Speaker "Jennifer Prendki" Details Back



One Smooth Stone: How to Beat Goliath with Quality Training Data


The total amount of data available to human beings currently doubles every 18-24 months, giving data scientists an unprecedented opportunity to push further than ever the boundaries of human knowledge. This is an exciting time for data professionals. Many are hopeful that these huge loads of data will enable data-greedy algorithms like deep neural networks to unlock a myriad of new possibilities for humankind. But can big data really answer all our questions? No matter how useful and powerful, in the wrong hands, data can also easily lead to ill-informed decisions and wrong assumptions. In her talk, Jennifer will cover the reasons why better algorithms matter just as much as the amount of data available, and will describe the dangers and perils that the data scientist of the future will need to thwart using increasingly advanced mathematical knowledge, refined strategies and human rationality.


Jennifer Prendki is currently the VP of Machine Learning at FIgure Eight, the essential human-in-the-loop AI platform for data science and machine learning teams. 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.