Key roadblocks in data science
With little or no data
Because DS efforts are costly
Untrusted “blackbox” algorithms
H1st solves them by combining human and data intelligence
Industrial AI needs human insight
In so many important applications, there isn‘t enough data for ML. H1st combines human knowledge and any available data to enable intelligent systems, and companies can achieve earlier time-to-market.
Data scientists need human tools
Today‘s tools are to compete rather than to collaborate. H1st breaks a large modeling problem into smaller, easier parts. This allows true collaboration and high productivity, in ways similar to well-established software engineering methodology.
AI needs human trust
AI models can't be deployed when they lack user trust. AI increasingly face regulatory challenges. H1st supports model description and explanation at multiple layers, enabling transparent and trustworthy AI.