.

- Test and adopt a broad range of cloud services and capabilities from IBM, open source communities, and third-party developers.

- Connect to all of your legacy systems and apps from a single, scalable, cloud platform through private network and API capabilities.

- Spin up and turn down resources in real time as your business needs or workload demands change. Apps

Upcoming events (3)

See all

Network event
90 attendees from 109 groups hosting
Thu, May 15, 2025, 2:00 PM UTC[AI Alliance Materials] Discrete State-Space Diffusion and Flow Models
Link visible for attendees
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-5-15

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Many scientific tasks, such as protein engineering and small-molecule drug discovery, can be formulated as conditional generation problems over discrete spaces. This talk introduces a new approach that enables tractable classifier and classifier-free guidance on discrete state-space diffusion and flow models. I will demonstrate how this method can be applied for conditional generation tasks in protein sequence, small-molecule graph, and DNA sequence design.

Speaker
Hunter Nisanoff recently graduated from his PhD in Computational Biology from UC Berkeley where he was advised by Professor Jennifer Listgarten. His research focuses on machine learning methods for protein engineering. Prior to his PhD, Hunter worked at D. E. Shaw Research developing machine learning and simulation-based methods for small-molecule drug discovery.

Research publication
https://arxiv.org/abs/2406.01572

About the AI Alliance

The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
Network event
135 attendees from 111 groups hosting
Thu, May 15, 2025, 4:00 PM UTC[AI Alliance] Model and Agent Evaluation with Unitxt
Link visible for attendees
Description
Evaluating the performance of language models and AI agents can be challenging, especially across diverse tasks and domains. In this session, we'll introduce Unitxt, an open-source framework for unified text evaluation, and explore how it simplifies the process of benchmarking LLMs and agents using a standardized format.

We'll walk through the core ideas behind LLM evaluation—what to measure, how to measure it, and why it matters—and then dive into hands-on examples of evaluating LLMs for quality, reliability, safety and more, as well as evaluating multi-modalities and agentic tool invocation.
Whether you're just getting started with evaluation or looking for a powerful and flexible tool to streamline your workflows, this session will offer practical insights and code-based demos to help you get up and running.

Bring your questions, ideas, or examples—we’ll have time for discussion and Q&A at the end!

Speaker Bio
Elron Bandel (LinkedIn) works to redefine how language models are tested and used at scale. At IBM Research, he leads projects that enhance researchers' abilities to test and utilize language models at transformative scales. Elron co-authored IBM's standard evaluation platform for large language models and spearheads the development of Unitxt, an open-source Python library for AI performance assessment. His academic record supervised by Prof. Yoav Goldberg included work on developing AlephBERT and its innovative evaluation suite, and research into robust language model testing.

About the AI Alliance

The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
2 attendees from this group
Network event
227 attendees from 111 groups hosting
Thu, May 22, 2025, 4:00 PM UTC[AI Alliance] Knowledge Graphs for Enterprise AI
Link visible for attendees
Description
Proscenium is an emerging library of composable glue focused on enterprise AI applications. It prioritizes support for domains where the creation and use of structured data is critical. This talk will walk through the construction an application for the legal domain built with Proscenium that involves:

Document enrichment

Entity resolution

Knowledge Graph construction

Query handling

Chat integration

Finally, we'll cover the future roadmap and ways that you could contribute!

Speaker Bio
Adam Pingel (LinkedIn, GitHub) is IBM's Head of Open Tools and Applications for the AI Alliance. Adam has been fascinated by AI and chatbots since playing with Racter in the 80’s. But the “winters” were long and frequent. The stars aligned in 2015 when he became VPE at Ravel Law. Ravel was building AI-powered tools for the legal industry and was working with Harvard Law School on what is now known as the Caselaw Access Project. After an acquisition by LexisNexis in 2017, he moved his family to Raleigh (in 2019) to take the role of CTO of Global Platforms. In 2022 he joined IBM to work on domain-specific applications of generative AI. Adam holds an MS and BS in CS from UCLA and Stanford, respectively. When not at a keyboard, he enjoys spending time with his family.

About the AI Alliance

The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
4 attendees from this group