Remove 2019 Remove Experimentation Remove Reporting Remove Statistics
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck. Why experiment with several parameters concurrently?

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How Do Super Rookies Start Learning Data Analysis?

FineReport

Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. You can complete real-time report through simple drag and drop operations. It can produce a variety of complex reports. Reporting of FineReport.

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Reflections on the Data Science Platform Market

Domino Data Lab

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., Reflections. Code-first data science platforms.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. LogMeIn’s Forrester Survey Reports AI Widens Gap Between Customer Experience and Marketing Teams: [link].

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Stay Agile in a Shifting Manufacturing Market With Longview Tax

Jet Global

These changes create an ever-increasing demand on manufacturing tax departments to report on cross-border situations and transactions. Manufacturing organizations will succeed if they can adapt quickly to shifting supply chains and maintaining agility in reporting.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. What are you most looking forward to about CDAOI Insurance 2019? And more recently, we have also seen innovation with IOT (Internet Of Things). And then there is the Cloud.

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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.