Staff-resources Analytics
Emerging digital technologies demand efficient staff-resources which should be analyzed in terms of sources of innovation and roles of academic institutes, computer science and information technology engineers, government and collaborative networks and optimal utilization of critical resources. The innovation demands the commitment of creative experts in IT and computer science who can contribute significantly through their intellectual abilities, thinking style, knowledge, motivation and group dynamics. In this connection, collaborative networks are interesting options which should coordinate and integrate the needs and activities of R&D lab and academic institutions of state and central government. The creative talent should look at the hard problems in unconventional ways, generate new ideas and articulate shared vision in various domains such as requirements engineering, system design, coding, testing and performance optimization. The critical resources are intelligent hardware, software, security and networking solutions.
Innovation demands the commitment of creative people. Creativity is the underlying process for technological innovation which promotes new ideas through intellectual abilities, thinking style, knowledge, personality, motivation, commitment and interaction with environment. Individual inventors may contribute through their inventive and entrepreneurial traits, skills and knowledge in multiple domains and highly curious argumentative mindset. Some users or customers or clients or private nonprofit organizations may innovate new products or services based on their own needs. Many firms set up excellent R&D lab and also collaborative networks with customers, suppliers, academic institutes, competitors, government laboratories and nonprofit organizations. Many universities define sound research mission and vision and contribute through publication of research papers. Government also plays an active role in R&D either directly or indirectly or through collaboration networks and start-ups (e.g. science parks and incubators). A complex technological innovation often needs collaborative intelligence to manage the gap between demand and supply of a specific set of capabilities, skills and resources. It is possible to control cost, speed and competencies of technological innovations through efficient sharing mechanisms. It is rational to share the cost and risks of new innovations through creation, storage, transfer and application of knowledge among the partners of the innovation ecosystem.
The expert panel are analyzing the need of staff-resources in terms of sources of innovation and roles of electrical and electronics engineering, information technology, SCADA, industrial control system, power grid, government and collaborative networks and optimal utilization of resources. The innovation demands the commitment of creative experts who can contribute significantly through their intellectual abilities, thinking style, knowledge, motivation and group dynamics. In this connection, collaborative networks are interesting options which should coordinate and integrate the needs and activities of R&D lab, academic institutions, power grids of state and central government, users and supply chain partners effectively. The creative talent should look at the hard problems in unconventional ways, generate new ideas and articulate shared vision.
Traditional scope and approaches of smart grid, ICS and SCADA operations focus on long-term planning and stability to mitigate various types of risks. But, complex operation management requires a mix of traditional and agile approaches to cope with uncertainties. The intension driven role develops collaboration. The event driven role integrates planning and review with learning. The other important roles of the system administrators are to prevent major disruptions and maintaining forward momentum continuously. They must acknowledge the emergence of a problem and then try to minimize the frequency and negative impact of unexpected events in a dynamic environment. They must be people oriented, information information oriented and action oriented.
Mr. Aziz is explaining the need of 5M (man, machine, material, method and money) for the innovation of secure multi-party quantum computing and secure adaptive fllter. In this connection, human capital should be considered as a strategic asset and a sustainable resource of technological innovation. The innovation demands skills of human resources for the innovation of emerging technologies and strategic alignment. Man analyzes various aspects of human capital management of technological innovations such as talent acquisition and retention strategy, training, and performance evaluation. ‘Machine’ analyzes the basic aspects of quantum computers and secure adaptive filters; material analyzes the demand of essential components of quantum computers. Method explores various aspects of process innovation, intelligent mechanism and procedure for the innovation on secure quantum computing and filter. Finally, money highlights optimal fund allocation for the innovation on quantum computing and secure adaptive filter.