Blog

How to successfully implement continuous monitoring and data labeling for a chatbot with Kili Technology

Alexa, Siri, Cortana : for the last decade, Chatbots have invaded our daily lives through the objects and softwares we use on a daily basis, thanks to the great improvements of the technologies they use. And this is not just a fancy add-on for a business, since Gartner had estimated that by 2021, the early … Continue reading How to successfully implement continuous monitoring and data labeling for a chatbot with Kili Technology

How To Monitor Machine Learning Models In Production?

How To Monitor Machine Learning Models In Production? One key challenge in modern AI application is to maintain high levels of performance with production models. Engineer spend an increasing amount of time working  on the production life-cycle of their models. In the paper on the system "Overton", Apple engineers states that "In the life cycle … Continue reading How To Monitor Machine Learning Models In Production?

How Kili Technology and AutoML Helped Me Scale Email Classification for Customer Services

How Kili Technology and AutoML Helped Me Scale Email Classification for Customer Services Emails are the de facto standard for written communication between companies and customers. They are the most preferred channel of communication with 91% of all US consumers still using email daily. [1] That's why businesses and individuals face massive volumes of unprioritized … Continue reading How Kili Technology and AutoML Helped Me Scale Email Classification for Customer Services

How to build a state of the art Machine Learning platform in 2021?

How to build a state of the art Machine Learning platform in 2021? Traditionally, machine learning has been a domain reserved for academics who have the mathematical skills to develop complex ML models but lack the software engineering skills required to produce these models. It may come as a surprise to young data scientists to … Continue reading How to build a state of the art Machine Learning platform in 2021?

Counterfactual data augmentation to speed up NLP data labeling

Counterfactual data augmentation to speed up NLP data labeling As algorithms grow more complex, they also grow hungry for more data, to be able to learn precisely the meaning of the sentence. In Text Classification task for example, the variety of words encountered allows for a much more resilient algorithm, especially when in production with … Continue reading Counterfactual data augmentation to speed up NLP data labeling