According to In-Stat, "the premise behind the smart home is to use networking technology to integrate appliances, devices and services within the home in an effort to control and monitor the entire living space from a remote location as well as within the home. In addition, smart homes are intended to offer homeowners a convenient and secure living space by equipping homes with smart IT functions such as energy consumption tracking, heating, cooling and lighting control, and alarm systems. While the smart home seems to be a valuable and convenient concept in theory, there has yet to be widespread consumer demand for products found in a smart home. This is because consumers have high expectations for both performance and ease of use. In addition, expectations for price are disproportionately low. However, several factors such as pervasive Internet access, home network growth and the acceleration of broadband access to many homes are driving consumer awareness of smart homes and smart home products. While the growth in this market has not taken off as expected five years ago, there is still an opportunity for growth, especially with the involvement of large automation vendors and corporations, such as Home Automation, Inc. and Motorola."
The Chief Information Officer (CIO) and/or the Chief Technology Officer (CTO) will guide Generative AI initiatives within the large enterprise C-Suite. They may already have the technical expertise and experience to understand the capabilities and limitations of Gen AI. They also have the authority and budget to make the necessary investments in infrastructure and talent to support Gen AI initiatives. Enterprise AI infrastructure is proven to be expensive to build, operate and maintain. That's why public cloud service provider solutions are often used for new AI use cases. AI Semiconductor Market Development Semiconductors designed to execute Artificial Intelligence (AI) workloads will represent a $53.4 billion revenue opportunity for the global semiconductor industry in 2023, an increase of 20.9 percent from 2022, according to the latest worldwide market study by Gartner. "The developments in generative AI and the increasing use of a wide range AI-based applications in data c