Remove 2030 Remove Business Intelligence Remove Data-driven Remove Deep Learning
article thumbnail

Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. billion by 2030. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science.

article thumbnail

AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Technology Enabling Successful Hybrid Workforce Transformation

CIO Business Intelligence

Notably, businesses are adopting virtual desktop infrastructure (VDI) as a way to keep data secure, teams collaborative, and staff productive while reducing costs. Driven by the growth of cloud-based technologies, the global VDI market is projected to reach a value of more than USD78 billion by 2030. [3]

article thumbnail

How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.