Machine learning, artificial intelligence, and cloud-based security solutions will make a breakthrough in the Information Technology industry in 2020. This is shown in a recent report on the Tech Trends 2020. According to these, technologies now provide real added value for production and business processes.
A majority of companies in Germany know how significant digital transformation is for their future business success. Technological developments are being watched with great interest, and pilot projects for the deployment of new IT applications and services are planned more and more often across all industries. By contrast, it still lacks a consistent application in practice.
This will change as of next year — a key outcome of dimension data’s current “Tech Trends”:
Technology such as artificial intelligence, machine learning, and robot-controlled process optimization are now so mature that their added value for production and business processes becomes visible in 2020 becomes.
For the “Tech Trends 2020”, seven key areas of action were examined – customer experience, IT security, digital business, digital infrastructure, digital workplace, future technologies and services – and in each case the most critical IT trends for the coming year are identified:
Robot-Controlled process automation for novel customer experience.
With the rapid growth of technologies such as machine learning, artificial intelligence (AI), and artificial neural networks.
The companies can better meet the needs of their customers because these technologies make it possible to combine scenarios, to better understand customers’ needs and behaviors, and to make predictive decisions in real-time.
Focus on cloud-based cybersecurity platforms.
The severe damage caused by cyber-attacks in 2019 will increase the importance of cloud-based security providers.
The cloud-based security systems based on open programming interfaces (APIs) make it possible to quickly and easily integrate new technologies into the platform. This allows companies to keep pace with the rapidly evolving threat landscape.
End-to-End programmability of the infrastructure.
Enterprises will increasingly subscribe to multiple cloud platforms and frequently use Software-as-a-Service (SaaS).
Possibility of tailor-made, end-to-end programmability allows them to quickly adapt to changes in the enterprise landscape and demand more from applications and data.
Smarter and more custom applications.
Software solutions can collect information about their users and process them more and more effectively. In the coming year, there will also be applications that automatically make changes to their functionality based on this data, improving the user experience.
Thanks to technology like artificial intelligence and machine learning, employee productivity will continue to increase.
Rise of data value to the central size.
For some years, data has been considered the essential raw material in the age of digital transformation. In the coming year, the importance of data will continue to increase. The reason is a new business model based on them will generate new revenue streams.
To increase the value of the data, further efforts are needed to collect, enrich, and analyze data. Information architecture will also change. Optimizing data management will, therefore, become an essential area for business investment in the coming years.
