Notes from Industry

Handling complications in customer data using Python

Abstract:

For any organization, data management is always a challenge, through its life cycle of planning, collection, processing, storage, management, analysis, visualization and finally interpretation. For successful management and protection of data requires a lot of planning and collaboration between teams to move data from one stage to the next. Few prominent steps of data processing are wrangling, compression, deduplication and encryption. …


Value proposition of Telemetry for industry 4.0

Introduction

In the age of precision farming, the role of technology is decisive and amplified much higher than ever. There are many ways technology can help industries to improve the offering and keep renovating. First usage of electronic system in automotive industry was vacuum tube car radio in 1930s and from then to now, manufacturing cost related to electronic components has raised approximately to 30% of the total cost of the machine. As the machine becomes more and more electronic, there is an increased scope of monitoring the machine, by sensors and signals.


According to WHO CoVID-19 is already a global pandemic, Germany announces that close to 60–70% people can be exposed to the virus. With more than 600 thousand cases the epicentre of CoVID-19 moved from China to Europe and then to USA in a span of mere 3 weeks getting into the new heights every week. …

Shreepada Shivananda

Data scientist with an intent to make world a better place

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