Data lakes are no longer anomalies. Consolidating all of an organization’s data—unstructured, semi-structured, and structured—into a single repository for integration, access, and analytics purposes is rapidly emerging as the preferred way to manage big data initiatives.
Richard Mallah, our Director of Advanced Analytics recently participated at the The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS), focused on machine learning and computational neuroscience. Richard was a panelist at the symposium higlighting The Societal Impacts of Machine Learning. This symposium aimed to turn the attention of Machine Learning researchers to the present and future consequences of their work, particularly in the areas of privacy, military robotics, employment, and liability.