This post was co-authored by Meghana Chintalapudi and Surabhi Sankhla from [Kore.ai](). As organizations face the challenge of managing increasing data volume from various sources, employees often spend about 30% of their time, according to the International Data Corporation (IDC),…

Amazon Bedrock has introduced global cross-region AI inference capabilities, enhancing scalability for enterprise automation through the use of intelligent agents. The Agentic AI applications leverage the new Amazon Bedrock AgentCore service, which simplifies infrastructure complexities while ensuring secure, isolated access…

Amazon Bedrock has introduced global cross-region AI inference capabilities, enhancing scalability for enterprise automation through the use of intelligent agents. The Agentic AI applications leverage the new Amazon Bedrock AgentCore service, which simplifies infrastructure complexities while ensuring secure, isolated access…

Organizations are increasingly adopting generative AI to improve customer experiences and drive innovation. However, with the expansion of AI workloads, ensuring consistent performance and reliability poses new challenges. To tackle this, Amazon has introduced cross-Region inference (CRIS) for Amazon Bedrock,…

PowerSchool, a leader in cloud-based software for K-12 education, has implemented an advanced content filtering solution for its AI assistant, PowerBuddy, to ensure student safety in educational environments. Co-authored by Gayathri Rengarajan and Harshit Kumar Nyati from PowerSchool, the blog…

Amazon Bedrock is a fully managed service providing access to high-performing foundation models (FMs) through a unified API. It facilitates the development of secure and responsible generative AI applications. With batch inference, organizations can efficiently analyze large datasets, benefiting from…

This article features insights from Dominic Catalano at Anyscale. Organizations engaged in the development and deployment of large-scale AI models often encounter significant infrastructure hurdles, including unreliable training clusters, inefficient resource utilization, and the complexity of distributed computing frameworks. These…