Smart Data Collective
MARCH 29, 2019
In 2019, crypto scams where the most common type of online security breaches. CIO reports that CryptoLocker was one of the worst ransomware attacks of 2019. New advances in predictive analytics are helping solve many of these threats. Rather, it is due to the fact that the algorithms are simply different.
Smart Data Collective
JANUARY 14, 2021
In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms. Investors taking advantage of predictive analytics could have more success choosing winning IPOs.
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Dataconomy
SEPTEMBER 4, 2023
Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.
Smart Data Collective
SEPTEMBER 7, 2021
Such predictive analytics can help to define what products will spike the biggest interest of the audience. In dynamic pricing strategy, algorithms examine competitor’s pricing and inventory current levels and select the best price that allows retail industry players to stay competitive and gain profit. Source: ELEKS.
Smart Data Collective
JULY 1, 2019
In 2019, a large number of crimes are solved and prosecuted with video evidence. So if past practice has been to discriminate against women or minorities, any algorithm fed on previous experience will continue this pattern, but this time with the apparent authority of science behind it. This is not a new phenomenon.
Smart Data Collective
JUNE 12, 2019
Machine learning tools are able to understand the newest threats and use the latest algorithms to combat them, as Kaspersky Lab pointed out in a recent white paper. Gmail security needs to be one of your biggest concerns in 2019. Be grateful that big data is improving email security in 2019!
Smart Data Collective
NOVEMBER 18, 2020
The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data mining is an automated data search based on the analysis of huge amounts of information.
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