#3: Gain insights from complex data (featuring 3M)
AWS Industrial Insights
Welcome to AWS Industrial Insights. In every episode, we interview visionary leaders from industrial companies to share their insights on technology, innovation, and leadership. This podcast is for industrial business leaders who are looking to make data-driven decisions and learn from those who’ve experienced similar challenges. By interviewing leading executives, we’ll uncover their insights and learn exactly how their organization found a solution. You can find all episodes of AWS Industrial Insights on your favorite streaming platform or listen below.
Listen now on Apple Podcasts, Spotify, Stitcher, TuneIn
Episode #3: Gain insights from complex data (featuring 3M)
In this episode, hear from American multinational conglomerate corporation 3M and learn how 3M was able to aggregate data from multiple, disparate sources across different functions within the business to create a single supply chain view in an AWS Data Lake. See how users quickly build secure, self-service reporting for questions on raw materials and finished goods, how they glean valuable insights from this data, and how they use it to optimize operations.Duration :00:28:40
Featured guests: Anders Davidson, Digital Systems Product Owner at 3M | Douglas Bellin, Business Development Executive, Industrie 4.0 and Smart Factory at AWS
Data Lake on AWS eBook https://pages.awscloud.com/rs/112-TZM-766/images/AWS_Manufacturing_Data_Lake_eBook.pdf
Cloud Enabled Smart Factory Ebook https://d1.awsstatic.com/Industries/Manufacturing/Cloud_enabled_Smart_Factory_ebook.pdf
Machine to Cloud Connectivity Framework https://aws.amazon.com/solutions/machine-to-cloud-connectivity-framework/
AWS for Industrial Blog https://aws.amazon.com/blogs/industries/aws-for-industrial/
AWS for Manufacturing Webpage https://aws.amazon.com/manufacturing/
AWS for Industrials Webpage https://aws.amazon.com/industrial/
Ask A Question
Send us your questions at firstname.lastname@example.org. You can also post your question below in the comment section. We will reply to all questions within 48 business hours.