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

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. An off-the-shelf product straight from the vendor can fit your business requirements. Oracle HCM Cloud. Oracle SCM and Manufacturing Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight.

Cloud 40

Cloud Azure Big Data Storage 40

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Only having all the company data in one system would allow for accurate analysis. Cost control.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

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