IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 companies rely on IBM technology consisting of infrastructure, cloud, data & AI, automation, and cybersecurity solutions. IBM has a strong focus on innovation and customer satisfaction and is committed to helping its clients navigate through the complexities of the digital age, fostering sustainable growth and competitive advantage by seamlessly integrating cutting-edge solutions with expert insights.
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- Christian Muszynski - @Christian Muszynski (IBM)
- Florian Lutz - @flux
- Christian Baltzer - @Lena Kohler (IBM)
- Lena Kohler - @Lena Kohler (IBM)
- Hazem Ben Sassi - @Hazem
- Maria Sánchez - @Maria Sánchez
- Michele Dolfi - @Michele Dolfi (IBM)
- Rene Meyer - @Rene Meyer
- Ingo Hinkel - @Ingo Hinkel
- Hendrik van Niekerk - @Hendrik van Niekerk
- IBM Cloud ressources
- Watsonx platform (with LLM capabilities)
- IBM Research Asset: Deep Search
IBM watsonx™ AI and data platform includes three core components and a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business. The core components include: a studio for new foundation models, generative AI and machine learning; a fit-for-purpose data store built on an open data lakehouse architecture; and a toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.
Digital.industry: AI Data Synthesis from Vast Document Realms Catalog and retrieve information from large set of unstructured documents.
As a working professional (of any domain), I want to retrieve specific information from a large number of unstructured company information/data sheets/ESG reports using natural language, without the risk of misrepresented data. So that I can make informed decisions quickly, based on large volumes of data.
Every organization is built on documents, from legal briefs, financial statements, and technical specifications, to research papers and slide decks. These documents are packed with valuable information, but their contents are often not easy to search because they’re in an unstructured format that can’t be accessed easily.
Let’s change that! Make information seamlessly discoverable with state-of-the-art AI methods.
Getting started: - Link to GitHub Page
Proposed tools:
- IBM Deep Search
- IBM watsonx.ai
Hack Partners / Coaches:
- IBM Research in Zurich - Michele Dolfi – Senior Technical Staff Member.
- IBM Client Engineering Team industrial
Context-aware passenger augmentation. Enhance the driving experience by including context-aware information.
As a driver, passenger, or commuter I want my vehicle to incorporate information about the surroundings and context to interact with me to have a more personal, interesting, and enjoyable experience on my journey.
Create a delightful experience: Use AI/LLM to generate game-show-style questions from Wikipedia information about the surroundings for in-car entertainment.
Getting started:
Hack Partners / Coaches:
- IBM Client Engineering – Hazem Ben Sassi (AI Engineer)
- IBM Client Engineering – Christian Baltzer (IT Specialist)
- IBM Client Engineering Team industrial