Abstract: Accurately clustering and labeling anomalous time series load data from large databases remains challenging due to close similarity and subtle deviations between each observation. This paper ...

Reliance on fossil fuels is almost unavoidable — at least for now. By Evan Gorelick It’s been a big week for A.I. data centers. That means it’s also been a big week for coal and natural gas. Nvidia ...

Abstract: In this manuscript, we structure a method for generating synthetic load data using historical timeseries from the Independent System Operator of New England (ISO-NE) for IEEE benchmarking ...

Gain insights from all your data by querying across your entire data estate—SQL Server, Azure SQL Database, Azure SQL Data Warehouse, Azure Cosmos DB, MySQL, PostgreSQL, MongoDB, Oracle, Teradata, and ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

This lab guides you through the process of creating and loading a data warehouse in Microsoft Fabric using T-SQL. You will create a workspace, a lakehouse, ingest data, create warehouse tables and ...

One important fact that business leaders of today are well aware of is that “data” is the glue holding this digital ecosystem together. Yet, data presents the biggest hurdle for many companies in ...

Rumors online have suggested for months that Microsoft could be using your Word data to train its artificial intelligence (AI) and large language models (LLMs). Microsoft, however, says it doesn't use ...