It’s one thing to say your data-and-analytics architecture should be decision oriented and aligned to your most important and frequently occurring business use cases; it’s much harder to put that advice into practice. This post aims to help in that regard by providing a list of questions to facilitate discovery in conducting a needs assessment.

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Talk to researchers, and they’ll tell you many of the techniques behind this latest AI and machine learning renaissance actually date back as far as the 80’s..  What’s changed is cheap access to storage and processing power in the form of “the cloud,” and by extension, the cloud has made it far easier for companies to incorporate sophisticated data-and-analytics capabilities into their applications and workflows. Continue Reading »

When new technologies catalyze a shift in socio-economic paradigms, economic historian commonly refer to it as a revolution – the industrial revolution of the 19th century, the agrarian revolution before that.  In the wake, a new age is born. Continue Reading »

This quote, from statistician George Box, is one of my favorites, because of its far reaching implications.  It serves as a reminder to me that whether it’s a predictive model written in Python saved in a Jupyter notebook or a mental model based on personal experience and encoded in the wet-ware of my brain, it’s still wrong – in some way and to some degree that I may not be aware of or even able to discern.

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This coming Tuesday, September 12th, I’ll be speaking at Product School in Santa Monica on data’s role in product development.  To help me prepare, I wanted to start exploring the topic first here with a post.  (Writing always helps me to structure my thinking.)

Consider this your preview of what I hope will prove to be an engaging discussion, and if you’re in the LA area, come out to join us in person.  All the details are available through Eventbrite.

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I recently finished a fascinating and provocative book by Jonathan Taplin called Move Fast and Break Things.  Taplin cast the storied tensions between creatives and technologists in a new light and changed my perspective on some contemporary issues such as safe harbor and the so-called YouTube value gap.

Although spiritually I might identify more with creatives, intellectually and professionally I am unquestionably a technologist.  In truth, I fancy myself something of an intermediary, and in this blog, I have often tried to reconcile the disparate interests of the two group.  So after reading Taplin’s book, it seemed only appropriate, once again, to update the views I have expressed here in light of some of the points that he made.

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The recorded music industry has entered a new era.  Paid streaming recently passed a symbolic threshold of 100 million listeners, and with ad supported listening included, streaming now accounts for approximately half of all recorded music revenues in the US. Inflection points are opportune times to revisit old assumptions and update hypotheses for what the future still holds. So with all that in mind, I wanted to look back at some of my older posts, now with the benefit of hindsight, and consider some of the latest tech trends influencing where the music industry is headed in this new era. Continue Reading »

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