# OME-Zarr Ambassador Toolkit
This section aims to provide all the resources needed to give talks about OME-Zarr for a varied range of audiences. 

## Slides
* [Ambassador Toolkit slides](https://zenodo.org/records/17609551). A collection of 100+ slides on OME-Zarr under CC-BY license that can be used to assemble presentations.


## Talking points

1. Performance
    - Parallel reads/writes
    - benchmarking on paper against OME-Tiff/HDF5
    - lazy loading: data is only transferred/loaded when needed by default

2. Suited to current research data
    - multidimensional by nature, just like imaging data is
    - URL-addressable: easy to share and access from anywhere
    - multi-scale: allows operating over data at multiple different resolution levels

3. Cloud-friendliness
    - optimized for high latency/high bandwidth
    - object storage-friendly
    - great at streaming data; never download a whole dataset to view a part of it again!

4. Community-developed
    - developed from the ground up to address modern infrastructure issues
    - wide adoption thanks to community consensus building
    - large community of developers and users
    - consistent metadata

5. AI-ready
    - well-suited to large parallel workflows
    - chunked format works well with ML workflows
    - object storage focus fits modern processing tasks


## FAQs

See [the FAQ section](../../help-desk/index.md#faqs).