AWS Machine Learning Blog

SEPTEMBER 18, 2024

In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

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The Data Administration Newsletter

AUGUST 7, 2024

My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue of this newsletter. In that article, I discussed how semantic encoding (also called concept encoding) is the go-to solution for consistently representing master data entities such as customers and products.

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Heartbeat

DECEMBER 7, 2023

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. What is Data Mesh?

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Iguazio

FEBRUARY 8, 2024

Data Pipeline - Manages and processes various data sources. Application Pipeline - Manages requests and data/model validations. Multi-Stage Pipeline - Ensures correct model behavior and incorporates feedback loops. This includes versioning, ingestion and ensuring data quality.

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Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. billion In 2023 – $307.52 billion Value by 2023 – $745.15 Cloud-based Data Analytics Utilising cloud platforms for scalable analysis.

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Pickl AI

NOVEMBER 28, 2024

billion in 2023 to $181.15 R and Other Languages While Python dominates, R is also an important tool, especially for statistical modelling and data visualisation. Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data.

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ODSC - Open Data Science

APRIL 26, 2023

Because of this, they will be required to work closely with business stakeholders, data teams, and even other tech-focused members of an organization to sure that the needs of the organization are met and comply with overall business objectives. ODSC East 2023 this May and ODSC Europe this June have you covered.

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phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

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Pickl AI

DECEMBER 10, 2024

billion in 2023, grows at a projected CAGR of 36.6% Risk Management Strategies Across Data, Models, and Deployment Risk management begins with ensuring data quality , as flawed or biased datasets can compromise the entire system. Organisations grapple with biases, lack of transparency, and attack vulnerability.

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Snorkel AI

MAY 12, 2023

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. Model-ready data refers to a feature library. Learn more, live!

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Snorkel AI

MAY 12, 2023

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. Model-ready data refers to a feature library. Learn more, live!

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phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

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The MLOps Blog

MAY 9, 2023

A typical machine learning pipeline with various stages highlighted | Source: Author Common types of machine learning pipelines In line with the stages of the ML workflow (data, model, and production), an ML pipeline comprises three different pipelines that solve different workflow stages. They include: 1 Data (or input) pipeline.

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Flipboard

JULY 31, 2023

Helping You Find the Best Datasets In this blog post, we aim to empower both seasoned and novice data scientists by providing a comprehensive guide to the top machine learning datasets available in 2023. Model Training: With the labeled data and identified features, the next step is to train a machine learning model.

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Precisely

NOVEMBER 14, 2024

Trend #1: Automation Usage Among SAP ® Customers Continues to Grow As businesses continue on their digital transformation journeys, the top desired outcomes remain: agility speed improved data quality and integrity To achieve these goals and others, organizations are increasingly turning to automation. Let’s explore that next.

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