2014 Forecasting Predictive Analytics 
Smart Data Collective
JULY 28, 2022
Fortunately, new predictive analytics algorithms can make this easier. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed.
Smart Data Collective
APRIL 28, 2019
New advances in predictive analytics will help mobile app developers navigate these changes and develop better technology to adapt. Predictive analytics is especially important for developers creating apps in emerging markets. Predictive analytics captures rapidly changing variables in an increasingly global world.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
JULY 2, 2019
Most forecasts indicate that it is going to increase. A World Energy Outlook report concludes that global wind energy capacity will increase between 2014 (762 TWh) and 2020 by 85% to about 1,400 TWh. Big data is going to be essential to help them meet those demands.
Jedox
OCTOBER 8, 2020
It also underscored the importance of creating data-driven modeling capabilities, and developing the people, processes, mindset and technology to create a true culture of analytics within our organizations. The oil collapse of 2014 is another example of the importance of scenario planning.
IBM Big Data Hub
AUGUST 7, 2023
This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.
Expert insights. Personalized for you.
145 
Let's personalize your content