As organizations navigate the complexities of the digital realm, generative AI has emerged as a transformative force, empowering enterprises to enhance productivity, streamline workflows, and drive innovation. To maximize the value of insights generated by generative AI, it is crucial to provide simple ways for users to preserve and share these insights using commonly used tools …
In this post, I’ll show you how to use Amazon Bedrock—with its fully managed, on-demand API—with your Amazon SageMaker trained or fine-tuned model. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and …
Leveraging the strengths of different AI models and bringing them together into a single application can be a great strategy to help you meet your performance objectives. This approach harnesses the power of multiple AI systems to improve accuracy and reliability in complex scenarios. In the Microsoft model catalog, there are more than 1,800 AI …
Boost processing performance by combining AI models Read More »
Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. As these advanced systems accelerate in playing a critical role in decision-making processes and customer interactions, customers should work towards ensuring the reliability, fairness, and compliance of generative AI applications with industry regulations. To address this …
This post was co-written with Ben Doughton, Head of Product Operations – LCH, Iulia Midus, Site Reliability Engineer – LCH, and Maurizio Morabito, Software and AI specialist – LCH (part of London Stock Exchange Group, LSEG). In the financial industry, quick and reliable access to information is essential, but searching for data or facing unclear …
London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services Read More »
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. LLMs particularly stand out for their natural ability to learn from the context of the input text, which allows them to pick up on …
Evaluate large language models for your machine translation tasks on AWS Read More »
This blog post is co-written with Siokhan Kouassi and Martin Gregory at Parameta. When financial industry professionals need reliable over-the-counter (OTC) data solutions and advanced analytics, they can turn to Parameta Solutions, the data powerhouse behind TP ICAP . With a focus on data-led solutions, Parameta Solutions makes sure that these professionals have the insights …
Parameta accelerates client email resolution with Amazon Bedrock Flows Read More »
Google Lens uses AI to help you search the world around you. Here’s how to make the most of it.
In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it. Log-based anomaly detection involves identifying anomalous …
Efficiently build and tune custom log anomaly detection models with Amazon SageMaker Read More »
I am pleased to introduce Microsoft’s commissioned whitepaper with IDC: The Business Case for Responsible AI. This whitepaper, based on IDC’s Worldwide Responsible AI Survey sponsored by Microsoft, offers guidance to business and technology leaders on how to systematically build trustworthy AI. In today’s rapidly evolving technological landscape, AI has emerged as a transformative force, …
Explore the business case for responsible AI in new IDC whitepaper Read More »
