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AI Categories in CRE Colliers has identified six primary categories of AI that are currently being utilized or expected to be adopted soon: Natural Language Processing (NLP) – Understands, generates, and interacts with human language. from 2023 to 2028, reaching $36.4 billion by 2028. 26% aim to do so within the next year.
Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. Simply put, it is a superior iteration of intelligent automation. So why is this recently expounded phenomenon surprising industries? trillion by 2026.
Currently, these trends are shaped by the pursuit of possible innovation that can result in new market capture in machine learning, automation, and data analytics. Finally, the automation of loans. through 2028. The global NLP market is anticipated to reach $68.1 billion by 2028, at a CAGR of 29.3%.
AI technologies, such as Machine Learning (ML) and natural language processing (NLP), have gained traction to protect, detect and respond to threats. billion by 2028, growing at a compound annual growth rate (CAGR) of 21.9% billion in 2023 and is projected to reach USD 60.6 during this period.
Data visualization, APIs galore, facial recognition, NLP, PA, DL, and more are all on the menu here. In addition to being the first full-stack AI platform, MLaaS unifies a wide variety of systems, including but not limited to mobile apps, business data, industrial automation and control, and cutting-edge sensors like LiDar.
The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). By following these steps, you can efficiently process, review, and store documents using a fully automated AWS Cloud-based pipeline.
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