For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Data analytics and machine learning drive smarter business decisions ...

Figure 1: Four stages of traditional machine learning workflow [5], (a) preprocessing data, (b) identifying features, (c) developing a model and (d) evaluating results. In my personal opinion ...

The machine learning workflow — from data ingestion, feature engineering, and model selection to debugging, deployment, monitoring, and maintenance, along with all the steps in between — can ...

The Iguazio Data Science Platform for real-time machine learning applications automates and accelerates machine-learning workflow pipelines, helping businesses develop, deploy and manage AI ...

Startups including Carbon Lighthouse and Redaptive are using data collection and machine learning to make a building’s mechanical and electrical infrastructure use power more efficiently. Carbon ...

New considerations are necessary as more businesses adopt machine learning ... core workflow elements include the ML models, the documentation and systems around those models and the data they ...