IBM Journey to AI blog

FEBRUARY 6, 2024

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications. Google Workspace, Salesforce).

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

IBM Journey to AI blog

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet. virtual machines, databases, applications, microservices and nodes).

Cloud Computing 117

Cloud Computing Machine Learning Machine Learning Big Data Analytics 117

Pickl AI

MARCH 11, 2025

Cloud Computing provides scalable infrastructure for data storage, processing, and management. Both technologies complement each other by enabling real-time analytics and efficient data handling. Cloud platforms like AWS and Azure support Big Data tools, reducing costs and improving scalability.

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

Mlearning.ai

JANUARY 26, 2023

Some key publications of interest on the topic of Data Cubes include MDPI Special Issue “Earth Observation Data Cubes” and the book Big Data Analytics in Earth, Atmospheric and Ocean Sciences. On-demand processing of data cubes from satellite image collections with the gdalcubes library. Data, 4(3), 92.

AWS 98

AWS Database Data Science Clean Data 98

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. Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

IBM Journey to AI blog

SEPTEMBER 4, 2024

Speed Kafka’s data processing system uses APIs in a unique way that help it to optimize data integration to many other database storage designs, such as the popular SQL and NoSQL architectures , used for big data analytics.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

IBM Journey to AI blog

AUGUST 12, 2024

Serverless and microservices solutions are offered by all the leading cloud computing technology companies, including Microsoft (Azure), Amazon (AWS Lambda), IBM and Google Cloud. Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for data applications.

Cloud Computing 45

Cloud Computing Database Artificial Intelligence Artificial Intelligence 45

DagsHub

NOVEMBER 11, 2024

This metadata will help make the data labelling, feature extraction, and model training processes smoother and easier. These processes are essential in AI-based big data analytics and decision-making. Data Lakes Data lakes are crucial in effectively handling unstructured data for AI applications.

AI 52

AI AI Data Lakes Database 52

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., Analytics With the rise of data collected from mobile phones, the Internet of Things (IoT), and other smart devices, companies need to analyze data more quickly than ever before. What is a public cloud?

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Embrace Cloud Computing Cloud computing is integral to modern Data Science practices. Additionally, familiarity with cloud platforms (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52