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Use Real-time Analytics, Streaming, IoT, and AI to modernize apps
Norm Judah, Former CTO of Microsoft, and Mike Gualtieri, VP Analyst at Forrester, discuss how business leaders can lead teams to use real-time data and machine learning to modernize applications in big tech. In this epis...
About This Episode
Use Real-time Analytics, Streaming, IoT, and AI to modernize apps is an episode from The Data Economy by Redis. Norm Judah, Former CTO of Microsoft, and Mike Gualtieri, VP Analyst at Forrester, discuss how business leaders can lead teams to...
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Episode Details
Published Mar 9, 2022, 49:02 long, audio available.
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Questions About This Episode
What is Use Real-time Analytics, Streaming, IoT, and AI to modernize apps about?
Norm Judah, Former CTO of Microsoft, and Mike Gualtieri, VP Analyst at Forrester, discuss how business leaders can lead teams to use real-time data and machine learning to modernize applications in big tech. In this episode, we’ll look at key challenges to consider, dive into the technology, and address how leaders leverage AI to accelerate innovation and deliver for customers. Watch the video version of The Data Economy at redis.com/thedataeconomy Produced by Eric Johnson from Lightningpod.fm
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Which podcast is Use Real-time Analytics, Streaming, IoT, and AI to modernize apps from?
Use Real-time Analytics, Streaming, IoT, and AI to modernize apps is an episode from The Data Economy by Redis.
How long is this episode?
This episode is 49:02 long.
When was this episode published?
This episode was published on Mar 9, 2022.
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Are there related episodes from The Data Economy?
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Where can I listen to Use Real-time Analytics, Streaming, IoT, and AI to modernize apps?
You can listen to Use Real-time Analytics, Streaming, IoT, and AI to modernize apps on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Use Real-time Analytics, Streaming, IoT, and AI to modernize apps is from The Data Economy by Redis.
What are the episode details?
Published Mar 9, 2022 and 49:02 long