IBM Jeev - Sustainability with Authencity and Purpose

Technology, sustainability, ESG, Asset Management, IBM, AI, Machine Learning, Cloud Computing

An automated & consolidated source of sustainability information to help investors, wealth managers & auditors make better informed decisions via one single platform empowered by AI.

Shout out to jaynaan, Francesco, Maria Paula, Samer & Shuba for collaborating on this project

  • ESG Investing
  • Sustainability & Technology
  • System Architecture
  • Product Pitch

An application that consumes data from ESG reports generated by the corporations, articles, and references from top agencies with trends and insights on Sustainability and other ESG information. Jeev runs it through its NLU based parser to make the data language agnostic and indexed. This data is then passed to the ML engine. This ML engine is trained on finance, compliance and ESG data domain and constantly runs to find out exciting insights to aid decision making. On top of this ML engine runs OpenScale so that we can trace back how a is arrived at. The data is only as good as it is available. And that is where Jeev shines. Jeev houses a smart assistant that sometimes knows what you need before you know.

“An automated & consolidated source of sustainability information to help investors, wealth managers & auditors make better informed decisions via one single platform empowered by AI.”

Here's the report that showcases our approach for IBM Jeev

Hope you enjoyed it. Please a leave a feedback with the contact form below.

  • Date:
    23.06.2022
  • Author:
    Francesco
    Maria Paula
    Jaynaan
    Rajat Kumar
    Samer
    Shuba
  • Category:
    Startup
    innovation
    Strategy
    ESG
    Sustainability
    AI
    Machine Learning

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