43 min
EP 06 - Tristan Rouillard - co-Founder at Hasty.ai - Your Competitive Advantage Comes From a Great Data Asset Data Driven
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- Teknologi
The Data Driven Podcast was joined by Tristan Rouillard, a co-Founder of Hasty.ai. Hasty.ai supports vision AI practitioners and their evolving needs by developing best-in-class vision AI tools that are supported by a community of machine learning engineers, data scientists, and software developers. (A shout out to the incredible Head of Operations at Hasty.ai, Lisa Wantig, for helping to make this possible.)
Some of the topics that Tristan and I discussed:
The genesis of the idea for Hasty came from the founders' own experiences
Manual image labeling and just how time-consuming that is
The idea was NOT to change the technology but to change the process
The necessity to bring the neural networks into the process earlier on
The importance of having a clean data set
With Hasty, one is not looking for mistakes in the dataset, but fixing the ones the neural network has found
There is no substitute for a ground-truth data set
When you are building a product, you are looking for ‘love’ and ‘wow’
Hasty is changing a process and that is the hardest thing to change
Bringing agile methodology to machine learning
How sometimes the biggest competition is the status quo
Taking domain-specific assets and leveraging them in a good way
Data ownership and one of Hasty’s USPs
It is likely that the training data is the differentiator, not the neural network
The nuance and complexity of image recognition is yet to be understood
The need for data documentation
Hasty is teaching machines how to identify and see the world the same way we do
Everybody that joins Hasty has to label a data asset
The quote from Alan Nichol, a co-Founder and the CTO of Rasa, came from this LinkedIn post.
The Data Driven Podcast was joined by Tristan Rouillard, a co-Founder of Hasty.ai. Hasty.ai supports vision AI practitioners and their evolving needs by developing best-in-class vision AI tools that are supported by a community of machine learning engineers, data scientists, and software developers. (A shout out to the incredible Head of Operations at Hasty.ai, Lisa Wantig, for helping to make this possible.)
Some of the topics that Tristan and I discussed:
The genesis of the idea for Hasty came from the founders' own experiences
Manual image labeling and just how time-consuming that is
The idea was NOT to change the technology but to change the process
The necessity to bring the neural networks into the process earlier on
The importance of having a clean data set
With Hasty, one is not looking for mistakes in the dataset, but fixing the ones the neural network has found
There is no substitute for a ground-truth data set
When you are building a product, you are looking for ‘love’ and ‘wow’
Hasty is changing a process and that is the hardest thing to change
Bringing agile methodology to machine learning
How sometimes the biggest competition is the status quo
Taking domain-specific assets and leveraging them in a good way
Data ownership and one of Hasty’s USPs
It is likely that the training data is the differentiator, not the neural network
The nuance and complexity of image recognition is yet to be understood
The need for data documentation
Hasty is teaching machines how to identify and see the world the same way we do
Everybody that joins Hasty has to label a data asset
The quote from Alan Nichol, a co-Founder and the CTO of Rasa, came from this LinkedIn post.
43 min