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Talkdesk for Salesforce provides relief and recovery with industry solutions

Talkdesk

This technology package can reduce friction in the process with an end-to-end customer experience solution that streamlines the administration of PPP loans. Financial institutions can activate the Small Business Lending Solution in as little as 24 hours with some customers doing so in less than a day!

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. Overview of solution.

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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

Data-driven decisions fueled by near-real-time insights can enable farmers to close the gap on increased food demand. However, scouting each field on a frequent basis for large fields and farms is not feasible, and successful risk mitigation requires an integrated agronomic data platform that can bring insights at scale.

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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). This dataset is a large corpus of legal and administrative data. Prerequisites Before getting started, make sure you have the following prerequisites: An AWS account.

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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. As the volume of call data grows, traditional analysis methods struggle to keep pace, creating a demand for a scalable solution.

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Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

AWS Machine Learning

We made it simple to get started with just an email address, without the need for installs, setups, credit cards, or an AWS account. Going forward every customer be required to link their account to a mobile phone number. Noah Gift, Executive in Residence at Duke MIDS (Data Science). Customer success stories.