Big Data and Machine Learning

Starting the Journey of Predictive Analytics in Manufacturing

If manufacturers can unlock their data potential, they could achieve up to:
50% lower product development cost
25% lower operating cost
30% gross margin increase
Source: McKinsey Global Institute Analysis

The Journey Towards Industry 4.0

The convergence of widespread deployment of low-cost sensors, cloud services and greater computing power has brought together a multitude of connected devices which can monitor, collect, exchange, analyze and deliver insight like never before. The Industrial Internet of Things (or Industry 4.0) is transforming the industry, especially within manufacturing where many organizations are making investments into ‘smart manufacturing’ and machine learning tools in order to realise significant business benefits, including increased efficiency, improved quality and reduction of unplanned downtime. During a recent webinar we ran on Big Data and Machine Learning, we asked our audience how ready their organisations were to handle data management and algorithm processing.

Read the full blog post.


Watch the webinar recording

Watch the webinar recording and discover why and how to use predictive analysis to harness, analyze and translate data into actionable change with a practical example in manufacturing using SPM Salford Predictive Modeler.

Learn how Minitab’s Salford Predictive Modeler can unlock the value of your data, and enable you to maximise the potential of Industry 4.0. The highly accurate and ultra-fast engines of  CART®, MARS®, TreeNet® and Random Forests® will help you to make better decisions faster.

Our team of in-house consulting experts can help you take advantage of Machine Learning Tools.

We can help you harness the power of your data and transform it into insights you can act on.

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