Dataconomy
SEPTEMBER 4, 2023
Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.
Smart Data Collective
JANUARY 10, 2023
Every company should clearly understand and plan in detail how the received data will be used further, how it can be distributed, and who will get access to it. Ensure cloud data storage. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.
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ODSC - Open Data Science
JULY 11, 2023
Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Edge data centers: These are data centers that are located closer to the edge of the network, where data is generated and consumed, rather than in central locations.
IBM Journey to AI blog
SEPTEMBER 11, 2023
Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.
IBM Journey to AI blog
MARCH 20, 2024
What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g., Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ).
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