applications protect-your-cloud-environments-with-data-security-observability 
AWS Machine Learning
JANUARY 26, 2024
Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.
AWS Machine Learning
MAY 9, 2024
An effective approach that addresses a wide range of observed issues is the establishment of an AI/ML center of excellence (CoE). As observed by Harvard Business Review, an AI/ML CoE is already established in 37% of large companies in the US. What is an AI/ML CoE?
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AWS Machine Learning
DECEMBER 5, 2023
In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs. These concerns of privacy and data protection can slow down or limit the usage of LLMs in organizations.
AWS Machine Learning
AUGUST 14, 2023
However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations. Some of the models offer capabilities for you to fine-tune them with your own data. This blog post is co-written with Tuana Çelik from deepset.
AWS Machine Learning
JUNE 22, 2023
Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.
Fonolo
NOVEMBER 17, 2020
How do we evolve working from home to make it easier, more secure, and efficient for the business and our associates?” The companies that realize there’s no going back will be ahead of the pack, just as those contact centers who invested in cloud technology before the pandemic found migration a lot easier. We had to listen.
AWS Machine Learning
OCTOBER 20, 2023
However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services.
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