Madeira seeks to boost economy with startups, innovative payment system

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The Madeira Blockchain 2023 conference showcased the region's efforts to become an emerging technology hub in the Atlantic... Portugal's Madeira archipelago has been praised for its natural beauty, but an aging population and pressing need for a more diversified economy prompted its local government to explore emerg...

What is market manipulation in cryptocurrency?

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Market manipulation in cryptocurrency involves artificially influencing prices or trading volume to deceive investors... Market manipulation in the crypto sphere, explained In the cryptocurrency space, market manipulation refers t...

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

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He brings strong thought leadership experience to engagements and thrives in supporting executive stakeholders achieve performance improvement and modernization goals across industries using AI/ML...The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world... However, building ML models requires significant time, effort,...

Experience the new and improved Amazon SageMaker Studio

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Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring... As we continue to innovate to increase data science productivity, we’re excited to announce the improved SageMaker Studio experience, which allows users to select the managed Integrated Developm...

Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker

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That’s why today we are excited to announce the new onboarding experience that makes it effortless for you to set up Amazon SageMaker domains for your organization... Let’s see what’s new and how to get started! Introducing the SageMaker domain setup UI for organizations The new UI for organizations lets you set up a SageMaker domain via the AWS Console and onboard users and organizatio...

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio

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Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at scale... SageMaker makes it easy to deploy models into production directly through API calls to the service... SageMaker provides a variety of options to deploy models... The SageMaker Python SDK is a high-level Python API that abst...