An Article by Ingo Becker
Digitalization creates versatile growth. Digital transformation of companies ensures increasing global networking of industries as well as in a company and its locations, especially in production. More sensors on machines detect an increasing data volume, which is stored, processed and made usable to algorithms for artificial intelligence (AI). The IT industry is ready. Currently, fully integrated and open systems are provided that meet even the most complex requirements in addition to individual solutions for businesses of all sizes.
In the Gartner Hype Cycle for Emerging Technologies, the industry analysts of the US American consulting company summarize the current and future trends of digitalization. Eight new trend technologies have recently been included, including Artificial General Intelligence, Digital Twin and Edge Computing. Upcoming technologies include IoT platforms and 5G, among others.
The Top 10 Strategic Technology Trends can be summarized in three groups along with their most significant developments. These megatrends are particularly interesting for advanced enterprise developers and technology pioneers to link them with their own ideas and to better understand corresponding influences on their own business development in the future. According to it, the pivotal applications include Artificial Intelligence (AI) and Digital Technology Platforms.
Approx. 3.5 billion IoT mobile communications worldwide will be created in 2023 with an annual growth rate of 30 percent according to the current Ericsson Mobility Report (06/2018). The forecast has already almost doubled since November 2017 due to projects in China.
Twenty percent of the global mobile data traffic will be in 5G networks in 2023. The commercial introduction of 5G networks is expected for this year, first in North America, followed by Northeast Asia (Japan, South Korea) and Western Europe.
Global data transmission with new 5G and NB-IoT networks
At the same time, the first IoT networks will be provided for industrial use. For example, Deutsche Telekom and Vodafone have completed preparatory tests in Europe, and the narrowband IoT (NB-IoT) is available in the Netherlands (2017) and Austria (2018) . A strategy for international mobility is urgently needed, especially by globally operating companies.
The immense demand is having an effect. For wireless hardware technologies, more than half (55%) of the total production of semiconductor components for connectivity (ICs) will be delivered by component suppliers in 2018, according to the market analysts from IHS Markt in their current assessment.
Overcoming barriers, technically in and between businesses, and interplay in infrastructures signify important keys for successful digitalization and the expansion of the Industrial Internet of Things (IIOT).
Currently, 197 of Fortune Global 500 companies, including 45 of the top 100, have opted for Huawei as a digital transformation partner. In doing so, the company from China is betting on an integrated range in different IoT action fields, among other things, a system for the establishment of an inter-continental data connection (‘Cloud Connect with cross-border compliance‘).
Sensors detect the data generated in production and logistics, and IoT connections transmit the activities in real time – which means continuously greater data volumes. An analysis by IDC shows that the range of 16.1 Zettabyte (ZB), i.e., 16.1 trillion gigabytes, will increase by more than 10 times from 2016 to 163 ZB in 2020. The digitized world of economy is facing a veritable data wave, in which existing computer capacities can reach their limits.
Consequently, the potential for data processing in the age of analytics, networking and artificial intelligence (AI) is already being prepared intensively. Amir Faintuch, SVP and General Manager of the Platform Engineering Group at Intel Corporation, speaks in this context of a ‘Renaissance Of Compute’.
Amir Faintuch (Intel SVP & GM Platform Engineering Group) delivers his keynote on the pursuit of “Meaningful Compute” – compute that is sentimental, cinematic, contextual, & metaphorical. → https://t.co/OssQGKJfzT #CEBIT18 #Intel #AI #compute #keynote @cebit pic.twitter.com/93mkxvyJuY
— Intel Business (@IntelBusiness) 13. Juni 2018
IBM is also taking new paths. Already since 2016, scientists—especially from quantum physics—can experiment free of charge via cloud computing in quantum computing with up to 16 quantum bits (qubits) at IBM. Quantum computers are not based on the known analog model of the binary code of zeros and ones, because that is comparatively slow.
Application areas are those that already use artificial intelligence today and are reaching their limits with conventional processor services, such as those that make extensive simulations necessary, for example, traffic optimization or in the financial sector, or extensive linear algebra as in physics as well as material studies in the chemical sector, life sciences and pharmaceuticals. In the meantime, the new, complex super computers are solidly in the sights of planning departments, because the demand is immense. Google and Microsoft have also started development work with quantum computers.
Ingo Becker, M.A. Journalist, former PR director in companies for technology, telecommunications, and the financial sector Today: journalist/blogger and digital strategist. firstname.lastname@example.org