Why 85% of Machine Learning Projects Fail – How to Avoid This
According to Gartner, 85% of Machine Learning (ML) projects fail. Worse yet, the research company predicts that this trend will continue through 2022. Does this point to some weakness in ML itself? No, it points to weaknesses in the way
Leveraging Machine Learning to Manage Operational Risks in Industrial Operations
Sensor data plays a vital role in ensuring operational safety and efficiency in industrial operations. Sensors are deployed widely in industrial settings to measure parameters such as temperature, pressure, flow, vibration and others. The data that flows from these sensors
AI & ML wizardry: how to overcome technical road blocks and make real for power generation
Artificial Intelligence (AI) and machine learning (ML) wizardry are often portrayed by the media, however there are some critical road blocks and a way to manage them in the power generation sector. Is AI good or bad? Road block 1: Low
The Beginner’s Guide to AI in Manufacturing
Manufacturers today face a highly competitive environment with rising costs of materials and resources. The nominal price of steel, for example, has increased by 167% since the turn of the century while energy costs have climbed more than 2.5 times their prices in
How AI & ML Are Being Used to Relieve Traffic Congestion
Traffic isn’t just bad. It’s actually getting worse. Do you think the traffic is bad where you live? Try moving to Boston, where commuters suffer the worst highway congestion in the nation. Residents of the New England city spent an average
The predictive power of big data analytics in the IIoT era
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
If AI has the power to transform all industries, why hasn’t it?
There is a ton of noise about AI for industry today. A quick search on Google for “Artificial Intelligence” returned 82M results and almost 4M news stories. Bloomberg reported in June that mentions of AI in earnings transcripts has risen
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
Machine Learning Challenges in the implementation of Industrial Internet of Things
We are living in the era of 4th Industrial revolution – the evolution which is based on extreme automation of machine to machine communication, not only just the communication but way beyond. Machines can understand each other, negotiate with each