Benedikt Mertes

As artificial intelligence intersects with physical systems, we’re witnessing a transformative shift in how businesses operate across various industries. This new realm of Physical AI, where intelligent algorithms interact with the tangible world, opens up significant avenues for innovation and…

Salesforce’s AI Platform team has enhanced its machine learning operations by integrating Amazon Bedrock Custom Model Import. This innovative move allows Salesforce to deploy customized large language models (LLMs) with reduced operational overhead and improved efficiencies. Previously, managing LLMs involved…

As artificial intelligence intersects with physical systems, we’re witnessing a transformative shift in how businesses operate across various industries. This new realm of Physical AI, where intelligent algorithms interact with the tangible world, opens up significant avenues for innovation and…

In the healthcare sector, effectively analyzing and interpreting medical reports is essential for healthcare providers and patients alike. Despite their valuable content, many medical reports remain underused due to complexity and lengthy analysis processes. To tackle this issue, we have…

In the healthcare sector, effectively analyzing and interpreting medical reports is essential for healthcare providers and patients alike. Despite their valuable content, many medical reports remain underused due to complexity and lengthy analysis processes. To tackle this issue, we have…

Innovaccer has launched the Innovaccer Gravity platform, powered by Amazon Bedrock AgentCore, significantly modernizing fraud prevention and real-time inference in healthcare. This new technology integrates agentic AI, which features autonomous decision-making and adaptive learning, allowing for real-time monitoring and coordination…

Site reliability engineers (SREs) are increasingly faced with challenges in managing modern distributed systems. During incidents, they must quickly analyze data from logs, metrics, Kubernetes events, and documentation to find root causes and implement fixes. Traditional monitoring tools often provide…

This post was co-authored with Dominic Catalano from Anyscale. Organizations developing large-scale AI models often encounter significant infrastructure hurdles, including unreliable training clusters, inefficient resource use, and complex distributed computing frameworks. These challenges can result in wasted GPU hours, project…

This post was collaborated on with Dominic Catalano from Anyscale. Organizations that develop and deploy large-scale AI models often encounter significant infrastructure challenges, such as unstable training clusters, inefficient resource management, and complex computing frameworks requiring specialized expertise. These issues…

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