An autonomous agent is a smart specialist working for a owner’s benefit however with no impedance of that possession element. Autonomous agents are programming elements that complete some set of tasks for the benefit of a client or another program with some level of freedom or self-sufficiency, and in this manner, utilize some representation and information of the client's objectives or wants.This growth is primarily driven by Increasing Number of AI Applications and Growth of Large and Complex Data Sets Driving the Need for Autonomous Agents.
Globally, a noticeable market trend is evident Increased Availability of Parallel Computational Resources. Major Players, such as IBM (United States), Oracle (United States), SAP (Germany), SAS (United States), AWS (United States), Infosys (India), FICO (United States), Nuance Communications (United States), Fetch.AI (United Kingdom) and Intel (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
In March 2019, Oracle has extended AI abilities inside its Enterprise Resource Planning (ERP) cloud and Enterprise Performance Management (EPM) cloud to limit manual procedures and precision, upgraded productivity, and consistence. The all-encompassing AI abilities incorporate cost report assistant, advanced financial controls, project-based supply chain management, and project management digital assistant.
- Increasing Number of AI Applications
- Growth of Large and Complex Data Sets Driving the Need for Autonomous Agents
- Increased Availability of Parallel Computational Resources
- Issues Related to Unsupervised Learning
- Need for Heavy Investment in Converting Unstructured Data Into Structured Data
- Lack of Skilled Workforce and Absence of Standards and Protocols
Integration of AI With Cloud and Advancements in AI and Ml
Limited Use Cases of Autonomous Agents, Increased Network Complexity and Data Privacy and Security Concerns
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