ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. Innovative AI Tools for 2024 Cosmopedia Now think about this. Whether you’re managing data pipelines or deploying machine learning models, Thunder makes the process smooth and efficient.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Towards AI

FEBRUARY 29, 2024

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge.

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Apache Kafka SQL Clustering Data Pipeline 140

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. This section explores essential aspects of Data Engineering.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

FEBRUARY 15, 2024

These systems represent data as knowledge graphs and implement graph traversal algorithms to help find content in massive datasets. These systems are not only useful for a wide range of industries, they are fun for data engineers to work on. So get your pass today, and keep yourself ahead of the curve.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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.

Python 52

Python Database Data Pipeline SQL 52

BAIR

FEBRUARY 17, 2024

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. AI applications have always required careful monitoring of both model outputs and data pipelines to run reliably. Why Use Compound AI Systems?

AI 145

AI AI DataOps Data Pipeline 145

PyImageSearch

FEBRUARY 5, 2024

Implementing Face Recognition and Verification Given that we want to identify people with id-1021 to id-1024 , we are given 1 image (or a few samples) of each person, which allows us to add the person to our face recognition database. On Lines 40 and 41 , we define the path to our face database (i.e.,

Database 62

Database Data Pipeline Deep Learning Deep Learning 62

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. One day is usually adequate for development use.

Clustering 98

Clustering Database SQL Data Pipeline 98

DagsHub

APRIL 21, 2024

Best MLOps Tools & Platforms for 2024 In this section, you will learn about the top MLOps tools and platforms that are commonly used across organizations for managing machine learning pipelines. Data storage and versioning Some of the most popular data storage and versioning tools are Git and DVC.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

DECEMBER 5, 2023

DagsHub MLflow By using DagsHub’s MLflow implementation, the remote setup is done for us, eliminating the need to store experiment data locally or host the server ourselves. It additionally covers features such as live logging, experiment database, artifact storage, model registry, and deployment.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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. Technology Choices for Generative AI Applications Data Store Vector databases have emerged as the go-to data store solution in demos and quickstarts for generative AI applications built with RAG.

AI 52

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ODSC - Open Data Science

OCTOBER 13, 2024

She’ll cover the distinct challenges that come with handling different data types and how modern tools can turn what feels like chaos into a manageable, streamlined architecture. Data lakes allow for the ingestion of vast amounts of data — regardless of type or format — without the need for a pre-defined schema.

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Data Lakes Database Data Pipeline SQL 40

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. The stepsinclude: Extraction : Data is collected from multiple sources (databases, APIs, flatfiles).

ETL 52

ETL AI AI Data Warehouse 52

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.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

ODSC - Open Data Science

JANUARY 18, 2024

Data engineers will also work with data scientists to design and implement data pipelines; ensuring steady flows and minimal issues for data teams. They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. Learn more about the cloud.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

SEPTEMBER 18, 2024

Fortunately, Fivetran’s new Hybrid Architecture addresses this security need and now these organizations (and others) can get the best of both worlds: a managed platform and pipelines processed in their own environment. What is the Hybrid Deployment Model?

Data Warehouse 52

Data Warehouse System Architecture Data Pipeline Cloud Data 52

phData

JULY 2, 2024

Developers can seamlessly build data pipelines, ML models, and data applications with User-Defined Functions and Stored Procedures. Validating the Deployment in Snowflake Existence – The newly created Python UDF should be present under the Analytics schema under the HOL_DB database.

Python 52

Python SQL Data Pipeline ML 52

phData

APRIL 23, 2024

From structured data sources like ERPs, CRM, and relational data stores to unstructured data such as PDFs, images, and videos, enterprises are confronted with the daunting challenge of keeping up with their ever-expanding data ecosystem. Interest in leveraging Fivetran?

Data Governance 52

Data Governance Data Pipeline Data Warehouse Cloud Data 52

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 billion in 2024 and reach a staggering $924.39 Companies actively seek experts to manage and analyse their data-driven strategies. billion in 2023, is projected to grow to $348.21

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Big Data Big Data Hadoop Apache Kafka 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. Choose an option for allowing unredacted logs for the Lambda function in the data pipeline. This allows you to control which IAM principals are allowed to decrypt the data and view it. Choose Create data source.

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ODSC - Open Data Science

SEPTEMBER 27, 2024

Open Data Science AI News Blog Recap DOD Urged to Accelerate AI Adoption Amid Rising Global Threats ( Source ) Anthropic Eyes $40 Billion Valuation in New Funding Round ( Source ) Meta to Launch AI Celebrity Voices from Judi Dench, John Cena, and Other Celebrities ( Source ) Celebrities Fall Victim to ‘Goodbye Meta AI’ Hoax as Fake Privacy Message (..)

Artificial Intelligence 40

Artificial Intelligence Artificial Intelligence AI AI 40

Ocean Protocol

JANUARY 17, 2024

Ref DappRadar Jan 17, 2024 Ocean Predictoor Volume vs time. Ref DappRadar Jan 17, 2024 Our main internal goal overall is to make $ trading, and then take those learnings to the community in the form of product updates, and related communications. It’s centered around a data lake with tiers from raw → refined.

Data Pipeline 52

Data Pipeline AI AI Analytics 52

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. A cloud data warehouse is designed to combine a concept that every organization knows, namely a data warehouse, and optimizes the components of it, for the cloud.

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Data Warehouse Data Lakes Clustering Cloud Data 98

ODSC - Open Data Science

OCTOBER 16, 2024

The upcoming ODSC West 2024 conference provides valuable insights into the key trends shaping the future of LLMs. 1, From Experimentation to Implementation: Building the LLM-Powered Future The theme of building and deploying LLM applications resonates strongly throughout the ODSC West 2024 lineup.

Data Quality 40

Data Quality AI AI Analytics 40

PyImageSearch

JANUARY 8, 2024

We will understand the dataset and the data pipeline for our application and discuss the salient features of the NSL framework in detail. config.py ) The data pipeline (i.e., Next, in the 3rd part of this tutorial series, we will discuss two types of adversarial attacks used to engineer adversarial examples.

Deep Learning 67

Deep Learning Deep Learning Data Pipeline Computer Science 67

BAIR

FEBRUARY 18, 2024

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. AI applications have always required careful monitoring of both model outputs and data pipelines to run reliably. Why Use Compound AI Systems?

AI 40

AI AI DataOps Data Pipeline 40

Pickl AI

DECEMBER 16, 2024

This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6 billion in 2024 and is projected to reach a mark of USD 1339.1 databases, APIs, CSV files). billion by 2030.

AI 52

AI AI Machine Learning Machine Learning 52

Alation

MARCH 1, 2023

billion and will grow to reach nearly $19 billion in 2024. How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them.

Data Governance 52

Data Governance Data Pipeline Database Analytics 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In March 2024, AWS announced it will offer the new NVIDIA Blackwell platform, featuring the new GB200 Grace Blackwell chip. An important part of the data pipeline is the production of features, both online and offline. All the way through this pipeline, activities could be accelerated using PBAs.

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phData

OCTOBER 28, 2024

However, if the tool supposes an option where we can write our custom programming code to implement features that cannot be achieved using the drag-and-drop components, it broadens the horizon of what we can do with our data pipelines. Jython is to be used for database connectivity only. The default value is Python3.

Python 52

Python ETL AWS Database 52

AWS Machine Learning Blog

MARCH 15, 2024

Other good-quality datasets that aren’t currently FHIR but can be easily converted include Centers for Medicare & Medicaid Services (CMS) Public Use Files (PUF) and eICU Collaborative Research Database from MIT (Massachusetts Institute of Technology). He has worked with multiple federal agencies to advance their data and AI goals.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. As the pace of progress accelerates, the ever-expanding capabilities of state-of-the-art models will garner the most media attention.

AI 119

AI AI Artificial Intelligence Artificial Intelligence 119

phData

JANUARY 7, 2025

An example of naming intermediate sub-directory and model file name Models The example below illustrates that intermediate models do not need to be physically present in the target database. Staging models are believed to be the atomic units for data modeling and hold transformed source data as per the requirements.

SQL 52

SQL Data Warehouse Database Analytics 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52