In our LLMOps blog series, we’ve explored various dimensions of Large Language Models (LLMs) and their responsible use in AI operations. Elevating our discussion, we now introduce the LLMOps maturity model, a vital compass for business leaders.
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We’re dedicated to documenting and sharing our learnings and best practices with the developer community so they can make responsible AI implementation practical for their organizations.
With new developments like Copilot in Microsoft Cost Management and Microsoft Fabric, there couldn’t be a better time to take a fresh look at how you manage cost within your organization and how you can leverage the FinOps Framework and the FinOps Open Cost and Usage Specification (FOCUS) to accelerate your FinOps efforts.
The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.
For our own troubleshooting needs, the Azure Data Explorer team wanted to run ad-hoc queries on the massive telemetry data stream produced by our service. Finding no suitable solution, we decided to create one.
Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
Accenture hat sich darauf konzentriert, Daten für die Schaffung von Geschäftswert zu nutzen. In Zusammenarbeit mit Microsoft soll ein vollständig integrierter Ansatz mithilfe von OSDU Data Platform entwickelt werden, um die digitale Transformation zu beschleunigen.
With Microsoft Energy Data Services, energy companies can leverage new cloud-based advanced data visualization capabilities for geoscientists provided by INT and Microsoft Energy Data Services.
Azure for Operators is introducing a network analytics solution accelerator program, providing a standardized approach to data acquisition and visualization that aids operators on their journey toward complete end-to-end AI Operations (AIOps).
Microsoft Energy Data Services is a data platform fully supported by Microsoft that enables efficient data management, standardization, liberation, and consumption in energy exploration. The solution is a hyperscale data ecosystem that leverages the capabilities of the OSDU Data Platform, Microsoft's secure and trustworthy cloud services, and our partners’ extensive domain expertise.