Data Platform stories
The appointment signals MongoDB's push to win more Australian and New Zealand customers as demand grows for AI systems that can run in production.
The platform will help the carmaker link fragmented records across brands, dealers and service channels to target owners more accurately.
Companies can now tap free, role-based AI and data training from Snowflake, with 30 days of hands-on labs included worldwide.
The new tools could help businesses control AI agents more tightly as Oracle targets lower token use, stronger governance and easier scaling.
Banks and insurers can now run AI models on customer data without sending it to outside providers, easing compliance concerns over sovereignty and resilience.
Insurers could cut rollout delays and tighten controls as the software links AI agents to underwriting and claims workflows already in production.
The deployment should let DeepL's researchers work on larger language models and real-time voice translation with less manual data movement.
Most data programmes fail on culture, not code, with 93.2% of senior executives citing change management as the main barrier to adoption.
Businesses will be able to build data pipelines in a governed environment, as Incorta seeks to cut tool sprawl and reduce AI errors.
Businesses can query data across rival clouds without moving it into Google Cloud first, as the preview aims to speed AI agents and cut duplication.
National security agencies will be able to search hacked, breached and public data alongside mission records without moving it out of their own environment.
The tool aims to cut delays between analysis and campaign action, letting marketers approve AI-suggested steps inside existing systems.
Enterprises could get more dependable AI agents as Dell's update ties internal data to context, governance and faster processing inside customer systems.
Bad email data can quietly damage deliverability, campaign reporting and revenue unless businesses pick an API that fits their workflows.
The new features aim to help enterprises govern data better and move AI agents into production while keeping sensitive records in their own data centres.
Customers can now run AI agents with built-in memory and governance as MongoDB tries to move them from pilots into daily use.
The partnership aims to close a data gap in agriculture, with less than five per cent of useful information now being analysed for new insights.
The new services promise to trim repeated model calls and deployment delays as firms struggle to make AI agents economical at scale.
New controls aim to keep sensitive data usable in AI systems while reducing re-identification risk and improving recovery after outages or attacks.
The funding will help the London start-up expand into wind and CHP assets as it seeks to replace spreadsheet-based energy operations across Europe.
