Defined.ai blog

AUGUST 10, 2023

Businesses can transform raw numbers into actionable insights by applying AI. For instance, an AI model can predict future sales based on past data, helping businesses plan better. Interpreting these requires a keen understanding of your business context and the specific problem the AI was set to solve.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network AI 52

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 193

Metadata Explainability Automation AI 193

ODSC - Open Data Science

JUNE 1, 2023

Take a deep dive into the theory underpinning and applications of Generative AI at our first-ever Generative AI Summit on July 20th. Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Register for free!

ML 52

ML Big Data Data Scientist Data Science 52

DataRobot Blog

JUNE 23, 2022

Replacing these with a more accurate (and rational) AI/ML model in an existing system or process is generally straightforward, because there is a context and environment in which the new model can succeed. DATAROBOT AI CLOUD. Decision Intelligence Flows. Too often the new model fails the “so what” test.

AI 59

AI AI AI Modeling Automation 59

IBM Journey to AI blog

OCTOBER 12, 2023

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. Here’s what’s involved in making that happen.

Data Scientist 207

Data Scientist Metadata Responsible AI Explainability 207

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Here are some trends to watch: Democratization of Data Science: With user-friendly tools and cloud-based platforms, data science will become more accessible to businesses of all sizes.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52