Under this partnership, the two companies will initially launch software that will use ServiceNow’s IT Service Management historical incident data to train Watson AIOps algorithms
The partnership aims to meld IBM’s Watson AIOps and ServiceNow’s IT Service Management and Operations Management Visibility as enterprises are looking to automate more of the enterprise. Read More
Tag Archives: MLOps
10 MLops platforms to manage the machine learning lifecycle
Machine learning lifecycle management systems rank and track your experiments over time, and sometimes integrate with deployment and monitoring
For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used lifecycle management for their machine learning models. That’s a problem that’s much easier to fix now than it was a few years ago, thanks to the advent of “MLops” environments and frameworks that support machine learning lifecycle management. Read More
Scientists use artificial intelligence in new way to strengthen power grid resiliency
A new artificial neural network model created by Argonne scientists handles both static and dynamic features of a power system with a relatively high degree of accuracy.
America’s power grid system is not only large but dynamic, which makes it especially challenging to manage. Human operators know how to maintain systems when conditions are static. But when conditions change quickly, due to sudden faults for example, operators lack a clear way of anticipating how the system should best adapt to meet system security and safety requirements. Read More
The main beneficiaries of artificial intelligence success are IT departments themselves
Artificial intelligence, seen as the cure-all for a plethora of enterprise shortfalls, from chatbots to better understanding customers to automating the flow of supply chains. However, it is delivering the most impressive results to information technology departments themselves, enhancing the performance of systems and making help desks more helpful. At the same time, there’s a recognition that AI efforts — and involvement — need to expand beyond the walls of IT across all parts of the enterprise. Read More
#aiops, #cyberIoT Anomaly detection – algorithms, techniques and open source implementation
Anomaly detection for IoT is one of the archetypal applications for IoT.
Anomaly detection techniques are also used outside of IoT.
In my teaching at the #universityofoxford – we use anomaly detection as a use case because it brings together many of the intricacies for IoT and also demonstrates the use of multiple machine learning and deeplearning algorithms.
Long term, I am exploring the idea of creating an open source anomaly detector for IoT – both for my students and in general. Read More
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