Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. But it magnifies any existing problems with data quality and data bias and poses unprecedented challenges to privacy and ethics.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

CIO Business Intelligence

APRIL 11, 2022

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. Just starting out with analytics? Find out more about Intel advanced analytics.

Deep Learning 57

Deep Learning Strategy Risk Data Quality 57

CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Unstructured Data 87

Unstructured Data Deep Learning Insurance Interactive 87

Cloudera

MAY 28, 2019

Particularly with continuing rapid evolution of open source and commercially available algorithms or even pre-trained models, the importance of slashing time spent on data gathering and pre-processing only grows. And once a model has been trained, tuned and optimized, data scientists want to put it to work for the business ASAP.

Data Science 49

Data Science Machine Learning Data Strategy Cost-Benefit 49