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Generative AI: A paradigm shift in enterprise and startup opportunities

CIO Business Intelligence

Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. Software and product development : Generative AI will simplify the entire development cycle from code generation, code completion, bug detection, documentation, and testing.

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Structural Evolutions in Data

O'Reilly on Data

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can see a simulation as a temporary, synthetic environment in which to test an idea.

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. Usually at least a test. This is sad. Usually for free.

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The biggest enterprise technology M&A deals of the year

CIO Business Intelligence

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. It will add it to its Spot by NetApp portfolio, the collection of SaaS tools built around the cloud management and cost optimization company it bought in 2022. Microsoft buys Minit to optimize process automation.

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Why Data Driven Decision Making is Your Path To Business Success

datapine

By leveraging the wealth of digital insights available at your fingertips and embracing the power of business intelligence , it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line. The importance of data in decision lies in consistency and continual growth.