Deep Learning and Neural Networks Drive a Potential $7.9 Trillion AI Economy
VANCOUVER, BC, April 29, 2024 /PRNewswire/ -- USA News Group – As artificial intelligence (AI) continues to permeate the corporate landscape, its potential economic impact is becoming increasingly clear. According to McKinsey & Company's recent analysis, which spans 63 different use cases, the data suggests that generative AI could contribute as much as $7.9 trillion to the global economy annually in the foreseeable future. The market has already responded, as the Cloud & AI Confidence Index reached nearly $8 trillion in the first quarter of 2024, showing the potential for generative AI to be "unlimited". One major aspect of the AI revolution is the rapid progression of deep machine learning and neural networks, which are each making major strides thanks to the advancements being made by developers, such as Tesla, Inc. (NASDAQ: TSLA) (NEO: TSLA), Accenture plc (NYSE: ACN), Palantir Technologies Inc. (NYSE: PLTR), ServiceNow, Inc. (NYSE: NOW) (NEO: NOWS), and Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF).
- The market has already responded, as the Cloud & AI Confidence Index reached nearly $8 trillion in the first quarter of 2024 , showing the potential for generative AI to be "unlimited".
- Young brings over 25 years of leadership experience to Scope AI, with the intention to branch out GEM's capabilities to new sectors and potential clientele.
- "We are thrilled to welcome James as our new CEO," said James Liang, former CEO of Scope AI.
- At its core, GEM is designed to allow businesses to create their own object detection, visual information systems, and a complete neural network.