At the Google Cloud Summit event in Paris, I presented the Video Intelligence API for 3000+ IT professionals:
On the 17th of October, I run a global webinar for Google, about custom conversations and chatbots. This was really exiting as we recorded this together with a full professional film crew!(https://cloudplatformonline.com/onair-emea.html) Enjoy!
At the Google Cloud Next event in Amsterdam, I presented the Video Intelligence API for 3000+ IT professionals:
During Google Cloud Next in Amsterdam, I spoke for the Leader Circle (c-level discussions for Dutch companies) about chatbots, and smart conversation agents. A talk about Google Home, and how you can create custom agents with Dialogflow.
Summer 2017, I run a technical session about G Suite at Google Cloud Next, in Amsterdam. This session is a G Suite technical talk on how companies can extend on top of G Suite, whether it is on organization’s own application or whether they want to write a code on top of G Suite. The talk is followed by a live use case with CEO and Founder of VOGSY, Leo Koster. Enjoy watching! A talk about AppScript and AppsMaker
A couple of months ago, me and my co-worker @dnovakovskiy spoke on a Python event in the North of the Netherlands: Pygrunn 2017. I forgot that there were recordings made,and came by it today. What a nice surprise! So in case you are a Python dev, here you can see a video of our keynote: Machine Learning APIs for Python Developers.
Google Cloud Video Intelligence API makes videos searchable, and discoverable, by extracting metadata with an easy to use REST API. You can now search every moment of every video file in your catalog and find every occurrence as well as its significance. It quickly annotates videos stored in Google Cloud Storage, and helps you identify key nouns entities of your video, and when they occur within the video. Separate signal from noise, by retrieving relevant information at the video, shot or per frame. You can try this out, yourself:
Wednesday the 15th of March 2017, was a big day for the Netherlands, at that day it was the Dutch general election, where the Dutch elected members of the house of representatives. The House of Representatives (the Second Chamber) is composed of 150 seats elected by proportional representation in a single nationwide constituency. There are 28 political parties, where the Dutch can vote the members from. Since I recently started working with Google Cloud Platform, I thought it would be a great idea, to predict the winning political party based on social media presence and sentiment. This idea is based on the blog post of Sara Robinson: Comparing tweets about Trump & Hillary with natural language processing.