Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. You will be charged a fee for technical support based on the package you opt for, namely developer, business or enterprise. Microsoft Azure Overview. Charges for Technical Support.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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

Datavail

SEPTEMBER 17, 2019

More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions. Some common use cases, or “giant ideas” which can be mobilized quickly with a MongoDB Atlas deployment include: Gaining visibility across enterprise datasets in multiple cloud environments.

Cloud 40

Cloud Azure Big Data Storage 40

Trigent

AUGUST 23, 2023

In the wake of hyper-digitization, manufacturers are leveraging advanced technologies like RPA, IoT, and AI to make their processes more efficient. The requirement of each manufacturing business is different based on industry & target customers, but many of their back-end processes are similar.

Generative AI 52

Generative AI Innovation Artificial Inteligence Off-The-Shelf 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Streaming, IoT, and time series mature.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

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. Microsoft Azure services. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13