Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Your company has thousands of databases and 14,000 business intelligence users. Kafka, MQTT, drone data, weather feeds, IoT sensor readings. business intelligence.]. Reading Time: 5 minutes. Imagine you’re a data engineer at a Fortune 1000 company. Easy, right? Sometimes, but it’s getting harder.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. It’s more accessible and easier to work with, making it ideal for analytics, business intelligence, and machine learning tasks.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

MAY 6, 2022

Shippers, carriers, and consignees alike want to have access to monitoring data for quality assurance and performance assessment. To allow for receiving live updates, they have to be connected into an IoT infrastructure. A typical IoT infrastructure for cold chains includes. Typical IoT architecture in cold chains.

Transportation 52

Transportation How To Pharmaceuticals Storage 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Measuring and reporting to management on data quality assessment results and ongoing data quality improvement. Documenting the ROI of data quality activities.

Tools 16

Tools Data Technical Advisors Technical Review 16

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. Many integration tools can also support alternate sources such as streaming data and Internet of Things (IoT) devices. Quality assurance (QA) and testing services.

Data 40

Data Nonprofit Quality Assurance Education 40