Birst BI

DECEMBER 18, 2018

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

Data Visualization 89

Data Visualization Analytic Tools Artificial Inteligence KPI 89

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

Examples Observing infrastructure cost for when auto-scaling occurs, stopping it in time, using a policy to govern the situation. Observing the cost of a negative impact on the business KPI, when, for example, an algorithm’s quality is starting to deteriorate. in Computer Science with a focus on machine-learning.

Data Visualization 78

Data Visualization Reporting Tools Technical Review Research Software 78

Amplitude

JANUARY 29, 2021

In 2020, we made major investments in core analytics, reimagined our data governance tools, and laid the foundation for personalization at scale. For example, Mindbody used Historical Count to learn that finishing your 5th workout is a critical step for new users to become loyal customers. In turn, we launched Predictive Cohorts.

Data Visualization 52

Data Visualization Analytic Tools Onboarding KPIs Government 52