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AI Has an Uber Problem

O'Reilly on Data

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Venture capitalists don’t have a crystal ball. The capital-fueled race to build the largest models has already led to bad behavior.

Marketing 154
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. By late 2009, that experiment was a success, too; they'd climbed back up to 4.5 Online, offline or nonline. Yet this structure rarely exists in companies.

Metrics 156
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. As the O’Reilly surveys and other recent reports have demonstrated, the state of “Product Management for AI” is still barely even evolved to a primordial soup stage.

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5 + 4 Actionable Tips To Kick Web Data Analysis Up A Notch, Or Two

Occam's Razor

We lovingly craft reports every day. My hope in this post is to share some simple tips with you that might make your reports and analysis speak to you a bit more. Look at your most important work / report / dashboard. We do reports / dashboards like this one all the time: Ok great. And so on and so forth. I need someone.

Metrics 96
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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. 6) Smart and faster reporting.