IBM Journey to AI blog

OCTOBER 22, 2024

This adaptability allows organizations to align their data integration efforts with distinct operational needs, enabling them to maximize the value of their data across diverse applications and workflows. Organizations must support quality enhancement across structured, semistructured and unstructured data alike.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

Iguazio

JULY 22, 2024

In this blog post, we introduce the joint MongoDB - Iguazio gen AI solution, which allows for the development and deployment of resilient and scalable gen AI applications. Iguazio capabilities: Structured and unstructured data pipelines for processing, versioning and loading documents.

AI 132

AI AI ML ML 132

IBM Journey to AI blog

AUGUST 12, 2024

It includes a range of technologies—including machine learning frameworks, data pipelines, continuous integration / continuous deployment (CI/CD) systems, performance monitoring tools, version control systems and sometimes containerization tools (such as Kubernetes )—that optimize the ML lifecycle.

Big Data 106

Big Data Big Data ML ML 106

Alation

APRIL 4, 2023

However, the race to the cloud has also created challenges for data users everywhere, including: Cloud migration is expensive, migrating sensitive data is risky, and navigating between on-prem sources is often confusing for users. To build effective data pipelines, they need context (or metadata) on every source.

DataOps 52

DataOps Data Engineering Data Engineering Data Engineering 52

Iguazio

JANUARY 16, 2024

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. With Iguazio, Sense’s ML team members can pull data, analyze it, train and run experiments, making the process automated, scalable and cost-effective. Enabling quick experimentation.

ML 52

ML ML DataOps Data Scientist 52

Iguazio

JANUARY 16, 2024

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. With Iguazio, Sense’s data professionals can pull data, analyze it, train and run experiments. With Iguazio, data scientists and ML engineers start having superpowers.”

ML 52

ML ML DataOps Data Scientist 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

DataRobot Blog

SEPTEMBER 13, 2022

Platforms like DataRobot AI Cloud support business analysts and data scientists by simplifying data prep, automating model creation, and easing ML operations ( MLOps ). These features reduce the need for a large workforce of data professionals. Driving Innovation with AI: Getting Ahead with DataOps and MLOps.

Data Scientist 52

Data Scientist ML ML AI 52

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Read the blog, Alation 2022.2:

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

Pickl AI

DECEMBER 11, 2024

Companies must adapt quickly to changing demands, and lean data management empowers them by enabling faster decisions, seamless collaboration, and improved scalability. This blog explores why lean data management is essential for agile organisations, its principles, and how to implement it effectively.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Dataversity

JULY 1, 2022

Businesses rely on data to drive revenue and create better customer experiences – […]. A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.” Today, most businesses would beg to differ.

Analytics 52

Analytics Analytics DataOps Data Pipeline 52

BAIR

FEBRUARY 17, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. Operation: LLMOps and DataOps. The text directly below gets tweets to work.

AI 145

AI AI DataOps Data Pipeline 145

BAIR

FEBRUARY 18, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. Operation: LLMOps and DataOps. The text directly below gets tweets to work.

AI 40

AI AI DataOps Data Pipeline 40