CI TASK development trends
CI TASK tracks global development trends in telecommunications networks, large-scale computing, huge data sets, the Internet of Things, artificial intelligence, IT services and broadly understood security.
Knowledge about development trends is a component of planning in every intelligent organizations. Their proper analysis and preparation of information are the basis for making a decision. Leading organizations have structured, balanced innovation programs in line with a business strategy, that takes into account long-term technological progress. This also applies to teams producing software or systems that use complex information technologies. In both cases, IT functions often become a competitive differentiator in the digital econo
Valuable case studies are published in TASK Quartely. Two centers managed by CI TASK also play an important role: CD NIWA coordinating work on the development and delivery of applications in the TASKcloud computing cloud and CK STOS dealing with data transfer and collection as well as the production of intelligent services that analyze this data. As part of CK STOS project, an investment is being carried out related to the construction of a modern headquarters for CI TASK along with a complex of safe, modern server rooms.
- Internet of Everything
We can observe a continuous increase in the scope of work and computerization, looking for information on the development of IoE (Internet of Everything) or automation. Business processes, vehicles, virtual assistants’ vehicles. Consequences are created connections with historical data (ecosystems), digital source data sources (ecosystems), digital source data sources, which forces new methods of their collection and analysis on an ongoing basis, and requirements for data research and computing power
- Virtualization of network resources
The consistent progress in the modernization of network devices and computing systems, ensuring an increase in the speed of data transfer and the scalability of the calculations performed, taking into account the energy efficiency criteria. This is the fact. The emergence of new intelligent architectures with flexible functionality (through the implementation of SDN technology – Software Defined Networks), high virtualization of various types of resources, and the dominant M2M (Machine to Machine communication) communication forces a change in the procedures for configuring and adapting the infrastructure, both to the needs of the infrastructure owner, and new user expectations.
- Integration of processing methods into advanced services
Various processing methods are integrated: sequential, parallel and distributed, and above all, mobile and interactive. There is an increasingly comprehensive offer of intelligent applications using various types of microservices and taking into account the high mobility of devices (using 5G technology), as well as direct (on-line) human-machine communication. This enables the creation of new scenarios for the implementation of projects supporting a wide range of such available services, which can be treated as new, complex services, focused on interdisciplinary areas of interest.
- Development of big data processing and deep learning services portfolio
The avalanche data growth leading to new problems related to the management and analysis of big data, the need to ensure the integrity of interdisciplinary data as well as open access to selected research data and their analysis (the principles of open science), opens up new possibilities of knowledge extraction and increases the need for cooperation between the world of science and IT centers, with a high potential for the use of artificial intelligence methods. It leads to the virtualization of data centers and the emergence of a new category of smart services.
- Increasing the level of security and reliability of the infrastructure
The improvement of the technical infrastructure (power supply, cooling, extinguishing and monitoring systems) ensures higher reliability of the functioning of basic (network and computing) infrastructures, and consequently also the ecosystems built on these infrastructures. This enables high security standards to be achieved at various levels of infrastructure and ecosystems and opens up the possibility of their certification, both in terms of management and operational reliability.
- Wider usage and personalization of applications in the software center
The inclusion of selected human aspects (emotions, intuition) in processing. This happens thanks to the development of cognitive analytics using artificial intelligence and machine learning, contributes to the use of high-power computing in new areas of knowledge and applications. The specificity, variety and complexity of such applications require adaptive use of new applications and adapting their interfaces to the different users needs (personalization).
- Servising and maintenance of advanced dedicated computing environments for clients’ needs
Due to the increasing costs of IT resources exploitation and their modernization, as well as the user’s need to focus on their own problems, external specialists are entrusted with the tasks of maintaining and modernizing the used computing and network infrastructure. This often means renting it (e.g. in the cloud) in accordance with negotiated supplier / customer agreements (SLA), which requires, among other things, direct negotiations between the infrastructure provider and interested customers. After concluding contracts, the efficient management of users (clients) also becomes a big challenge.