Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. They are harnessing the power of the Industrial Internet of Things (IIoT) and edge computing to optimize processes, increase efficiency, and reduce downtime.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Pickl AI

MARCH 1, 2023

Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

ODSC - Open Data Science

JULY 19, 2023

This resulted in a wide number of accelerators, code repositories, or even full-fledged products that were built using or on top of Azure Machine Learning (Azure ML). The Azure data platforms in this diagram are neither exhaustive nor prescriptive. Creation of Azure Machine Learning workspaces for the project.

Machine Learning 52

Machine Learning Machine Learning Azure ML 52

Pickl AI

JULY 24, 2023

Real-Time Data Ingestion Examples Here are some examples of real-time data ingestion applications: Internet of Things (IoT) Devices: IoT devices generate a vast amount of data, such as temperature, humidity, location, and sensor readings.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

Dataconomy

SEPTEMBER 4, 2023

IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment. Cloud platforms like AWS, Azure, and Google Cloud offer scalable resources that can be provisioned on-demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Defined.ai blog

SEPTEMBER 5, 2023

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Microsoft Azure Machine Learning : A comprehensive suite by Microsoft, it allows businesses to build, train, and deploy AI models using retail sales data.

AI 52

AI AI Machine Learning Machine Learning 52

phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. However, this can be time-consuming and prone to human error, leading to misinformation. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

The MLOps Blog

FEBRUARY 5, 2023

Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time. Internet of Things : Streaming data is important for IoT device communication and data collection, it allows devices to send and receive data in real-time and helps in more accurate and efficient decision making.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Smart Data Collective

JANUARY 10, 2023

Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. 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. Find the way to work with IoT data in the most efficient way.

Business Intelligence 109

Business Intelligence Business Intelligence Internet of Things Azure 109

IBM Journey to AI blog

JANUARY 29, 2024

Even relatively simple, everyday objects now routinely generate data on their own thanks to Internet of Things (IoT) functionality. Popular Desktop as a Service (DaaS) products include Azure Virtual Desktop from Microsoft and its Windows VDI. The same basic situation also plagues the world of IT.

Internet of Things 109

Internet of Things Algorithm Azure Artificial Intelligence 109

ODSC - Open Data Science

JULY 25, 2023

Advancement in Cloud Computing and Edge Computing: With the increasing popularity of cloud computing, more and more organizations are turning to cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform to store and process their data.

AI 52

AI AI Cloud Computing Artificial Intelligence 52

ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Smart Data Collective

SEPTEMBER 21, 2021

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

Data Quality 103

Data Quality Data Pipeline Database Internet of Things 103

IBM Journey to AI blog

JANUARY 29, 2024

Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload. This operating model increases operational efficiency and can better organize big data.

Artificial Intelligence 72

Artificial Intelligence Artificial Intelligence Internet of Things AWS 72

ODSC - Open Data Science

JULY 11, 2023

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. General availability of Azure OpenAI Service expands access to large advanced AI models with added enterprise benefits, on [link] 4.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

IBM Journey to AI blog

FEBRUARY 6, 2024

Here’s a rundown of the most common cloud computing services available from the major CSPs—Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—and other cloud services providers like VMware : Software-as-service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software (e.g.,

Cloud Computing 106

Cloud Computing Big Data Big Data AWS 106

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. The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT).

Database 89

Database SQL Data Warehouse Machine Learning 89

Hacker News

JULY 18, 2023

Extending the MERGE superpower in Citus 12 Schema-based sharding is super exciting and the biggest enhancement in Citus 12, but we also continue to improve Citus for other scenarios, including row-based multi-tenancy and Internet-of-things (IoT) scenarios. is just released, it is not yet available on Azure but it will be soon.

Database 123

Database SQL Data Modeling Data Models 123

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 79

Cloud Computing Internet of Things Azure Artificial Intelligence 79

Dataconomy

APRIL 4, 2023

Microsoft Azure:   Microsoft Azure is another major player in the cloud computing space, providing a range of Anything as a Service solutions, including IaaS, PaaS, SaaS, and Data as a Service (DaaS).

Cloud Computing 70

Cloud Computing Internet of Things Azure Artificial Intelligence 70

IBM Journey to AI blog

MARCH 20, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. What is a public cloud?

Cloud Computing 96

Cloud Computing Internet of Things Big Data Big Data 96

Alation

AUGUST 2, 2022

Delivering a smart, automated network with advances in 5G and internet of things (IoT) technology. Internally, Spark was able to democratize data, creating a single source of customer data by integrating Microsoft Azure, Snowflake, and Alation’s data catalog.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52