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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/09/microsoft-r-at-the-earl-conference.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Slides have now been posted for many of the <a target="_blank" href="https://earlconf.com/london/speakers/">talks given at the recent Effective Applications of the R Language (London) conference</a>, and I thought I'd highlight a few that featured Microsoft R.</p>
<p><a target="_blank" href="https://earlconf.com/london/speaker/02ixu">Chris Cole</a> manages the deployment of R at Investec, supporting investment and risk teams worldwide. Despite some initial grumbling about having to use &quot;old&quot; versions of software, the R developers ultimately appreciated the improvements in collaboration and IT support derived from a standardized &quot;R Suite&quot; company-wide.</p>
<p>  <a target="_blank" href="https://earlconf.com/london/download/?id=02ixu"><img title="R Suite" alt="R Suite" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d21f2a43970c-800wi" border="0"></a></p>
<p>Investec also supports R deployment for other analysts who don't necessarily use R, by integrating R into desktop applications via a centralized DeployR server. This provides managed R-based analytics throughout the company, without the need to manage R on individual desktops.</p>
<p><a target="_blank" href="https://earlconf.com/london/download/?id=02ixu"><img title="Incested DeployR" alt="Incested DeployR" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c8955a68970b-800wi" border="0"></a></p>
<p><strong><a target="_blank" href="https://earlconf.com/london/speaker/1j01n">Adam Rich</a></strong> has been evaluating the in-database capabilities of SQL Server 2016 R Services for <strong>Beazley Group</strong>. In his presentation, he compared and benchmarked various architectures and processes for applying R to data in SQL Server. The results varied by the type of load applied (calculating a mean of 60,000 rows vs 6,000,000 rows); pulling data from SQL to R was faster for the small loads, but pushing R code to the database was better for heavy loads.</p>
<p><a target="_blank" href="https://earlconf.com/london/download/?id=1j01n"><img title="Adamrich" alt="Adamrich" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d21f2ab4970c-800wi" border="0"></a></p>
<p><a target="_blank" href="https://earlconf.com/london/speaker/9drid">Ben Downe</a>, head of business intelligence at <strong>British Car Auctions</strong>, deploys R models developed in-house to the production environment using Azure ML. He describes the benefits of using the &quot;one button API&quot; to publish R functions as a Web service as &quot;simple creation and destruction of new containers for new models / new test versions&quot;, &quot;doesn't need to use IT resources&quot;, and &quot;value for money&quot;. He also described using the <a target="_blank" href="https://azure.microsoft.com/en-us/documentation/articles/machine-learning-custom-r-modules/">Custom R Modules</a> feature of Azure ML to simplify the process of updating R functions in deployment.</p>
<p><a target="_blank" href="https://earlconf.com/london/download/?id=9drid"><img title="BCA" alt="BCA" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d21f2b3a970c-800wi" border="0"></a></p>
<p>You can also check out the slides from my own keynote presentation, <a target="_blank" href="http://www.slideshare.net/RevolutionAnalytics/the-r-ecosystem">The R Ecosystem</a>. There, I suggest why R is such a popular language despite being a language designed for data science (rather than a general purpose language), and having some idiosyncratic features (which seem quirky to some programmers, but make it easier to use for those with a background in data science). In addition to the language itself, there's a lot of value in the ecosystem surrounding R: the community resources, governing bodies, and companies (including Microsoft) who provide services and software to make using R more effective.</p>
<p><iframe height="420" allowfullscreen="" width="510" src="http://www.slideshare.net/slideshow/embed_code/key/2qfXM7ybTEFcVt"> </iframe></p>
<p>For more examples of R applications from the EARL London conference, check out the list of presentations (with slides) at the link.</p>
<p>EARL London: <a target="_blank" href="https://earlconf.com/london/speakers/">Speakers</a></p>
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