Business Analytics Business Intelligence Deep Learning Enterprise 
CIO Business Intelligence
JUNE 7, 2022
The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
CIO Business Intelligence
MARCH 9, 2022
Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.
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FineReport
OCTOBER 21, 2019
With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. From Google.
Domino Data Lab
JULY 22, 2019
If you were to go out 10 years ago and talk about the importance of machine learning in industry – and I was out there doing that – you’ll get a lot of pushback. But for most enterprise, using machine learning…not really. You know, companies like telecom and insurance, they don’t really need machine learning.”
O'Reilly on Data
SEPTEMBER 11, 2019
Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Deep learning,” for example, fell year over year to No.
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