This presentation will explain the basic limitations of deep learning-based methods and corrective measures that might help improve the outcome of any ML-based solution. The benefits of manual review and offline/batch training will be discussed. Attendees will gain a better understanding of the inherent limitations of the ML methods to use the technology more effectively.
Human Decision Making: When Do We Use Confidence Levels?Confidence levels can be used anytime one is estimating or predicting something. Examples include: business, engineering, medicine, technology…or just day-to-day life. As humans we use confidence levels regularly. Whether you decide to dodge an aisle at the grocery store because you thought you saw your chatty neighbor, or using evidence and intuition to convict a suspected criminal during jury duty, your mind is in a constant state of perceiving its surroundings. It makes decisions based on those perceptions via an inherent estimate of confidence.
Today’s entertainment industry technology vendors are reeling off jargon like “AI”, “machine learning”, and “deep learning”, touting the benefits these technologies promise. It can be difficult for video service providers decision makers to discern between the future promise of AI and what is truly feasible and effective today. In this white-paper you will learn what AI can really do for your video business TODAY! , not in the future.