In this podcast, Drew Conway (@DrewConway) from Alluvium talks about his journey on creating a socially connected and responsible data science practice. He shared tactical steps and suggestions to help recruit the right talent, build the right culture, and nurture the relationship to create a sustained and impactful data science practice. The session is great for folks caring to create a self-sustaining and growth compliant data science practice.
0:28 Drew's journey from counter-terrorism to IoT startup.
9:29 Data science in the industrial space.
12:01 Entrepreneurship in the IoT start-up.
18:36 Selling data analysis to executives in the industrial space.
24:14 Automation in the industrial setting.
29:27 What is an IoT ready company?
32:40 Challenges in integrating data tools in the industrial sector.
37:27 Data science talent pool in industrial and manufacturing companies.
41:52 Challenges in IoT adoption for industrial companies.
46:31 Alluvium's interaction with industries.
50:57 Picking the right use case as an IoT start-up.
52:49 Right customers for an IoT start-up.
59:26 Words of wisdom for anyone building an IoT start-up.
Drew's Recommended Listen:
Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R. Hofstadter https://amzn.to/2x0uo7d
Drew Conway, CEO, and founder of Alluvium, is a leading expert in applying computational methods to social and behavioral problems at a large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years.
Drew has advised and consulted companies across many industries, ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community.
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