E-Books →Machine Learning at Enterprise Scale

For each problem, you'll get hard-earned advice from Hussein Mehanna, AI engineering director for Google Cloud; Nakul Arora, VP of product management and marketing at Infosys; Patrick Hall, senior director for data science products at H2O; Matt Harrison, consultant and corporate trainer at MetaSnake; Joao Natali, data science director at Neustar; and Jerry Overton, data scientist and technology fellow at DXC.
Accomplished data scientist Piero Cinquegrana and Matheen Raza of Qubole examine ways to overcome challenges that include
Reconciling disparate interfaces
Resolving environment dependencies
Ensuring close collaboration among all ML stakeholders
Building or renting adequate ML infrastructure
Meeting the scalability needs of your application
Enabling smooth deployment of ML projects