BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. WNS is a leading utility company, which put predictive analytics to use.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smart Data Collective

DECEMBER 9, 2020

Consumers are also looking for new machine learning tools to help mitigate their daily risks and solve some of their most perplexing challenges. In 2017, the university forged a partnership with Microsoft and the city of Bellevue. They learn to identify numerous risk factors and alert the driver.

Machine Learning 141

Machine Learning Risk Insurance Predictive Analytics 141

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.

Predictive Analytics 135

Predictive Analytics Analytics Forecasting Machine Learning 135

Smart Data Collective

JULY 17, 2019

In 2017, the number of seniors over the age of 65 reached a record 1 billion people. 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.

Cost-Benefit 83

Cost-Benefit Machine Learning Advertising Risk 83

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. For inspiration, check out the list of 2017 Data Impact Award winners. We are excited to kick off the 2018 Data Impact Awards

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Smart Data Collective

DECEMBER 23, 2019

But while choosing open source code is important from a competitive perspective, that doesn’t mean it’s a simple or risk-free choice. From predictive analytics to vulnerability databases, businesses already have access to everything they need. Predicting Problems. The shift towards containers is one example of this.

Software 54

Software Management Predictive Analytics Risk 54