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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

IDC forecasts that global spending on private, dedicated cloud services — which includes hosted private cloud and dedicated cloud infrastructure as a service — will hit $20.4 billion in 2024, and more than double by 2027.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

As a matter of fact, Python was declared as the most popular language in 2018 , and it will surely grow in the future as well. The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. used for cleaning, manipulating, and analyzing data.

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What AI Means to a Data Scientist

Birst BI

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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What is Automated Machine Learning (AutoML)?

Smarten

Business users can leverage machine learning and assisted predictive modeling to achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze.

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Proven, Rapid ROI Assures Project Funding for Augmented Analytics Projects

Smarten

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

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