Remove 2030 Remove Cost-Benefit Remove Forecasting Remove Internet of Things
article thumbnail

Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

through 2030. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. As of 2022, the EAM market was valued at nearly $6 billion , with a compound annual growth rate of 16.9%

article thumbnail

Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Organizations across industries increasingly benefit from sophisticated automation that better handles complex queries and predicts user needs.