Smart Data Collective

MAY 13, 2022

trillion on AI by 2030 ? With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Before you can have AI-driven apps, you need to train a machine learning model to do the work. Of course, challenges with data analysis will always be there.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

CIO Business Intelligence

JULY 26, 2023

While healthcare staffing challenges are not new, they are forecasted to reach crisis levels in the coming years. For nursing staff alone, the International Centre on Nurse Migration projects a 13 million shortage by 2030, an increase from 6 million pre-pandemic. Large Language Models (LLMs).

Technology 83

Technology Unstructured Data Forecasting Visualization 83

Data Insight

OCTOBER 27, 2021

trillion in 2030*. Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52