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Boost processing performance by combining AI models

Boost processing performance by combining AI models

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 …

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Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

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 …

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London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services

London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services

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 …

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Evaluate large language models for your machine translation tasks on AWS

Evaluate large language models for your machine translation tasks on AWS

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 …

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Parameta accelerates client email resolution with Amazon Bedrock Flows

Parameta accelerates client email resolution with Amazon Bedrock Flows

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 …

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Efficiently build and tune custom log anomaly detection models with Amazon SageMaker

Efficiently build and tune custom log anomaly detection models with Amazon SageMaker

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 …

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Explore the business case for responsible AI in new IDC whitepaper

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, …

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Optimizing costs of generative AI applications on AWS

Optimizing costs of generative AI applications on AWS

The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. …

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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their data isn’t cost effective. To reduce costs while continuing to use the …

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