SVCTBA Smart City Conference & Expo Follows the Tradition but to Add & Explore More Subject Presentations, Business Opportunities and Do Show Cases of Technologies, Solutions and Services in Energy, Transportation, IoT & Big Data for Smart Cities.
SVCTBA 2018 Conference & Expo sponsor by the City of San Jose at Rotunda. The themes of this year’s conference will be Artificial Intelligence, Machine Learning Technologies, and Innovations in the areas of IoT, Big Data, Transportation and Green Energy for Smarter cities.AI – Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science
Technologies of Artificial Intelligence
Technologies For SVCTBA 2017 Smart City Conference & Expo
AI Technologies for Future Smart Cities in 4 sectors
AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.
Data Science – Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.
Blockchain – Harvard Business Review describes it as “an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way.
Blockchains are secure by design and are an example of a distributed computing system with high Byzantine fault tolerance. Decentralized consensus has therefore been achieved with a blockchain. This makes blockchains potentially suitable for the recording of events, medical records, and other records management activities, such as identity management, transaction processing, documenting provenance, or food traceability.
Industry 4.0 – Industry 4.0 is a name for the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing.
Industry 4.0 creates what has been called a “smart factory”. Within the modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans in real time, and via the Internet of Services, both internal and cross-organizational services are offered and used by participants of the value chain. In addition to this, these technologies enable mass customization of manufacturing products. The production systems become more flexible in order to be adapted to the needs of the individuals. Moreover, Industry 4.0 allows the development of new business models which may contribute to radically new ways of interaction in the whole value chain.