Remove 2015 Remove Data Engineering Remove ML
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WiBD & DataCamp May Session – DataCamp Certification and Next Steps

Women in Big Data

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data.

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MLOps and the evolution of data science

IBM Journey to AI blog

Both computer scientists and business leaders have taken note of the potential of the data. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps is the next evolution of data analysis and deep learning. What is MLOps?

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models.

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.

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McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.