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Artificial Intelligence for Contact Centers

Using Google Cloud Build with private GKE clusters

Using Google Cloud Build with private GKE clusters

To isolate workloads from the dangers of the internet, deploying “private” GKE clusters is recommended: the Kubernetes API endpoint is only…
Go to the profile of Ronald Moesbergen
Ronald Moesbergen
Dec 15, 2021
Scaling workloads based on GPU utilization in GKE

Scaling workloads based on GPU utilization in GKE

With GPU accelerated workloads becoming more common, scaling workloads based on CPU is no longer optimal. Instead, it would be better to…
Go to the profile of Ronald Moesbergen
Ronald Moesbergen
Sep 22, 2021
Saving Costs with Google Kubernetes Engine (GKE)

Saving Costs with Google Kubernetes Engine (GKE)

Another Kubernetes cost-saving blog
Go to the profile of Ronald Moesbergen
Ronald Moesbergen
Jul 21, 2021
Stats, Schemas and the Dilemma Between Stability and Flexibility

Stats, Schemas and the Dilemma Between Stability and Flexibility

Data companies need stats. But stats are nothing without proper options for reporting. At Deepdesk we struggled to find the right format…
Go to the profile of Geert Jonker
Geert Jonker
Jul 19, 2021
Identifying UI Bottlenecks with Flame Graphs

Identifying UI Bottlenecks with Flame Graphs

Debugging with Chrome DevTools
Go to the profile of Max Meinders
Max Meinders
Jun 21, 2021
Server-Sent Events in FastAPI using Redis Pub/Sub

Server-Sent Events in FastAPI using Redis Pub/Sub

Whenever you want real time updates of your client, and you only need to push changes to the client (one-way traffic), there is a great…
Go to the profile of Lukas Batteau
Lukas Batteau
Jan 18, 2021
Training a Dutch GPT-2 base model

Training a Dutch GPT-2 base model

Deepdesk suggests texts to agents in customer contact centers, in a form known as autocomplete or smart compose. We use several techniques…
Go to the profile of Geert Jonker
Geert Jonker
Dec 4, 2020
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