Talkdesk
FEBRUARY 10, 2021
This technology package can reduce friction in the process with an end-to-end customer experience solution that streamlines the administration of PPP loans. Talkdesk’s solutions allow customers to harness technology to drive progress.”. Salesforce, AppExchange and others are among the trademarks of salesforce.com, inc.
AWS Machine Learning
JANUARY 5, 2024
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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AWS Machine Learning
DECEMBER 1, 2022
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.
AWS Machine Learning
NOVEMBER 1, 2022
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.
AWS Machine Learning
FEBRUARY 6, 2024
Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.
AWS Machine Learning
AUGUST 21, 2024
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.
AWS Machine Learning
DECEMBER 19, 2023
Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Data and model management provide a central capability that governs ML artifacts throughout their lifecycle.
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