Joey Zwicker

Founder @ Pachyderm.

[NVIDIA AI @NVIDIAAI]

Learn how HPE and NVIDIA are collaborating to offer customers a complete, end-to-end AI software stack. https://t.co/NDYi7fouhL

[ixpantia @ixpantia]

Our @pachyderminc t-shirts made a very long trip and were then held up by a Pandemic. But after a little over 2 years we were finally able to distribute them in our team. Many thanks to our friends at Pachyderm! Time does not diminish the fact that these are very cool t-shirts.

[Mark Tenenholtz @marktenenholtz]

Good data teams force rigorous structure onto their data.

Great data teams embrace unstructured data.

[Joey Zwicker @jazwicker]

@copyconstruct The AI Infrastructure Alliance @AiInfra led by @Dan_Jeffries1 is trying to accelerate the space to better standardize, exactly as you're asking for by bringing together interoperability between leading tools. (Disclaimer: I'm on the Board of Directors)

[Joey Zwicker @jazwicker]

@copyconstruct It's such a massively complicated space and diverse problem statement depending on what kind of ML/AI you're doing, what kind of data you have, etc-- that IMO, it'll be years before it congeals into any sort of a standard or commoditized stack.

[Antonio Meneres @antoniomeneres]

Watch Hendrik Vincent Koops, Senior Data Scientist, talk about the Video AI platform at RTL.

Hendrik covers two use-cases, automatic thumbnail picking & automatic ad break marking.

Powered by @pachyderminc ❤️

https://t.co/QZZJPdmksh

[AgBiome @agbiome]

Nice case study from @pachydermIO: AgBiome Uses Pachyderm to Streamline Genomic Data Science -https://t.co/hWnDW1D4Sp

[Jason D. Rowley @Jason_Rowley]

Now up on @crunchbasenews, Last Week In Venture: The Point Of Sales, AI Vector Makers, And A Different Kind Of “SaaS”

Featuring deals closed by the likes of @pachydermIO, @logojoyapp, @for___days, @ParkWhiz, and @gas_posAL, among others. Check it out.

https://t.co/JcX4DUmHtM

[Leo Polovets @lpolovets]

I'm so happy for @jazwicker and @jdoliner on their Series A from @benchmark! @pachydermIO makes working with data and data science pipelines much easier and more repeatable -- a big pain point that I felt firsthand at my last few sw eng jobs. https://t.co/ANCxMv4VTa