Time-based metadata exploration
On Demand
Presented by:
Zorroa
Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.
Off the shelf algorithms are being used to accelerate ML development, but identifying and evaluating the predictions in hours-long video content is no easy task. To eliminate that manual task and accelerate development, Danny Tiesling, Zorroa’s Product Manager, demonstrates how their GUI-based workflow enables its user to pinpoint and compare Google Cloud, AWS, and Azure ML predictions in a matter of seconds.
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Zorroa
Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.