Battlefields are anything but stagnant, and ML models can’t be either. For warfighters harnessing ML, this presents a problem: ML models must constantly be retrained through MLOps to adapt to shifting conditions. But most technology providers won’t disclose that ML models become obsolete quickly—almost as soon as they are released for use. The truth is ML models must have the ability to be retrained automatically, nearly constantly, and by any user.
Otherwise, warfighters do not have quick access to the level of critical situational awareness necessary to maintain dominance, and data scientists and DevOps teams must be taken off production to rebuild deteriorating models. Enter Hatteras, Octo’s MLOps solution to help arm the warfighter with the latest, most accurate situational awareness.