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Blog Post 4 min read

Metrics At Scale: Understanding When A Spike in Sales Isn't Good News (Part 1)

In the first part of our "Metrics At Scale" series, we start by examining multivariate anomalies and why correlation is key to root cause investigation.
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Blog Post 6 min read

Are You Managing your Data in ‘Memento’ Mode?

Get out of "Memento" mode and don’t be left guessing what’s happening with your business’ key data.
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Blog Post 8 min read

5 Data Lessons We Can All Learn From 'Star Wars'

Yes, "Star Wars:, the classic space opera full of mystical intrigue and epic power struggles. Yet, at the center of the movie, data plays a critical role.
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Blog Post 3 min read

Top 5 Reasons to Attend Our Amazon Partner Series Webinar

Join our webinar from the Amazon Partner Series to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot.
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Blog Post 6 min read

Key Machine Learning Takeaways From My Conversation With Amazon’s CTO

Major takeaways from my recent appearance at Amazon’s NYC AWS Loft with Amazon CTO Dr. Werner Vogels, where we discussed the present and future of machine learning and how it will push the boundaries of what's possible.
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Blog Post 3 min read

Do You Trust Your A/B Test Results? Run and Monitor Them for Continued Success

Many product managers assume that once the A/B test is over that the job is done, but there are ongoing reasons to monitor the winning results.
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Blog Post 4 min read

Conquering Big Data’s Death Mountain: Quick Reflections on GDC18

There were new games at every corner, but one of the more overwhelming presences at GDC 2018 was augmented reality and virtual reality games.
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Blog Post 7 min read

Too Many Variables for Dashboards

Big data may mean more information, but it can also mean more false information. The challenge is in uncovering the unknowable.
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Blog Post 5 min read

Have You Got Black Swans Swimming in Your Big Data?

Anomalies are the proverbial needles in a haystack. The problem is that the needle is sitting in an increasingly larger haystack.  Moreover, the subtle anomalies can just slip under the radar and go undetected for much longer.
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