Jennifer Prendki

VP of Machine Learning

Jennifer is currently the VP of Machine Learning at Figure Eight, the Human-in-the-Loop AI category leader. She has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams, and is known for enjoying a good challenge. Trained as a particle physicist, she likes to use her analytical mind not only when building complex models, but also as part of her leadership philosophy. She is pragmatic yet detail-oriented. Jennifer also takes great pleasure in addressing both technical and non-technical audiences at conferences and seminars, and is passionate about attracting more women to careers in STEM.

Jennifer Prendki

's contributions
    • The IoT enables massive amounts of data needed for new machine learning applications, but how do you navigate this tremendous amount of actionable data? Here are a few items to keep in mind as you develop a training set for your next smart IoT application.

    • Transfer learning is critical to the successful deployment of IoT deep learning applications that require complex machine-generated information of such volume and velocity that it would be simply impossible to ever find enough human experts to label it and train new models from scratch in a reasonable amount of time.