Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Dataconomy

JULY 11, 2024

AI and machine learning integration AI in mobile apps Artificial Intelligence (AI) is transforming mobile apps by enabling personalization, predictive analytics, and enhanced user experiences. Cloud platforms like AWS, Google Cloud, and Microsoft Azure provide tools and services that simplify app development and deployment.

Azure 103

Azure Machine Learning Machine Learning AWS 103

IBM Journey to AI blog

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Provisioning, scaling, and redundancy control are managed automatically.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

JUNE 18, 2024

This empowered users to go beyond basic visualizations and perform advanced analytics tailored to their specific needs. Furthermore, Power BI’s integration with Azure Machine Learning allows users to incorporate AI and machine learning capabilities into their reports and dashboards.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

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. Predictive analytics: Streaming data can be used to train machine learning models in real-time, which can be used for predictive analytics and forecasting.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72