Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.

Data Visualization 73

Data Visualization Artificial Inteligence Analytic Tools Reporting Tools 73

The Product Coalition

DECEMBER 5, 2019

Many companies are already starting to offer solutions for this group of people, with data-scientists as the main focus. A revolution in observability that has risen due to new technology from companies such as New Relic. In terms of cost, maintaining core-DS production is quite expensive.

Data Visualization 78

Data Visualization Reporting Tools Technical Review Research Software 78

Userzoom

DECEMBER 11, 2019

My prediction (and hope) for 2020 is that information on the environmental impact of a product or service will be more readily available to the consumer. UX Researcher, Professional Services. With technology being integral to our everyday lives, we shouldn’t be excluding anyone. Becky Wright, Senior Product UX Researcher.

Data Visualization 92

Data Visualization User Testing UX Research Software 92

Birst BI

MAY 14, 2019

This is why it is all too common for an organization to utilize at least two different Business Intelligence (BI) tools to support these different analytic needs. Dresner Advisory Service’s 2018 Wisdom of Crowds® Business Intelligence Market Study. What was your vision for Birst 7? How was it different from Birst 6?

Data Visualization 9

Data Visualization Analytic Tools Reporting Tools Government 9