Skip to main content

Investing in Artificial Intelligence: How MLOps Drives Enterprise AI Wins

Oracle AI/ML WSO2 AI Accelerating AIOps with the Mainframe

Oracle AI/ML WSO2 AI Accelerating AIOps with the MainframeInsight Partners had a banner year in 2021, with more than $50 billion in capital commitments across over 200 investments. While we invest in founders across a wide spectrum of businesses, this series focuses on outlining our theses on four verticals that we’re particularly excited about in 2022: Artificial intelligence (AI), fintech, cybersecurity and healthtech.  […]

The post Investing in Artificial Intelligence: How MLOps Drives Enterprise AI Wins appeared first on DevOps.com.



from DevOps.com https://ift.tt/3o3Mi10

Comments

Popular posts from this blog

AWS Adds Agentic Workspace to Kiro AI Coding Tool

Amazon Web Services (AWS) this week added an open source workspace for its Kiro artificial intelligence (AI) coding tool that enables application developers to asynchronously assign tasks to an AI agent that is capable of autonomously performing tasks, such as testing code as it is created, in a way that maintains context across multiple sessions. Darko Mesaros, a distinguished developer advocate at AWS, said the Kiro Crew workspace is also capable of creating reusable AI skills by observing the tasks developers assign to Kiro as they write code. Kiro Crew orchestrates agents using the Agent Client Protocol (ACP) to ensure every step is observable in real time as sub-agents are spawned. For example, developers can also hand off a ticket queue to Kiro Crew for it to triage issues and flag what needs their attention or ask it to investigate the root cause of an incident while a developer continues to work on another task. An Activity view shows each agent’s reasoning, every tool call,...