Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.
The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications
June 18, 2020 by Leave a Comment
The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications
June 15, 2020 by Leave a Comment
Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.
The Lambda Architecture Simplified
August 31, 2016 by Leave a Comment
A Brief History of the Lambda Architecture – The surest sign you have invented something worthwhile is when several other people invent it too. That means the creative pressure that gave birth to the idea is more general than your particular situation. Even when faced with the same pressures, people will approach an idea in different ways. To learn more about Lamba Architecture download this white paper.
