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Driving Innovation with Speech-based Conversational AI

LBBW is calling on AI experts to develop a proof of concept showcasing that speech-based conversational AI can enhance verbal communication in complex B2B environments. Starting with real estate financing, help us explore how AI-driven spoken dialogue systems can streamline decision-making and stakeholder interactions. Successful participants will gain access to co-creation opportunities, research collaborations, or long-term partnerships with LBBW. 

Who can take part 
Open to researchers, AI specialists, startups, tech companies and all other innovators who are focused on NLP, LLMs, conversational AI, or the digital transformation of financial services. 

  • 🏆  Rewards
    Business Partnership, Research Collaboration and Career opportunities
  • 🕑  Deadline
    Feb 4, 2025, 10:59:00 PM
  • 🇪🇺 Scope

    European Union

  • ❓Questions

    Feel free to join our Q&A Calls

  • 👥 Looking for a team?
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Intro

As conversational AI rapidly evolves, LBBW is looking to push the practical applications of AI by advancing Natural Language Processing (NLP) and Large Language Models (LLMs) beyond traditional text-based to real-time spoken dialogue interactions.

The focus is on evaluating how speech-based conversational AI can navigate complex B2B environments. With an initial use case in real estate financing, LBBW aims to explore how these cutting-edge models can transform spoken communication between banks, developers, and investors.

The goal

LBBW's primary goal with this challenge is to develop a proof of concept demonstrating that AI can effectively support verbal communication in complex B2B situations. This could be achieved by providing real-time insights and support to advisors during conversations or by enabling direct, intelligent AI-based dialogues with stakeholders.

Your task

Your challenge is to develop a conceptual framework for how these models can be used to enhance spoken dialogue in complex, multi-stakeholder scenarios based on the example of real estate financing:

  • Assess NLP/ LLM models: Review and analyze the capabilities of various NLP models for spoken dialogue in high-stakes environments.
  • Develop a model concept: Choose a relevant scenario (e.g., initial consultation or financing options) and design an NLP/LLM concept that can handle intricate communication needs between banks, developers, and investors and is based on spoken language.
  • Showcase the feasibility: Provide a first concept that demonstrates how your system can be implemented. This could include a low-fidelity prototype that outlines the chosen scenario and demonstrates how the proposed AI model would function.

Both the optimization of existing NLP/LLM technologies and the proposal of novel LLM models are encouraged, giving you flexibility in how to approach the concept.

Important: The focus of the first phase is not on delivering a final product, but on demonstrating the feasibility of applying AI-driven dialogue systems to enhance communication in international real estate financing.

Who LBBW is looking for

LBBW is seeking researchers, AI experts, startups, tech companies and all other innovators with expertise in natural language processing (NLP), Large Language Models (LLMs), and conversational AI. The ideal participants will be capable of developing and proposing proof-of-concept approaches demonstrating that spoken dialogue models can effectively support complex B2B communication.

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