Machine learning will change the business intelligence analysis application

As advances in artificial intelligence (AI) and machine learning technologies will make data preparation, discovery, analysis, forecasting, and data-based decision making easier, helping operators make their operational processes more intelligent. .

According to reports, the obvious trend of business intelligence (BI) and analytics technology in the past 10 years is towards self-service, but the future is expected to change, because from 2018, the intelligent functions driven by ML and AI will gradually increase. To help the outside world escape the limitations of the era of self-service.

Machine learning will change the business intelligence analysis application

At present, machine learning has emerged in five fields, such as data preparation, discovery, analysis, prediction, and AI-based convention applications (prescripTIve applicaTIon). It is also expected that after 2018, machine learning will be seen as a message for the task of data cleansing and combining data, discovering new data and data integration recommendations.

Non-technical business users will be driven by machine learning to drive the best data visualization recommendations, and automated model capabilities will also help non-technical business users take advantage of predictive analytics.

However, many business users are more interested in actions and results, and therefore better use the customary application of machine learning that begins to emerge, and their decisions will be introduced into commercial applications such as sales, marketing, human resources, supply chain, logistics, etc. The analysis is converted into the recommended next action or automatically generates behavior that will bring out the expected result.

The review pointed out that these emerging features will make analysis and data-driven decision making easier for non-technical business users to acquire, understand and implement, but the practice is not one day. Therefore, providing transparent, understandable and trusted AI will be the key to the success of intelligent systems.

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