2019 AI Predictive Analytics 
Smart Data Collective
JULY 17, 2019
Fortunately, new AI technology could alleviate many of these concerns. Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage. This reduces the costs involved.
Smart Data Collective
MAY 21, 2019
Using predictive analytics to optimize digital properties for future trends. In 2019, the already established web development trends will go on evolving and seeping into more areas. Such juggernauts as React and Angular will still be on the top in 2019, but there are also other players to show up.
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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
OCTOBER 11, 2023
AI technology is going to be a lot more important for developing web applications in the near future. This is one of the reasons the AI market is growing by 37% a year. As AI becomes more important for the web, companies are hiring developers to help create the best AI applications. What is Angular?
Smart Data Collective
JULY 22, 2019
A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! One of the reasons the cost is rising is due to an increase in social engineering and AI by savvy hackers. They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively.
Smart Data Collective
JUNE 7, 2019
Fujitsu leads the way with AI solution to better magnetic material geometries. With the new AI models in place, less proficient design experts can create magnetic designs with optimal efficiency. Predictive analytics helps engineers anticipate future applications and the necessary design parameters.
Data Science Blog
NOVEMBER 15, 2023
The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!
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