Many organizations increasingly want to use Machine Learning and Artificial Intelligence (ML & AI) to improve their decision-making.

Cloud Computing has fundamentally changed the economics of data usage and ushered in an era of new data ingestion and storage services that offer the ability to store more data, different forms of data, and data captured at different speeds – including near real time. There are also modern cloud-based tools and solutions that allow organizations to perform more advanced analytics and machine learning, in a more robust and scalable way, with greater accessibility and ease of use.

To realize the promise of these breakthroughs in advanced analytics, it is critical that organizations capture, store and model their data in a way that advances ML & AI. In this 30-minute recorded webinar, Thorogood Consultants John Miller and Lauren Potechin Lauren Potechin explore the modern landscape in terms of modern cloud-based platforms and their advantages over older ways of approaching data warehousing and storage, the new ML and AI services available through major cloud providers Microsoft Azure, Amazon Web Services and Google Cloud Platform, and how to design a platform that provides a foundation for machine learning and artificial intelligence.

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