Remove 2017 Remove Data Preparation Remove Machine Learning
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Augmented analytics

Dataconomy

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

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A secure approach to generative AI with AWS

AWS Machine Learning Blog

Customers have benefited from this confidentiality and isolation from AWS operators on all Nitro-based EC2 instances since 2017. By design, there is no mechanism for any Amazon employee to access a Nitro EC2 instance that customers use to run their workloads, or to access data that customers send to a machine learning (ML) accelerator or GPU.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning Blog

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

AWS 125
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AWS positioned in the Leaders category in the 2022 IDC MarketScape for APEJ AI Life-Cycle Software Tools and Platforms Vendor Assessment

AWS Machine Learning Blog

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring. About the author.

AWS 89
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3 Major Trends at Strata New York 2017

DataRobot Blog

Standard Chartered Bank’s Global Head of Technology, Santhosh Mahendiran , discussed the democratization of data across 3,500+ business users in 68 countries. Standard Chartered Bank (SCB), a customer of Paxata, spoke about data democratization at SCB. DataRobot Data Prep. free trial. Try now for free.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.