Thought Leadership

2019 Predictions for Machine Learning

2019 Predictions for Machine Learning

December 18, 2018

Manufacturers are adept in gathering data from their operations, but don’t always know how to make the best use of the data collected.  Data science automation can provide the needed guidance.

Dr. Ryohei Fujimaki, CEO and founder, of dotData, joins us to predict how machine learning will change data science over the next year.  Read the full article “2019 Predictions for Machine Learning” on Manufacturing.net for Ryohei’s five (5) predictions for machine learning.

dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.

dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.

Recent Posts

dotData Insight: Melding the Power of AI-Driven Insight Discovery & Generative AI

Introduction Today, we announced the launch of dotData Insight, a new platform that leverages an…

11 months ago

Boost Time-Series Modeling with Effective Temporal Feature Engineering – Part 3

Introduction Time-series modeling is a statistical technique used to analyze and predict the patterns and…

1 year ago

Practical Guide for Feature Engineering of Time Series Data

Introduction Time series modeling is one of the most impactful machine learning use cases with…

1 year ago

Maintain Model Robustness: Strategies to Combat Feature Drift in Machine Learning

Introduction Building robust and reliable models in machine learning is of utmost importance for assured…

1 year ago

The Hard Truth about Manual Feature Engineering

The past decade has seen rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML)…

1 year ago

Feature Factory: A Paradigm Shift for Enterprise Data

The world of enterprise data applications such as Business Intelligence (BI), Machine Learning (ML), and…

2 years ago