Data Science Dojo

FEBRUARY 13, 2025

As one of the largest developer conferences in the world, this event draws over 5,000 professionals to explore cutting-edge advancements in software development, AI, cloud computing, and much more. Thats where Data + AI Summit 2025 comes in!

Big Data 300

Big Data Big Data AI AI 300

Flipboard

JUNE 16, 2025

Getting Started: You Don’t Need Expensive Hardware Let me get this clear, you don’t necessarily need an expensive cloud computing setup to win ML competitions (unless the dataset is too big to fit locally). The dataset for this competition contained 77 features and 443k rows, which is not small by any means.

Machine Learning 126

Machine Learning Machine Learning Data Science Artificial Intelligence 126

IBM Journey to AI blog

DECEMBER 7, 2023

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Alation

OCTOBER 12, 2021

One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

ODSC - Open Data Science

SEPTEMBER 12, 2024

US Proposes Mandatory Reporting for AI and Cloud Providers The U.S. Commerce Department has announced a new proposal aimed at enhancing the safety and security of AI and cloud computing services. Apply now for a chance to participate, and we’ll be in touch if space is available.

Data Visualization 40

Data Visualization Data Science AI AI 40

DrivenData Labs

DECEMBER 11, 2024

One unavoidable observation from the past ten years is that the pace of technological innovation, especially in data and AI, has been dizzying. We have partnered with more social sector organizations that have their own data team recently, which was almost never the case ten years ago.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134