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Better Training Data, Better AI

Better Training Data Better AI. Since the 80's the AI paradigm has been Better Models =  Better AI. Today the limitations of this paradigm are clear: significant efforts for marginal performance improvements, restricted access to overspecialized engineers, low explainability, low control, and prohibitive project costs. @Kili Technology, we are believers. 3 years ago, Edouard d’Archimbaud … Continue reading Better Training Data, Better AI

My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do?

My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do? Data Quality as a first response Introduction The ultimate goal of every data scientist or company that builds ML models is to create the better model with the highest predictive accuracy in production. Usually, we start with state-of-the-art algorithms being … Continue reading My State-Of-The-Art Machine Learning Model does not reach its accuracy promise: What can I do?

Data annotation: leveraging interactive segmentation to achieve state of the art quality and speed

Data annotation: leveraging interactive segmentation to achieve state of the art quality and speed Machine learning models have proven to be extremely powerful for automating tasks. Automatic image recognition for example has seen an incredible leap thanks to the development of convolutional neural networks. We see that our models today have not yet reached their … Continue reading Data annotation: leveraging interactive segmentation to achieve state of the art quality and speed

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?