AI Articles and Analysis about Predictive analytics and forecasting

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.

Managing Model Development@2x-min

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.

Artificial Intelligence at DHL@2x-min

Artificial Intelligence at DHL – Two Applications at the World’s Largest Logistics Company

DHL is a German logistics company that offers parcel delivery, express mail, freight forwarding, and third-party logistics. Its parent company is Deutsche Post (‘DPDHL’), the world’s largest logistics enterprise, operating in over 220 countries and employing more than 510,000 people worldwide. 

The Importance of NLP in Insurance@2x-min

The Importance of NLP in Insurance – with Gero Gunkel of Zurich Insurance

Although not often regarded as a technological first-mover, the insurance industry has recently seen robust, even rapid, adoption and deployment of AI capabilities, particularly in those related to natural language processing (NLP). 

Making AI Come 
to Life in Heavy 
Industry@2x-min

Making AI Come to Life in Heavy Industry – with Nikunj Mehta of Falkonry

While the steel industry may not be synonymous with AI adoption, steel manufacturers are not different from any other business in ensuring efficiency in their output and throughput. There are almost certainly opportunities for AI implementation across an industry worth hundreds of billions of dollars that currently lags behind in adopting AI technology.