Welcome to the age of Industrial AI: Reflection on the Maintenance Analytics Summit 2020
This week, we had the pleasure of hosting the 3rd edition of the Maintenance Analytics Summit, the first time in a virtual setting. Traditionally PdMA Summit brings together maintenance professionals, experts, practitioners, and enthusiasts who are eager to learn from the latest and most innovative methodologies, tools and case studies in data-driven maintenance and advanced data analytics.
What our PdMA experts say about the future of predictive maintenance
On Tuesday, we are opening up the 3rd edition of the Maintenance Analytics Summit where attendees will have a chance to follow online presentations by some of the esteemed experts in predictive maintenance, condition-based monitoring, IIoT, asset lifecycle management and Advanced Data Analytics.
Throwback to the first Maintenance Analytics Summit (part 2)
In the previous article, we introduced some of the topics and presentation that were discussed at the very inception of the Maintenance Analytics Summit.
Behind the scenes of detecting anomalies with deep learning at Airbus
Sarah Andreas, Data Scientist at Airbus, will be joining us at the Maintenance Analytics Summit to present how they use deep learning for anomaly detection.
Throwback to the first Maintenance Analytics Summit (part 1)
We are just a few days away from the third edition of the Maintenance Analytics Summit. The inaugural Maintenance Analytics Summit took place in 2018 as a response to the need for a platform where experts can present and discuss innovative case studies on data-driven maintenance in the heavy asset and manufacturing industries.
How data analytics is redefining the metal cutting industry
The engineering and metal cutting industry are undergoing a dynamic shift towards digitalisation.
How data analytics helped Baker Hughes transform into a brilliant factory
We are honoured to welcome Renato Magliacani and Federico Puccetti from Baker Hughes as presenters at the virtual edition of the Maintenance Analytics Summit.
Shifting the predictive maintenance paradigm with a cloud-based approach
Many industrial and manufacturing companies have their data stored in file systems and ERPs. But, if data scientists and engineers are to use this data to provide value, it has to be available and accessible in a consolidated cloud space.
Predictive maintenance that unites data analysts and domain experts
In predictive maintenance, there is often a gap between “nice to have” and “must-have” solutions. Technical experts and customers disagree on what should be the final outcome of the digitalisation.
Saving lives from train accidents with machine learning and IoT
Machine learning has a proven track record of advancing our lives, whether it is automating tasks and processes, gaining valuable insights out of massive quantities of data and enabling us to take the most effective data-driven actions. But machine learning and IoT also play a crucial role in saving lives from train accidents.
Asset lifecycle management with a ten metrics approach
Hamid Al-najjar, Maintenance Engineer at Seco Tools, will be joining us as one of the speakers at the virtual Maintenance Analytics Summit. During his presentation, Hamid will reveal a ten metrics approach that enables industrial companies to manage assets lifecycle and its performance from the inception to disposal with less cost.
Business
Welcome to the age of Industrial AI: Reflection on the Maintenance Analytics Summit 2020
This week, we had the pleasure of hosting the 3rd edition of the Maintenance Analytics Summit, the first time in a virtual setting. Traditionally PdMA Summit brings together maintenance professionals, experts, practitioners, and enthusiasts who are eager to learn from the latest and most innovative methodologies, tools and case studies in data-driven maintenance and advanced data analytics.
What our PdMA experts say about the future of predictive maintenance
On Tuesday, we are opening up the 3rd edition of the Maintenance Analytics Summit where attendees will have a chance to follow online presentations by some of the esteemed experts in predictive maintenance, condition-based monitoring, IIoT, asset lifecycle management and Advanced Data Analytics.
Throwback to the first Maintenance Analytics Summit (part 2)
In the previous article, we introduced some of the topics and presentation that were discussed at the very inception of the Maintenance Analytics Summit.
Behind the scenes of detecting anomalies with deep learning at Airbus
Sarah Andreas, Data Scientist at Airbus, will be joining us at the Maintenance Analytics Summit to present how they use deep learning for anomaly detection.
Throwback to the first Maintenance Analytics Summit (part 1)
We are just a few days away from the third edition of the Maintenance Analytics Summit. The inaugural Maintenance Analytics Summit took place in 2018 as a response to the need for a platform where experts can present and discuss innovative case studies on data-driven maintenance in the heavy asset and manufacturing industries.
How data analytics is redefining the metal cutting industry
The engineering and metal cutting industry are undergoing a dynamic shift towards digitalisation.
How data analytics helped Baker Hughes transform into a brilliant factory
We are honoured to welcome Renato Magliacani and Federico Puccetti from Baker Hughes as presenters at the virtual edition of the Maintenance Analytics Summit.
Shifting the predictive maintenance paradigm with a cloud-based approach
Many industrial and manufacturing companies have their data stored in file systems and ERPs. But, if data scientists and engineers are to use this data to provide value, it has to be available and accessible in a consolidated cloud space.
Predictive maintenance that unites data analysts and domain experts
In predictive maintenance, there is often a gap between “nice to have” and “must-have” solutions. Technical experts and customers disagree on what should be the final outcome of the digitalisation.
Saving lives from train accidents with machine learning and IoT
Machine learning has a proven track record of advancing our lives, whether it is automating tasks and processes, gaining valuable insights out of massive quantities of data and enabling us to take the most effective data-driven actions. But machine learning and IoT also play a crucial role in saving lives from train accidents.
Tech
Welcome to the age of Industrial AI: Reflection on the Maintenance Analytics Summit 2020
This week, we had the pleasure of hosting the 3rd edition of the Maintenance Analytics Summit, the first time in a virtual setting. Traditionally PdMA Summit brings together maintenance professionals, experts, practitioners, and enthusiasts who are eager to learn from the latest and most innovative methodologies, tools and case studies in data-driven maintenance and advanced data analytics.
What our PdMA experts say about the future of predictive maintenance
On Tuesday, we are opening up the 3rd edition of the Maintenance Analytics Summit where attendees will have a chance to follow online presentations by some of the esteemed experts in predictive maintenance, condition-based monitoring, IIoT, asset lifecycle management and Advanced Data Analytics.
Throwback to the first Maintenance Analytics Summit (part 2)
In the previous article, we introduced some of the topics and presentation that were discussed at the very inception of the Maintenance Analytics Summit.
Behind the scenes of detecting anomalies with deep learning at Airbus
Sarah Andreas, Data Scientist at Airbus, will be joining us at the Maintenance Analytics Summit to present how they use deep learning for anomaly detection.
Throwback to the first Maintenance Analytics Summit (part 1)
We are just a few days away from the third edition of the Maintenance Analytics Summit. The inaugural Maintenance Analytics Summit took place in 2018 as a response to the need for a platform where experts can present and discuss innovative case studies on data-driven maintenance in the heavy asset and manufacturing industries.
How data analytics is redefining the metal cutting industry
The engineering and metal cutting industry are undergoing a dynamic shift towards digitalisation.
How data analytics helped Baker Hughes transform into a brilliant factory
We are honoured to welcome Renato Magliacani and Federico Puccetti from Baker Hughes as presenters at the virtual edition of the Maintenance Analytics Summit.
Shifting the predictive maintenance paradigm with a cloud-based approach
Many industrial and manufacturing companies have their data stored in file systems and ERPs. But, if data scientists and engineers are to use this data to provide value, it has to be available and accessible in a consolidated cloud space.
Predictive maintenance that unites data analysts and domain experts
In predictive maintenance, there is often a gap between “nice to have” and “must-have” solutions. Technical experts and customers disagree on what should be the final outcome of the digitalisation.
Saving lives from train accidents with machine learning and IoT
Machine learning has a proven track record of advancing our lives, whether it is automating tasks and processes, gaining valuable insights out of massive quantities of data and enabling us to take the most effective data-driven actions. But machine learning and IoT also play a crucial role in saving lives from train accidents.