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How automation enables better data governance

CIO

Companies from all industries worldwide continue to increase investments in BPM/Workflow, Robotic Process Automation (RPA), machine learning (ML), and artificial intelligence (AI), and accelerate operational transformations to automate and make data governance more agile to keep up with the exponential growth of incoming information.

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Stability AI backs effort to bring machine learning to biomed

TechCrunch

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.

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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

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Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. Current challenges with cloud data The US government generates and collects a massive amount of data each year – everything from census information to intelligence gathering.

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Natural Language Processing & Machine Learning in Higher Education

Mentormate

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

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TransUnion transforms its business model with IT

CIO

That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security. The platform approach to AI TransUnion has been developing, deploying, and continuously modifying machine learning models for some time.

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Of Muffins and Machine Learning Models

Cloudera

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Model interpretability is one of five main components of model governance. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage.