ODSC - Open Data Science

DECEMBER 14, 2023

Using Guardrails for Trustworthy AI, Projected AI Trends for 2024, and the Top Remote AI Jobs in 2024 How to Use Guardrails to Design Safe and Trustworthy AI In this article, you’ll get a better understanding of guardrails within the context of this post and how to set them at each stage of AI design and development.

K-nearest Neighbors 97

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Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

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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.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry.

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ODSC - Open Data Science

FEBRUARY 15, 2024

We couldn’t be more excited to announce the first sessions for our second annual Data Engineering Summit , co-located with ODSC East this April. Join us for 2 days of talks and panels from leading experts and data engineering pioneers. Is Gen AI A Data Engineering or Software Engineering Problem?

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ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineering 52

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ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

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IBM Journey to AI blog

FEBRUARY 26, 2024

But with automated lineage from MANTA, financial organizations have seen as much as a 40% increase in engineering teams’ productivity after adopting lineage. Increased data pipeline observability As discussed above, there are countless threats to your organization’s bottom line.

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Data Pipeline Data Engineering Data Engineer Data Engineering 112

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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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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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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phData

JUNE 26, 2024

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. Data engineers can prepare the data by removing duplicates, dealing with outliers, standardizing data types and precision between data sets, and joining data sets together.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineer 52

ODSC - Open Data Science

APRIL 4, 2024

Find out how to weave data reliability and quality checks into the execution of your data pipelines and more. More Speakers and Sessions Announced for the 2024 Data Engineering Summit Ranging from experimentation platforms to enhanced ETL models and more, here are some more sessions coming to the 2024 Data Engineering Summit.

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phData

JULY 1, 2024

The recent Snowflake Summit 2024 brought plenty of exciting upcoming features, GA announcements, strategic partnerships, and many more opportunities for customers on the Snowflake AI Data Cloud to innovate. Likewise, Snowflake Summit 2024 showed no shortage of exciting upcoming features for Snowflake Cortex AI.

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Precisely

AUGUST 15, 2024

A recent TDWI Best Practices Report found that top priority outcomes for digital business transformation in 2024 include: increased operational efficiency better data-driven decisions superior customer experiences How are businesses planning to achieve these goals and more? Let’s dive deeper into data readiness next.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

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DagsHub

MAY 7, 2024

Seamless integration into the workflow: Kolena can be integrated into existing data pipelines and CI systems using the kolena-client Python client, ensuring that data and models remain under user control at all times.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

MAY 7, 2024

Seamless integration into the workflow: Kolena can be integrated into existing data pipelines and CI systems using the kolena-client Python client, ensuring that data and models remain under user control at all times.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house.

Machine Learning 52

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phData

JULY 2, 2024

Developers can seamlessly build data pipelines, ML models, and data applications with User-Defined Functions and Stored Procedures. Move inside sfguide-data-engineering-with-snowpark-python ( cd sfguide-data-engineering-with-snowpark-python ). What Are Snowpark’s Differentiators?

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ODSC - Open Data Science

JANUARY 28, 2025

AI Trends of 2024 and Predictions for2025 Reflecting on 2024, McGovern highlighted its breakout nature for AI, driven by advancements in industry applications and the maturation of tools like ChatGPT. LLM Engineers: With job postings far exceeding the current talent pool, this role has become one of the hottest inAI.

AI 40

AI AI Machine Learning Machine Learning 40

Pickl AI

JUNE 7, 2024

This blog will delve into ETL Tools, exploring the top contenders and their roles in modern data integration. Let’s unlock the power of ETL Tools for seamless data handling. Also Read: Top 10 Data Science tools for 2024. It is a process for moving and managing data from various sources to a central data warehouse.

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ODSC - Open Data Science

FEBRUARY 19, 2025

In the world of AI-driven data workflows, Brij Kishore Pandey, a Principal Engineer at ADP and a respected LinkedIn influencer, is at the forefront of integrating multi-agent systems with Generative AI for ETL pipeline orchestration. Data privacy & ethics: AI-driven ETL must adhere to governance frameworks.

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. Use with caution, and test before committing to using them.

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phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing.

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phData

JULY 5, 2024

At the time of writing this blog, the year is 2024, and companies that have not yet adopted Gen AI may be feeling the pressure of being left behind. To provide an example, traditional structured data such as a user’s demographic information can be provided to an AI application to create a more personable experience.

AI 52

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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. For Streaming data , use windowed deduplication techniques to identify duplicates within a specific time frame.

Machine Learning 52

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phData

OCTOBER 28, 2024

Modern low-code/no-code ETL tools allow data engineers and analysts to build pipelines seamlessly using a drag-and-drop and configure approach with minimal coding. One such option is the availability of Python Components in Matillion ETL, which allows us to run Python code inside the Matillion instance.

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AWS Machine Learning Blog

MARCH 15, 2024

The following quote from the GovCIO article Data Sharing and AI Top Federal Health Agency Priorities in 2024 also echoes a similar theme: “These capabilities can also support the public in an equitable way, meeting patients where they are and unlocking critical access to these services.

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