IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 119

Data Analytics Analytics Data Warehouse Data Lake 119

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Applied Analytics. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54