Steve Harris from Mindtech talks about the rise of AI Technology and synthetic data solutions
1. Tell us about yourself and your role at Mindtech
After working in the Software and Semiconductor industries for more than twenty years, I and the early founders of Mindtech – friends who I’d known for a long time – started to get curious. Would it be possible, we wondered, to develop and deliver AI applications as a “Neural Network platform” on a chip?
Fascinating though that thought was, we hit some unexpected roadblocks. Working with three lead customers, they each shared a huge amount of real-world visual data for us to train the networks. What we discovered when we looked at the data astounded me.
Firstly, the data across all three customers was very, very poor, and mostly completely unusable. That’s because it was either not the right data, or it was not in any way privacy compliant, with no data provenance. A big red flag.
Secondly, the small amount of data that was usable took an inordinate amount of time to properly annotate because the process depended on humans. Real humans, painstakingly picking out pixel after pixel, hour after hour, day after day. It just wasn’t scalable.
And finally, when we looked at acquiring more data from bigger platforms, we got a hard no. Those platforms, if they had good data, knew the value and there was no way they were going to share it.
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