O'Reilly Media

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Bayesian data analysis and Monte Carlo simulations are common in finance and insurance.

Algorithm 101

Algorithm Neural Network Machine Learning Data Scientist 101

Artificial Corner

JUNE 6, 2023

Data per se wasn’t a mainstream industry in its own right yet, so we must first set up data capability and train employees into data engineers, architects and analysts who can operate in this new world. They who achieve this ranking are equal to the likes of Gandalf the Grey! Perhaps even the meaning of life itself?!

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

Marktechpost

JULY 17, 2023

Businesses with actual SAP deployments should consider the tool, especially if they want to develop predictive analytics for use cases in logistics, supply chain, and inventory management. The current product, which debuted in 2015, was set upon two earlier products that were first introduced in 2012.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

AWS Machine Learning Blog

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. Then they can create predictive dashboards with the data. Choose Create policy. For Visual types , choose Donut chart.

ML 80

ML Data Analysis Machine Learning Metadata 80