AWS Machine Learning Blog

NOVEMBER 27, 2023

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. This will land on a data flow page. Choose your domain.

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AWS Machine Learning Blog

JULY 29, 2024

Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time series forecasts. SageMaker Canvas simplifies your data preparation with automated solutions for filling in missing values, making your forecasting efforts as seamless as possible.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

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KDnuggets

DECEMBER 10, 2019

From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.

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DataRobot

JUNE 2, 2021

According to Omdia, the goal of MLOps is to move machine learning projects out of the experimentation phase and into production where they can give companies a competitive advantage. Omdia noted that DataRobot stands out from the competition in its extensive use of AutoML ideals across the machine learning lifecycle.

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Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. While this requires a certain amount of labeled data, overall data requirements are typically much lower compared to training a dedicated model from the ground up.

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The MLOps Blog

APRIL 5, 2023

Have you ever spent weeks or months building a machine learning model, only to later find out that deploying it into a production environment is complicated and time-consuming? Machine learning model packaging is crucial to the machine learning development lifecycle.

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AWS Machine Learning Blog

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Now generally available, agents can plan and perform most business tasks—from answering customer questions about your product availability to taking their orders—and developers don’t need to be familiar with machine learning, engineer prompts, train models, or manually connect systems.

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ODSC - Open Data Science

AUGUST 25, 2023

Surveys by firms such as Boston Consulting Group and MIT found that 7 out of 10 AI projects failed to realize the impact that they were expected to have and AI implementation plans dropped from 20% in 2019 to 4% in 2020.

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Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The Inferentia chip became generally available (GA) in December 2019, followed by Trainium GA in October 2022, and Inferentia2 GA in April 2023. In November 2023, AWS announced the next generation Trainium2 chip.

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Kaggle

JULY 29, 2020

Photo by Clay Banks on Unsplash Let’s learn about David! link] David Mezzetti is the founder of NeuML, a data analytics and machine learning company that develops innovative products backed by machine learning. In August 2019, Data Works was acquired and Dave worked to ensure a successful transition.

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IBM Journey to AI blog

FEBRUARY 22, 2024

Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). He holds a Master’s degree in Machine Learning and Software Engineering from Syracuse University.

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