EPFL scientists have developed a model that can predict when a systemic shift is about to occur. Their model, called Giotto-tda, is available as an open-source library. It can help analysts identify when events like stock-market crashes are about to happen. The scientists tested the model on the stock- market crashes in 2000 and 2008. The data contained in these sets feed the model's machine-learning algorithm, improving the accuracy of its predictions and providing warning signs.
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Having data is not enough if you have to run a business. Businesses need to know what they have to work on and how they can take this data for leverage. Here are the major tools and software that one can use to visualise the data and use it for their leverage. Tableau, Segment, iDashboards and GoodData are great for manufacturing data that work on removing the bottleneck from the business whereas Sisense is mainly used in the healthcare industry to get a better understanding of the data.
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Real-time data is all part of a modern data strategy. Large corporations and Fortune 500 companies depend on this data to be able to predict consumer tastes. Real-time analytics are becoming more popular as well as more feasible for companies of all sizes. Although these systems are often much more difficult to implement compared to daily batch jobs, there are many cases in which the ROI is worth it.
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86 percent of survey respondents say they accelerated digital transformation projects in 2020 due to the pandemic. Many have regrets about not transitioning sooner, and they face potential roadblocks. About a quarter of survey respondents expect their organizations will experience negative growth in 2021. Another potential roadblock to digital transformation is lack of support from C-suite executives, report says.
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