Name: Kortical & MBNL / BT - AI for Predictive Maintenance - Client Testimonial
Uploaded: 2019-06-05T22:17:31.000Z
Duration: 2 min 39 s
Description: Predictive maintenance with BT's James Barber explaining the work that Kortical did with them to improve failure detection in advance.

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Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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Kortical

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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Blue Prism Demo: Telecom Preventive Maintenance with Kortical

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Lab Screen is the main screen where you upload your data, select the target column and then hit start training for the AutoML to turn your data into machine learning data,  automatically build features and then generate the code on the screen (which you can edit if you wish) and leave it to train to find you the best model based on your data.

The graphs show you how many iterations Kortical has gone through to find you the best model.

You can explore any model in more detail.

You get high level explanations for each model

Also row by row explanations - here is a passenger that is highly likely to survive the titanic, due to being female, first class cabinet and high fare but her age at 35 was counting against her surviving a little and you can get these for every row and future prediction.

Kortical customer, Simon James (VP Data Science, Sapient Publicis) taking about the features he likes about the platform.

Kortical & Sapient Publicis - AI Platform & Expertise -Testimonial

Simon James - Global VP of Data Science Sapient Publicis, discusses the benefits of using the Kortical platform in delivering AI solutions fast.

NHS Blood and Transplant R&D Director talking about the work Kortical did with them on improving kidney matching.

Kortical & NHS - AI Improving Kidney Matching - Testimonial

Kortical worked with the NHS Blood and Transplant team to build an AI model in 4 weeks to improve the model they currently use for kidney donor matching.  It was the first project we did with the NHS and it has lead to a much bigger AI project powering the blood supply chain with Kortical.

Predictive maintenance with BT's James Barber explaining the work that Kortical did with them to improve failure detection in advance.

Kortical & MBNL / BT - AI for Predictive Maintenance - Client Testimonial

Kortical is working with MBNL / BT & EE to deliver an AI solution to predict when equipment is going to fail to deliver preventative maintenance rather than reactive maintenance.  Hear from James Barber about his thoughts on the project to date.

Kortical 2020-04-27 12:25:07

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We are using the AutoML to create NLP models that are used to automate customer service enquiries, where we use the models to read the email and classify it. For those emails with a high confidence it will automatically respond but for those that they are not sure we use people to classify the email and help enrich the dataset.

The NLP models results were much better than the ones that we did outside of the platform.
It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc.
Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models.

It would be ideal to have Jupyter built into the platform, they say it is coming.
Also while it is easy to use, at the start it would have been helpful to have more help guides.

ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.

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What is Kortical?