Rearview Business Intelligence misleads strategy for most of today’s enterprises
· Predictive Analytics

Rearview Business Intelligence misleads strategy for most of today’s enterprises

Businesses are quickly joining the big data revolution. The outcome is a collection of massive efforts to collect and condition enterprise data that represents the last month, the previous quarter, or past years. Then, they crunch the big data into a digestible view that makes some predictions about the future. We now know this practice […]

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Advanced Predictive Analytics versus Traditional Historical Forecasting
· Predictive Analytics

Advanced Predictive Analytics versus Traditional Historical Forecasting

Traditional forecasting, using historical observations estimate future business metrics such as inventory requirements, asset performance, budgets and revenue. Compared to predictive analytics, this practice fails to deliver the precision and agility required of leading enterprises and effective IoT asset management programs meeting difficult challenges. The reason for this shortfall is simple: the past does not […]

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Next generation analytics is doing tremendous things
· Predictive Analytics

Next generation analytics is doing tremendous things

The compelling nature of today’s highly-polished BI and advanced visualizations inflates the credibility of conclusions that appear to be supported by big data analyses. After all, if we can manage to collect and properly condition volumes of data, in varied forms, at a rapid pace, in the face of uncertainty, then the end result must […]

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The predictive power of big data analytics in the IIoT era
· Predictive Analytics

The predictive power of big data analytics in the IIoT era

Fatal flaw of predictive IIoT analytics Most predictive analytics suffer from a fatal flaw: they are confined to historical views. Analysts try everything from machine learning (ML) to traditional forecasting to flashy BI dashboards and visualizations in attempts to estimate details about the future of complex business operations: The predictions fail. A wake does not […]

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Unleash the Power of IoT-based Predictive Maintenance
· Predictive Analytics

Unleash the Power of IoT-based Predictive Maintenance

In today’s competitive industrial world, predictive maintenance (PdM) is no longer a nice-to-have; it has become a necessity. Traditional PdM methods have several limitations. However advancements in wireless, cloud and AI technology are disrupting the way PdM has been done in recent decades. Companies are making use of these technologies to offer an end-to-end, easy-to-deploy […]

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Pragmatic Predictive Analytics through Pattern Analysis in Operational Data
· Predictive Analytics

Pragmatic Predictive Analytics through Pattern Analysis in Operational Data

One certainty is that manufacturing processes continue to get better at producing data-primarily due to rapid cost reductions and improvements in data collection, communication, and storage technologies. The challenge, however, is that the ability to exploit this data for meaningful operational benefits is not keeping pace. There is real potential to use manufacturing data to […]

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Implementing Artificial Intelligence Solutions: Are Your Operations Ready?
· Connected Industry

Implementing Artificial Intelligence Solutions: Are Your Operations Ready?

Artificial intelligence (AI) has certainly become a popular buzzword. But it’s more than that–it’s a critical new technology that too many companies have heard about yet aren’t certain how to use. Today, and every day for the foreseeable future, a multitude of industries and companies are contemplating how to implement AI solutions into their operations. […]

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Changing a Lightbulb with a Hammer: Predictive Analytics with Machine Learning
· Predictive Analytics

Changing a Lightbulb with a Hammer: Predictive Analytics with Machine Learning

Machine Learning (ML) isn’t so mystical after all. Machine Learning is a new term that re-packages well-established statistical techniques that have been around for decades. Machine Learning reacts to new information by learning. The “learning” happens by observing the past—sometimes the very recent past. Machine Learning can deliver on the promise of self-adjusting algorithms that […]

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