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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

We have talked extensively about some of the benefits of AI and machine learning in mobile app development in previous blog posts. However, one of the benefits that we haven’t talked as much about is the application of machine learning for testing new apps during the design process. What Is Automated Mobile App Testing?

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Perform Amazon Kinesis load testing with Locust

AWS Big Data

Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. However, generating a continuous stream of test data requires a custom process or script to run continuously. In our testing with the largest recommended instance (c7g.16xlarge),

Testing 81
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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

Some companies are interested in taking advantage of the benefits of existing AI tools like ChatGPT. The ROI of creating their own AI applications can be massive, but they still need to use them cost-effectively. A study done by Deloitte in late 2022 showed that cost reduction is the top priority for CFOs.

Software 115
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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

Keep on reading to learn a definition, benefits, and a warehouse KPI list with the most prominent examples any manager should be tracking to achieve operational success. Now, let’s look at some benefits to keep putting the power of warehouse key performance indicators into perspective. But how do you know which indicators to track?

Metrics 217
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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Adoption of Copilot so far tends to be in what he refers to as pockets, which matches how McKinsey reports that most gen AI deployments are happening in specific departments: marketing and sales, service and support, and product development. The costs for individual gen AI tasks can be pennies, but even small costs add up.

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How the GoDaddy data platform achieved over 60% cost reduction and 50% performance boost by adopting Amazon EMR Serverless

AWS Big Data

In this journey, we have identified a structured approach that we refer to as the seven layers of improvement opportunities. For example, Adaptive Query Execution in Spark 3 brings significant performance and cost improvements. This methodology has become our guide in the pursuit of efficiency.

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Achieve peak performance and boost scalability using multiple Amazon Redshift serverless workgroups and Network Load Balancer

AWS Big Data

Redshift Serverless auto scales during usage spikes, enabling enterprises to cost-effectively help meet changing business demands. You can benefit from this simplicity without changing your existing analytics and business intelligence (BI) applications. The installation also provides the queries to test the setup.

Testing 81