A centralized repository for presentation slides from MantisAI team talks and presentations.
This repository serves as a public archive of presentation slides from MantisAI team members. After giving talks at conferences, meetups, workshops, or other events, we upload the slides here so attendees and the broader community can access them.
We organize slides using a date-event naming convention:
YYYY/
└── YYYY-MM-event-name/
├── slides.pdf
├── README.md (optional)
└── resources/ (optional)
2024/
├── 2024-01-pydata-london/
│ ├── slides.pdf
│ └── README.md
├── 2024-03-ai-summit-berlin/
│ ├── slides.pdf
│ └── resources/
│ └── demo-notebook.ipynb
└── 2024-06-govtech-conference/
└── slides.pdf
2025/
└── 2025-02-data-science-expo/
├── slides.pdf
└── README.md
- Year folders:
YYYY/
(e.g.,2024/
,2025/
) - Event folders:
YYYY-MM-event-name/
(e.g.,2024-03-pydata-london/
) - Main slides: Always named
slides.pdf
- Optional files:
README.md
for event details, abstract, or additional contextresources/
folder for supplementary materials (notebooks, code, datasets)
- Create a new folder following the naming convention
- Upload your slides as
slides.pdf
- Optionally add a
README.md
with:- Event details (date, location, audience size)
- Talk title and abstract
- Key takeaways or follow-up resources
- Include any supplementary materials in a
resources/
folder
# AI for Climate Tech - Data Science Festival 2024
**Date:** March 15, 2024
**Location:** London, UK
**Speaker:** [Name]
**Audience:** ~200 data scientists and ML engineers
## Abstract
This talk explores how artificial intelligence and machine learning techniques are being applied to address climate change challenges...
## Key Resources
- [Demo repository](https://github.com/MantisAI/climate-demo)
- [Referenced paper](https://example.com/paper)
- [Dataset used](https://example.com/dataset)
For questions about presentations or speaking opportunities:
- Website: mantisnlp.com
- Email: hi@mantisnlp.com
MantisAI - AI consultancy specializing in Natural Language Processing and Machine Learning solutions.