IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Birst BI

DECEMBER 18, 2018

Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more. What happens next is a treasure hunt in identifying the drivers of the KPI’s behavior. Join us to find out how Birst is reshaping the landscape of BI and analytics once again.

KPI 89

KPI Analytics Machine Learning Dashboards 89

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. Every data set, every data KPI, or every data field is as important as the app,” she says. Yes, the data is key. But the big unlock is MLops.

Digital Transformation 122

Digital Transformation IoT Data-driven KPI 122

Smarten

JUNE 10, 2022

As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future. KPIs allow the business to establish and monitor KPIs for objective metrics.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Sisense

MAY 12, 2019

Start by listing your KPIs. You should have at least one KPI for every part of your product cycle; planning, development, testing, deployment, release, and monitoring. Don’t overlook adding a few KPIs for the active cooperation between different teams (since this is the heart of the DevOps culture). Getting Started.

Analytics 79

Analytics Dashboards KPI Measurement 79

datapine

MARCH 31, 2022

They use advanced technologies such as machine learning models to generate predictions about future business performance. It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. 1] Until then, we observe in another Gartner survey that organizations are outsourcing various tasks in the Machine Learning pipeline. [2].

Machine Learning 73

Machine Learning Data Science Testing Metrics 73