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Simon Crosby (@simoncrosby, CTO @Swim) talks about how to understand the new business models and application uses of data capture and analytics at the edge.
SHOW: 539
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
Topic 1 - Welcome back to the show. Former founder of XenSource and Bromium, now the CTO at Swim. You’ve always been at the forefront of solving complex challenges, so where is your focus these days?
Topic 2 - We’ve been covering “real-time” with a number of guests this year, but we don’t always connect the technology to the business outcomes. Where are we today, as an industry, of connecting this more fast-moving data with our ability to understand it in the context of business?
Topic 3 - As you’re seeing real-time data and persistent data mixed together, how are those teams organized for success (or failure)?
Topic 4 - What are some of the common misperceptions that you see about how to best handle either data at the edge, or streaming data?
Topic 5 - Swim is helping companies create real-time representations of their environments. What are some of the unique capabilities that you’ve seen this enable for companies?
Topic 6 - How are some of the most important things that companies can do to enable the opportunity with real-time data?
FEEDBACK?
By Massive Studios4.6
147147 ratings
Simon Crosby (@simoncrosby, CTO @Swim) talks about how to understand the new business models and application uses of data capture and analytics at the edge.
SHOW: 539
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
Topic 1 - Welcome back to the show. Former founder of XenSource and Bromium, now the CTO at Swim. You’ve always been at the forefront of solving complex challenges, so where is your focus these days?
Topic 2 - We’ve been covering “real-time” with a number of guests this year, but we don’t always connect the technology to the business outcomes. Where are we today, as an industry, of connecting this more fast-moving data with our ability to understand it in the context of business?
Topic 3 - As you’re seeing real-time data and persistent data mixed together, how are those teams organized for success (or failure)?
Topic 4 - What are some of the common misperceptions that you see about how to best handle either data at the edge, or streaming data?
Topic 5 - Swim is helping companies create real-time representations of their environments. What are some of the unique capabilities that you’ve seen this enable for companies?
Topic 6 - How are some of the most important things that companies can do to enable the opportunity with real-time data?
FEEDBACK?

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