CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Analytics 338

Analytics Data Analysis Business Analytics 338

Datavail

MARCH 31, 2022

Today’s thriving companies are embracing emerging data analytics programs to upgrade their business modeling technology from systems maintenance to value creation. Analytics as an Operational Tool. The post Achieving Business Analytics Success appeared first on Datavail. Contact us today.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

Cloudera

MAY 27, 2021

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. Big data and AI amplify the problem. The public at large doesn’t know how algorithms work, so when technology acts in unexpected ways, it frustrates users. It’s not the machine’s fault.

Artificial Inteligence 117

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 117

The Accidental Successful CIO

MAY 12, 2021

Understanding Business Intelligence vs. Business Analytics. Business intelligence tools provide insights into the current state of the business or organization: where are sales prospects in the pipeline today? It also gets to the heart of the question of who business intelligence is designed for.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. AMPs are a revolutionary way to accelerate your ML initiatives.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59