Tag: Machine Learning

As enterprises race to ship features faster and reduce technical debt, AI-assisted development has moved from experimental to essential with Gartner predicting 75% of enterprise engineers will use AI code assistants by 2028. OpenAI ChatGPT Codex on Amazon Bedrock brings frontier agentic coding capabilities to AWS customers, enabling developers to offload complex, multistep coding tasks while maintaining the security, governance, and operational controls that enterprise environments demand. Learn how ChatGPT Codex goes beyond simple code completion to reason across entire repositories, generate tests and documentation, and accelerate delivery all through a fully managed, serverless API with zero operator access and pay-per-token pricing.

By: Ranjith Raman, Principal Solutions Architect – AWS By: Anuj Dewangan, Principal Solutions Architect – AWS Adobe New product availability and integrations bring enterprise-grade agentic AI capabilities to marketers and developers, enabling seamless workflows across Adobe and AWS. Adobe and Amazon Web Services (AWS) today announced a strategic collaboration to accelerate enterprise adoption of agentic […]

This post highlights how organizations can adopt Code Ocean to empower research IT and equip scientists with a scalable, reproducible research platform. We’ll also highlight a real-world case study from the Allen Institute and introduce how research IT delivers secure, compliant access to agentic AI with Trusted Agents, which was recently launched in Code Ocean 4.0.

BMC’s HelixGPT, combined with Amazon Web Services, can transform IT operations by reducing Mean Time To Repair (MTTR) and enhancing decision-making processes.

In this post, we explain how Dynatrace provides end-to-end monitoring and visibility into generative AI applications utilizing Amazon Bedrock models allowing for comprehensive LLM observability.

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

The financial services industry stands at a crossroads between speed and security. Despite the digital revolution, document-based verification remains king – creating a bottleneck that impacts both operational efficiency and fraud prevention. This paradox affects everything from payment processing to lending and insurance claims management, challenging institutions to find innovative solutions. In this blog we cover how Fortiro’s solutions streamline document verification while strengthening fraud prevention.

The integration of artificial intelligence (AI) technologies is rapidly gaining momentum across various industries, offering a variety of business advantages. However, without implementing robust AI security measures, organizations may face substantial risks, including model poisoning and sensitive data breaches. Learn how Orca Security provides effective strategies to mitigate and prevent these potential threats.

Learn how Steplab, in collaboration with AWS and BJSS, leverages Amazon Bedrock and Claude 3.5 Sonnet LLM to revolutionize teacher coaching through AI-powered personalized feedback.

As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.