What is Artificial Intelligence Plus Internet Of Things Aiot?
Artificial Intelligence Plus Internet of Things (AIoT) refers to the convergence of Artificial Intelligence (AI) technologies with the Internet of Things (IoT) ecosystem. This integration involves embedding AI algorithms and capabilities into IoT devices and networks, enabling these devices to collect, process, and analyze data autonomously. Growth is fuelled by the Data-driven decision making and enhanced connectivity and interoperability.
Demand for Predictive Analytics And Automation to Propel Market Growth
The growing demand for predictive analytics and automation is a key driver propelling the AIoT market forward. Businesses across various sectors increasingly rely on AIoT solutions to harness the predictive power of AI in conjunction with IoT data. Predictive analytics enables organizations to anticipate trends, identify anomalies, and optimize processes, enhancing overall operational efficiency. Furthermore, the integration of AI-driven automation within IoT ecosystems streamlines tasks, reduces manual intervention, and enables intelligent decision-making. This demand for predictive capabilities and automation underscores the transformative impact of AIoT in driving data-driven insights and operational excellence across diverse industries.
March 2023: WISekey International Holding Ltd., a global cyber security, Al, and IoT company, has announced the integration of generative Al into its AloT platform. Integrating generative AI, WISEAl enhances its ability to learn from patterns and data to create new and original content and data.
Source-www.wisekey.com/press/wisekey-is-integrating-generative-ai-to-its-wiseai-io-aiot-platform/
Conclusion
The growing demand for predictive analytics and automation is a key driver propelling the AIoT market forward.Predictive analytics enables organizations to anticipate trends, identify anomalies, and optimize processes, enhancing overall operational efficiency.
Author's Detail:
Sneha Mali /
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Sneha Mali is a research analyst working in various domains including the Consumer Goods, market research and transport & logistics and her primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. Her knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively.Sneha stay up-to-date with the latest research trends, methodologies, and technologies to ensure that her research is accurate, relevant, and impactful.
In her current role, Sneha is committed to continuous learning and staying abreast of emerging trends in research methodologies. Regular participation in workshops, webinars, and industry conferences ensures that her skills remain sharp and relevant. She have demonstrated ability to transform complex data sets into clear and concise narratives that inform key business strategies. Collaborating with cross-functional teams.Sneha remains an invaluable asset in the dynamic landscape of market research.
