Sep 23–26, 2019
Masaru Dobashi

Masaru Dobashi
Chief engineer, NTT Data Corp.

Masaru is a senior IT infrastructure engineer / IT architect and manager of NTT DATA Corporation. He is responsible for the research and development about data processing and analytics platform leveraging open sources (e.g. Hadoop, Spark, Kafka, etc) The clusters which he designed and developed includes thousands of nodes. He had several presentations at Strata Data Conference, Kafka Summit, Spark Summit, DataWorks Summit and so on.

Sessions

4:35pm5:15pm Thursday, September 26, 2019
Location: 1A 06/07
Secondary topics:  Deep Learning
Naoto Umemori (NTT DATA Corporation), Masaru Dobashi (NTT Data Corp.)
Giant Hogweed is a highly toxic plant. Our project aims to automate the process of detecting the Giant Hogweed by exploiting technologies like drones and image recognition/detection using Machine Learning. We show you how we designed the architecture, how we took advantage of both of Big Data and Machine / Deep Learning technologies (e.g. Hadoop, Spark and TensorFlow) and lessons learned. Read more.

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