Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

Responsible AI 283

Responsible AI Generative AI AI AI 283

Unite.AI

FEBRUARY 15, 2024

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

IBM Journey to AI blog

AUGUST 7, 2023

Provides timely information that enables proactive evidence-based decision-making enabling minor course corrections with larger impact, such as adjusting strategies, allocating resources to ensure a clinical trial stays on track, thus helping to maximize the success of the trial.

AI 149

AI AI Algorithm Artificial Intelligence 149

AWS Machine Learning Blog

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. Data governance Data governance is a crucial function of an AI/ML CoE, such as making sure data is collected, used, and shared in a responsible and trustworthy manner.

ML 106

ML Generative AI AI AI 106

Kavita Ganesan

OCTOBER 21, 2022

To get into the crux of what went wrong, let’s study some of the problems in detail and try to learn from them. This will help us all see how to handle similar challenges when deploying AI in our organizations. Data Data is often a big reason why AI models fail. the environment).

ML 52

ML Machine Learning AI Strategy Continuous Learning 52