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.
What to consider when implementing an HR dashboard
As everyone working with HR becomes aware of the importance of data analytics and its impact on enhancing recruiting, workforce management and performance, it’s a matter of time when the question of an HR dashboard is put forward.
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.
How Uber delivers exceptional customer experience with ML
When your business is serving customers in 6000 cities, in 64 countries and millions of riders, you have to make sure you live and breath customer satisfaction. Uber, the global tech leader in ride-sharing, can teach us a thing or two with how they manage to keep all their riders and drivers happy.
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.
Is data-driven HR telling us all we need to know about our people?
How much data-driven and digitalised can we become without the fear of overlooking the human element in HR? After all, the role of HR is to manage the people of the company and needs to maintain some core values like empathy and humanity.
Business
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.
Is data-driven HR telling us all we need to know about our people?
How much data-driven and digitalised can we become without the fear of overlooking the human element in HR? After all, the role of HR is to manage the people of the company and needs to maintain some core values like empathy and humanity.
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.
Successful people analytics to lead tech-literate generations
The first word that people use to describe Millennials is tech-savvy or tech-literate. The majority of Millenials don’t remember a time when there was no internet or technology. Although they were born before the tech revolution caught on, they pretty quickly grew into the technology, and it became their second nature.
Is coronavirus (COVID 19) a black swan scenario for the world economy?
The world is undeniably facing a new, challenging and an unpredictable event with the outbreak of the COVID-19 virus, known as the coronavirus. So far, it has affected more than 550,000 people worldwide and has left business fearing total collapse.
How to create happy and high performing teams with the help of data
Happy and high performing teams are the key to every business success. But how can organisations truly measure happiness and performance? Can they put a number to them?
Data security fundamentals: To protect your data, you need to understand it
In the data-driven era, data protection and data security are crucial for companies. However, they can’t protect their data, if they don’t understand it first. We had a chat with […]
Experts advise: How to turn data into insights in the AI industrialisation era
The decade of data and AI industrialisation holds great potential for organisations to see the full value of their data and AI investments. However, without a proper plan for adoption, firms can experience the detrimental consequences of resource and funding misallocation, warns Ashley Cline, VP of Sales at Cloud Interactive.
An ML model that facilitates employee transfer in a company
Adam McKinnon, Advanced People Analytics Practitioner at Merck KGaA, a German multinational pharmaceutical, chemical and life sciences company, demonstrated a case study involving a practical approach with text analytics for facilitating job rotation within the organisation at the Nordic People Analytics Summit 2019.
Tech
Data and AI Innovators – Clair Sullivan
Clair demonstrated a deep learning method that can be used to detect duplicate code at GitHub, which is more than half of all the code on the platform.
Can we trust deep learning to detect duplicate code? GitHub did it
Clair Sullivan talked about duplicate code on GitHub and how they make sense of it using deep learning on graphs of code.
Data and AI Innovators – Jorge Davila Chacon
Jorge Davila Chacon discussed the RL application for debt collection at Data Innovation Summit 2017. But a time-lapse of almost 3 years is a lifetime in the machine learning world. This was the reason we invited Jorge to talk about recent developments in AI and ML, and particularly in reinforcement learning, not only from a technical side, but also from a social aspect of the adoption of these technologies.
Data and AI Innovators – Daniel Zakrisson
Giving up ownership over their data even for collaboration for building machine learning models is what organisations fret about. Daniel Zakrisson talked about federated machine learning as a solution for this predicament at Data Innovation Summit 2019.
ML codes can open iron doors: Gesture recognition
Electronic access cards are nothing new – last century news. But what if you could open a door just by making a wrist with your phone. A group of very smart guys sat down and decided to find a way to take the experience of opening a door to the next level – and the perfect solution was to turn the phone into a key relying on gesture recognition.
Automated and AI-enabled B2B lead generation
How to generate more leads? This is a question that all B2B businesses are trying to answer by relying on different inbound and outbound B2B lead generation methods.
Data and AI Innovators – Panos Alexopoulos
Panos Alexopoulos brought knowledge graphs on stage at Data Innovation Summit 2018 to share his lessons from building one for the labour market.
AI-powered telecom network of tomorrow: Ericsson case study
The telecom networks of today connect people. The telecom networks of tomorrow will not only connect people but also things, factories and offer immersive video use cases with the help of 5G and IoT.
Taming the reproducibility crisis in data science: Lars Albertsson
Reproducibility is a common challenge that plagues the scientific community. And data science is no exception. Everyone is talking and writing about how to overcome it, but few have had real progress.
ML-powered accommodation hunt: The Airbnb approach
There’s rarely a person that hasn’t booked or at least tried to book a trip at least once with Airbnb. Founded in 2008, it’s an online platform that has revolutionised how people find places to stay around the world.