Data Science Dojo

FEBRUARY 13, 2025

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

Big Data 298

Big Data Big Data AI AI 298

Defined.ai blog

AUGUST 10, 2023

Data Quality For AI to produce reliable results, it needs high-quality data. Ensuring accurate, relevant, complete, and up-to-date data is essential. Regular data audits and implementing robust data governance practices can help maintain data quality. Implementing robust data security measures.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

AWS Machine Learning Blog

OCTOBER 2, 2024

This includes implementing access controls, data governance policies, and proactive monitoring and alerting to make sure sensitive information is properly secured and monitored. For cases where you need a semantic understanding of your data, you can use Amazon Kendra for intelligent enterprise search.

AWS 127

AWS AI AI ML 127

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Data Governance 59

Data Governance ML ML Cloud Data 59

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

AI 90

AI AI Machine Learning Machine Learning 90

Data Science Dojo

AUGUST 24, 2023

By enabling faster development time, better model performance, more reliable deployments, and enhanced efficiency, MLOps is instrumental in unlocking the full potential of harnessing ML for business intelligence and strategy. Experiment tracking : Metaflow offers some experiment-tracking functionalities.

Machine Learning 195

Machine Learning Machine Learning ML ML 195

DagsHub

AUGUST 23, 2024

We already know that a data quality framework is basically a set of processes for validating, cleaning, transforming, and monitoring data. Data Governance Data governance is the foundation of any data quality framework. It primarily caters to large organizations with complex data environments.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52