Dataconomy

APRIL 10, 2023

This is the world of the Industrial Internet of Things (IIoT). IoT, or the Internet of Things, refers to a network of physical objects, devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, enabling them to collect and exchange data with other devices and systems over the internet.

Internet of Things 79

Internet of Things Azure Analytics Analytics 79

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

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. Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

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 112

Cloud Computing Internet of Things Big Data Big Data 112

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.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 is a proven, versatile, and AI-ready solution. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. trillion instructions per day.

Database 101

Database SQL Data Warehouse Machine Learning 101

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 120

Internet of Things Algorithm Azure Artificial Intelligence 120

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. Types, Facts, Benefits – A Complete Guide appeared first on Pickl AI.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

IBM Journey to AI blog

JANUARY 29, 2024

By using AI, automation, and hybrid cloud, among others, organizations can drive intelligent workflows, streamline supply chain management, and speed up decision-making. Artificial intelligence – Artificial intelligence , or AI, is a digital technology that uses computers and machines to mimic the human mind’s capabilities.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85

IBM Journey to AI blog

FEBRUARY 6, 2024

There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. Digital transformation: Leverage vast amounts of compute to process big data and harness the latest technologies like generative AI and machine learning (ML).

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Defined.ai blog

SEPTEMBER 5, 2023

Specifically, retail sales data is emerging as a goldmine for businesses looking to leverage AI. But what exactly is retail sales data, and why is it taking center stage in AI advancements? With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

IBM Journey to AI blog

AUGUST 6, 2024

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. Specifically, serverless helps enable something called event-driven AI, where a constant flow of intelligence informs real-time decision-making capabilities.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. AI-powered Power BI projects make this a reality. NLP-powered AI within Power BI can analyze this data, gauging customer sentiment and brand perception.

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Power BI Data Analysis Data Analysis Data Visualization 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. The post A Simple Guide to Real-Time Data Ingestion appeared first on Pickl AI.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

ODSC - Open Data Science

JULY 11, 2023

1] The typical application familiar to readers is much more recent, when AI operates as chatbots, enhancing or at least facilitating the user experience on many websites. Recently, however, conversational AI has taken a giant leap forward. Why Use AI to Learn About Data Centers and How Does It Work?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

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

ODSC - Open Data Science

JULY 25, 2023

What Can AI Teach Us About Data Centers? Increased Automation and Artificial Intelligence (AI): Automation and AI will be increasingly used to optimize data center operations, such as monitoring and management of the infrastructure, power, and cooling. This can make it less necessary for companies to have their own data center.

AI 52

AI AI Cloud Computing Artificial Intelligence 52

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

Pickl AI

DECEMBER 2, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 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

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 Models Data Modeling Data Warehouse 52

Dataconomy

APRIL 2, 2025

The Internet of Things (IoT) is one of the fastest-growing technologies, connecting devices and systems in once unimaginable ways. You can manage data streams without compromising performance with the right platform, like AWS IoT, Microsoft Azure IoT, or Google Cloud IoT.

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Internet of Things AWS Azure AI 103