Democratizing Machine Learning in the Enterprise

Machine learning has become one of the most common buzzwords in the modern enterprise software dictionary. The last few years have brought together an explosion in the number of technologies that are trying to enable data science in the enterprise. However, despite the significant technological advances, the implementation of Machine learning solutions remains incredibly challenging for most organizations. This session explores the patterns and techniques of real world enterprise Machine learning solutions. The session covers the fundamental building blocks of modern data science architectures such as batch and real time data processing, visualization, analysis, machine learning, data access, etc. To keep things practical, the session illustrates the platforms that provide the capabilities to implement data science solutions in today’s enterprise.