Top Data Leaders Brief Data-driven Risk Content for Fri.Jan 25, 2019

Architect Machine Learning with IoT

Paul DeBeasi

JANUARY 25, 2019

Developers with no data science experience are now able to integrate Machine Learning (ML) with IoT. As the number of IoT endpoints proliferate, the need for organizations to understand how to architect machine learning with IoT will grow rapidly. However, for this to occur, IoT architects and data scientists must overcome the challenge of having two very different disciplines collaborate closely to design an ML-powered IoT system.

IoT

IoT Machine Learning Deep Learning Data Science

Real-time Analytics: The Tool for Efficient Consumer Acquisition and Retention.

BizAcuity

JANUARY 25, 2019

Today, there is a vast ocean of data that is being amassed every minute, every day. The biggest challenge is what we make of that data and how fast. Real-time analytics is a practice that analyzes this data as and when it comes into the system. Analysts are continuously sifting through and studying this data in order to identify a pattern or identify important insights that help can help businesses make informed decisions.

Analytics

Analytics Machine Learning Sales Marketing

Data Leaders Brief

Fri.Jan 25, 2019

Architect Machine Learning with IoT

Real-time Analytics: The Tool for Efficient Consumer Acquisition and Retention.

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