Mikhail Zhilkin

Data Science Without a Data Scientist: Why Automation is Awesome?

Presentation - Data Innovation Summit 2017

Share this insight:
A real-life example of how data scientists can make themselves redundant, by automating the entire chain from receiving data from an external source all the way to a nice visualisation. No fancy technologies involved.

Questions:

• Mundane tasks take time & effort you don’t want to spend on them
• You can often automate complex processes using basic tools
• Multiple wins: save time & effort, make others less dependent on the data sientist, prevent human errors
Vision

Hyperight is a global community of business and data professionals passionately dedicated to help organisations increase their maturity level of data utilization and innovation, by spreading their ideas, knowledge and experience.

Through our events, seminars, interviews and articles, we capture and present some of the most groundbreaking strategies, business cases, ideas and technologies around data management, analytics, data science, digitalization, and much more - presented by practitioners and experts from world leading organizations and technology providers.

Although acting as a commercial event organization, through our media channels hypright.com and hyperightdatatalks.com we are committed to delivering the knowledge shared with us to any person eager to learn more.

Subscribe Now
We’re a Social Bunch