ODSC - Open Data Science

JANUARY 2, 2024

We couldn’t be more excited to announce two events that will be co-located with ODSC East in Boston this April: The Data Engineering Summit and the Ai X Innovation Summit. Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Learn more about them below.

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Data Science Dojo

OCTOBER 10, 2023

Data Observability : It emphasizes the concept of data observability, which involves monitoring and managing data systems to ensure reliability and optimal performance. However, in previous iterations of the summit, speakers have included prominent voices in data engineering and analytics.

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ODSC - Open Data Science

FEBRUARY 21, 2024

For the first time ever, the Data Engineering Summit will be in person! Co-located with the leading Data Science and AI Training Conference, ODSC East, this summit will gather the leading minds in Data Engineering in Boston on April 23rd and 24th. We’re currently hard at work on the lineup. Sign me up!

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Flipboard

JUNE 26, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Popular LLMs Explained in 7 Minutes Get a quick overview of GPT, BERT, LLaMA, and more!

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Natural Language Processing Data Science Machine Learning Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 2, 2024

Historically, data engineers have often prioritized building data pipelines over comprehensive monitoring and alerting. Delivering projects on time and within budget often took precedence over long-term data health. Until recently, there were few dedicated data observability tools available.

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ODSC - Open Data Science

JANUARY 18, 2024

Must-Have Prompt Engineering Skills, Preventing Data Poisoning, and How AI Will Impact Various Industries in 2024 Must-Have Prompt Engineering Skills for 2024 In this comprehensive blog, we reviewed hundreds of prompt engineering job descriptions to identify the skills, platforms, and knowledge that employers are looking for in this emerging field.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

OCTOBER 22, 2024

Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

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Precisely

AUGUST 15, 2024

Address common challenges in managing SAP master data by using AI tools to automate SAP processes and ensure data quality. Create an AI-driven data and process improvement loop to continuously enhance your business operations. Digital business transformation remains a top priority for organizations across industries.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis. Value in 2024 – $305.90

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Pickl AI

MAY 15, 2024

But the allure of tackling large-scale projects, building robust models for complex problems, and orchestrating data pipelines might be pushing you to transition into Data Science architecture. So if you are looking forward to a Data Science career , this blog will work as a guiding light.

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The MLOps Blog

JANUARY 26, 2024

Mailchimp had decided, “We’ll move the burgeoning data science and machine learning initiatives in batches, including any data engineers needed to support those. Team setup and responsibilities We had around 20 data engineers and ML(Ops) engineers working on the ML platform at Mailchimp.

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Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Introduction In today’s business landscape, data integration is vital. Let’s unlock the power of ETL Tools for seamless data handling.

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phData

MAY 14, 2024

Here are some reasons we think will compel you to use phData: Knowledge Here at phData, we strive to be the most well-versed data engineers for Snowflake. It’s a lightweight Command Line Interface (CLI) that takes a low code approach to profiling data sources to allow anyone to access the tool’s power.

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DataSeries

OCTOBER 13, 2024

The future might see a greater demand for professionals who combine data science skills with deep domain expertise (e.g., healthcare, finance), rather than generalist data scientists. Data-Centric AI Data-centric AI is a shift from model and code-centric ways to focus on data quality and availability to develop better AI systems.

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DagsHub

JANUARY 14, 2025

A deep dive into the effect of duplicate social media data can be found in the paper Xianming Li et al. This paper proposes a Generative AI based deduplication framework for detecting redundancy in social media data. Contemporary deduplication methods emphasize both efficiency and preserving data quality while eliminating redundancies.

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Pickl AI

DECEMBER 10, 2024

from 2024 to 2030, implementing trustworthy AI is imperative. 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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AI AI Artificial Intelligence Artificial Intelligence 52

KDnuggets

JUNE 27, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter How to Learn AI for Data Analytics in 2025 Learn these AI tools to stay relevant as a data professional (..)

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Hacker News

JULY 1, 2025

Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers. We were focused on building data pipelines and models to protect our users from malicious phonecalls. Background in backend software engineering.

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phData

JULY 23, 2024

However, certain considerations and cautions are required when working with a patient’s medical data. Data security is paramount to keeping patients’ data private, and data quality needs to be perfect to create an effective analysis. How can we improve clinical diagnoses? Why phData?

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AWS Machine Learning Blog

MARCH 15, 2024

First, you need to address the data heterogeneity problem with medical imaging data arising from data being stored across different sites and participating organizations, known as a domain shift problem (also referred to as client shift in an FL system), as highlighted by Guan and Liu in the following paper.

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