Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.

Data 69

Data Machine Learning Artificial Inteligence Analytics 69

AWS Machine Learning - AI

JUNE 26, 2024

He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT. Sovik has published articles and holds a patent in ML model monitoring.

Artificial Inteligence 110

Artificial Inteligence Research Knowledge Base Applications 110

Altexsoft

JULY 3, 2020

The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. The adoption of, say, IoT devices gave us new ways to collect and process data. Machine learning allowed hotels and rental services to personalize offers and services.

Technical Review 76

Technical Review Technology Hotels Systems Review 76

Cloudera

JANUARY 14, 2021

Cloudera recognizes ten top retail IoT use cases that are transforming brick and mortar stores, as you can see below, and they are transforming all aspects of the retail experience. Traditional retailers now have access to an entirely new data monetization opportunity that many have been missing out on for years.

Retail 71

Retail Agile Analytics Storage 71

Kaseya

MAY 13, 2021

Some of the key functionalities that Azure offers include: Computing power Database storage Content delivery network (CDN) Caching Business Analytics SQL database Virtual services Application and infrastructure migration Media services Mobile services. According to Forbes, 63% of enterprises are currently running apps on Azure.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

DECEMBER 17, 2020

This retailer leveraged Cloudera enterprise data management solutions that provided micro-data on shopper location enabling in-store analysis, similar to the insight gleaned from the online portion of their business.

Retail 59

Retail Apparel Analytics Enterprise 59

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Streaming, IoT, and time series mature.

Conference 8

Conference Data Data Engineering Big Data 8

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. IoT devices data. Picture source: Stellar.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Sunflower Lab

APRIL 2, 2024

Use Cases of Power BI Predictive Analytics in Different Industries Use Case: Predictive Maintenance in Healthcare Business Scenario: A hospital aims to reduce equipment downtime and maintenance costs by implementing predictive maintenance.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40