IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

Pickl AI

FEBRUARY 17, 2025

This automation not only increases efficiency but also enhances the accuracy of data interpretation, allowing organisations to focus on more strategic tasks. Scalability Machine Learning techniques are designed to handle vast amounts of data, making them well-suited for big data applications.

Machine Learning 52

Machine Learning Algorithm Explainability Data Quality 52

AI News

APRIL 25, 2024

In an interview ahead of the AI & Big Data Expo North America , Igor Jablokov, CEO and founder of AI company Pryon , addressed these pressing issues head-on. This allows organisations to ring-fence highly sensitive data behind their own firewalls when needed. And guess what?

Responsible AI 343

Responsible AI Big Data AI AI 343

Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Robotics also witnessed advancements, with AI-powered robots becoming more capable in navigation, manipulation, and interaction with the physical world.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Delta Lake Delta Lake is an open-source storage layer that provides reliability, ACID transactions, and data versioning for big data processing frameworks such as Apache Spark.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

JULY 5, 2024

Establishing strong information governance frameworks ensures data quality, security and regulatory compliance. This includes defining data standards, policies and processes for data management, as well as leveraging advanced analytics and big data technologies to extract actionable insights from health data.

Data Integration 146

Data Integration Data Quality Algorithm AI Modeling 146