CIO
SEPTEMBER 29, 2023
If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.
CIO
DECEMBER 13, 2023
Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now? What’s hiding in your unstructured data?
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CIO
JUNE 28, 2023
“When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.
TechCrunch
APRIL 4, 2023
Now, seven years later, Amazon has another AI accelerator – this time led by Amazon Web Services with a focus on the newest zeitgeist: generative artificial intelligence. Announced today, AWS has created a 10-week program for generative AI startups around the globe. As for why now, isn’t it obvious?
CIO
OCTOBER 25, 2023
From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?
AWS Machine Learning - AI
MARCH 4, 2024
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.
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