Learn how n8n, a powerful self-hosted automation platform, can replace expensive third-party services like Zapier.

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Data centers have caused the demand for gas-fired power in the US to explode over the past two years, according to new research released Wednesday. More than a third of this new demand, the research ...

Two vulnerabilities in the n8n workflow automation platform could allow attackers to fully compromise affected instances, access sensitive data, and execute arbitrary code on the underlying host.

Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Threat actors were spotted weaponizing the n8n automation ecosystem this week, slipping malicious npm packages into its marketplace of community-maintained nodes. The deceptive packages, disguised as ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

{{ .fieldName }} // Get field from current item +{{ ["field with spaces"] }} // Field names with spaces/special chars +Stop searching through documentation! This ...

The effort is drawing bipartisan support and is expected to come up again next year as officials grapple with the artificial intelligence boom’s side effects. States facing drought and dwindling ...

Power demand from US data centers is set to surge to 106 gigawatts by 2035, according to BloombergNEF, a 36% increase from the research provider’s previous outlook in April. The upward revision in ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...