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How Customer Success Managers Drive Digital Transformation

Before the end of the year, I met with Christina McCoy, a Customer Success Manager for our federal region. We discussed some of her observations and proven practices for driving adoption in her accounts. Christina joined Qlik two years ago; she has over five years of CSM experience and is a graduate of Howard University, where she was a pitcher for the Bison’s softball program.

Most common issues encountered during browser compatibility testing

With the rise in the usage of internet and smartphones, the number of browsers too have increased over the last two decades. Currently, there are multiple browsers across the world and different users use different browsers. Also, every browser has different versions which are in use and you can’t simply assume that your website will look perfect on every browser. So, a website must be compatible across multiple browsers and their different versions in order to gain a significant user base.

How to Get Started With Browser Testing at the earliest

Web Developers frequently come across issues where the developed website or web application does not work as expected on certain combinations of browsers and operating systems. Does this mean that enough effort was not spent in the automation testing process? The possibility is that the web developer and test automation engineer did not do thorough cross browser testing!

AWS re:Invent: Apache Kafka takeaways

If anyone's ever been to AWS ReInvent in Vegas before, you'll know it's a crazy ride. This year we missed out (at least we have cleaner consciences and healthier wallets). But the high quality of content hadn't changed. We've been binging on sessions ‘til the bitter end (it officially ended Friday). So for our community, here is a summary of a few talks related to Apache Kafka.

How to Handle Application_error in ASP.NET App's Global.asax

ASP.NET offers many benefits, such as improved security, easy updating, language independence and less overall code. With that said, .NET is not without errors and issues, even when working with a professional, such as this .NET development company. One common error is an Application_error in the Global.asax file. Let’s understand how to handle ASP.NET App’s Global.asax and other common errors in .NET.

Testlio Announces European and Alliances Expansion Initiatives

Senior executive Tom Chmielewski joins Testlio in London January 18, 2021. London, United Kingdom. Testlio, the originator of networked testing, today announced an important new hire. Tom Chmielewski is now Executive Director, Strategic Development. He will lead Testlio’s sales expansion in Europe while also forging new global alliances.

Handling Large Datasets in Data Preparation & ML Training Using MLOps

Data science has become an important capability for enterprises looking to solve complex, real-world problems, and generate operational models that deliver business value across all domains. More and more businesses are investing in ML capabilities, putting together data science teams to develop innovative, predictive models that provide the enterprise with a competitive edge — be it providing better customer service or optimizing logistics and maintenance of systems or machinery.

How to create 3D Body Maps in Yellowfin BI

One particular feature requested by our customers is 3D body mapping, and whether exporting 3D models and utilizing its visualization and filtering can be applied easily. This technical walkthrough shows you how to leverage Yellowfin to integrate 3D models within Yellowfin and then use them to create a fully interactive display in your dashboard.

7 Best data management tools in 2021

Data is produced and consumed at volumes and speeds which were unimaginable just a decade ago.Top players have taken advantage of this growth. Tapping into data resources for actionable insights - aptly called the new oil - makes data-driven companies dominate their competition. But the proliferation of data can lead to growing pains. Companies find themselves increasingly incapacitated by the vast and messy nature of their in-house data.

Good Testing Data is All You Need - Guest Post

Building machine learning (ML) and deep learning (DL) models obviously require plenty of data as a training-set and a test-set on which the model is tested against and evaluated. Best practices related to the setup of train-sets and test-sets have evolved in academic circles, however, within the context of applied data science, organizations need to take into consideration a very different set of requirements and goals. Ultimately, any model that a company builds aims to address a business problem.