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7 Possible Cross Browser Testing Solutions for Data-Savvy Businesses

Smart Data Collective

” One of the most important ways that they can utilize big data is through cross browser and device testing. Lack of Testing on Real Devices. Data analytics has made it easier to use virtual machines for testing. Unfortunately, many developers do not test their code on real devices and browsers. Broken Links.

Testing 115
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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Like other internet-available services, AI models are not static artifacts, but dynamic systems that interact with their users. Operational Metrics.

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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

From the morning email blitz to the late-night Slack message bombardment, discover the joy of sprinkling a little blame in every interaction. Why bother with regression testing and impact checking when you can deploy and deflect? In this module, we expand your palate, allowing you to savor the flavors of blame throughout the day.

Analytics 190
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Generative AI use cases for the enterprise

IBM Big Data Hub

The compact design and touch-based interactivity seemed like a leap into the future. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks.

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Fearing the Wrong Thing

O'Reilly on Data

Some of that time is spent in pointless meetings, but much of “the rest of the job” is understanding the user’s needs, designing, testing, debugging, reviewing code, finding out what the user really needs (that they didn’t tell you the first time), refining the design, building an effective user interface, auditing for security, and so on.

Testing 248
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Application modernization overview

IBM Big Data Hub

Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security. Subsequent phases are build and test and deploy to production. Swagger files), component relationship diagram and component interaction diagrams.

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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

It requires careful analysis of all processes, and in many cases changes to how individual process operate and interact. Process optimisation: processes are examined, re-engineered, standardised and carefully tested prior to being automated processes.