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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. Generated answers can be modified to create the best experience for the intended channel. To integrate QnABot with Amazon Connect , see Connecting QnABot on AWS to an Amazon Connect call center.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. One of the ways to handle multi-modal data that is gaining popularity is the use of multi-modal agents.

Financial 103
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The biggest challenges and opportunities for the retail season 2024 

Happy or Not

Experiential retail Thanks to technology, retailers can now connect with consumers through traditional media channels and their day-to-day lifestyle activities. This means staying connected to customers as they travel, buy groceries, shop for clothing, or attend some kind of events like movies and concerts.

Retail 36
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2022 Energy & Utilities Outlook

West Monroe

An increasingly connected energy-and-utilities ecosystem. Utilities are working to increase electrification in emissions-intensive economic sectors such as transportation and buildings. More devices connected to the electric grid—and more data being collected—significantly increases exposure to cybersecurity threats.

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8 loyalty trends for 2024: intelligent, data-led marketing

Currency Alliance

Many of the trends from last year … the rise of chief digital officer and other professional technology buyers loyalty personalization digital CX innovation the rise of loyalty fraud B2B and SME loyalty programs less excitement about crypto … are all still highly relevant; it’s simply that the emphasis has shifted.

Loyalty 59
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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

The model itself is often too big to fit in memory of a single GPU device or on the multiple devices of a multi-GPU instance. Although this post focuses on LLMs, most of its best practices are relevant for any kind of large-model training, including computer vision and multi-modal models, such as Stable Diffusion.

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Priorities for med device manufacturers to enhance inventory management

West Monroe

Doing so can be as simple as providing sales representatives with comprehensive field management solutions and labeling medical devices with QR codes that are connected to your ERP for use by medical professionals. For medical device manufacturers, this will allow for less field inventory and tighter JIT windows.