teknowlogy's top IT trends for 2019 – Growth drivers
While selective trends may undergo annual changes, the overall move towards digitalization is a constant development which started several years ago and will take many more. In our opinion, three key objectives are at the basis of this long-term transformation process – i.e. innovative, digital technologies should be used to:
- increase the efficiency of business processes;
- expand existing business models and services; and
- open up new potentials and customer groups.
Companies are faced with two options at the starting point of their journey: either they look at the goals mentioned above through the eyes of the customer – in which case, digital technologies related to the customer experience (CX) will be at the center of considerations – or they begin with themselves, i.e. the digital renewal of their internal processes, where innovations in IoT and automation will be of particular importance.
Of course, CX and IoT/automation cannot be considered separately without causing the whole project to fail. Ultimately, you do not want isolated solutions. Above all, digitalization means integration and interaction, which is why the means employed by companies are often similar. According to teknowlogy, these include especially enabling technologies such as cloud computing, analytics and big data, artificial intelligence and automation, security and GRC (governance, risk, and compliance), as well as architectures and platforms.
When moving away from a merely technical view on digitalization, the significance of new ecosystems quickly becomes clear; the capability of a partner network exceeds by far what a single company can achieve. Fast, integrated solutions to specific problems can be developed and operated in specific applications, creating added value for customers. When it comes to process optimization within partner networks, the value of today's ecosystems often becomes apparent when looking at blockchain projects, where integration and interaction lead to faster processes, for example in the supply chain.
In turn, digital technologies are required in order to build and operate such ecosystems. Since this concerns above all the integration and interaction of services and processes of different partners and parties, technologies such as cloud, data platforms, open architectures, APIs, containers, and microservices are of particular importance in the implementation stage.
As in previous years, companies will be facing another issue in 2019, which goes beyond technological innovations: the shortage of skilled workers. We expect this situation to exacerbate even more, as companies in all industries increasingly transform into digital companies and are increasingly looking for IT experts (developers, project managers, IT architects, etc.) to manage this transformation. In our view, this situation will be tightened by an increasing need for custom software development in the context of digitalization. The challenge for service providers will therefore be to design modern sourcing concepts that integrate on-site, nearshore, and offshore capacities into agile development projects and DevOps processes.
Last but not least, data will continue to be an important topic in 2019. Companies should be well aware of the enormous value of data and the way its collection, processing, and analysis forms the basis for all new and expanded services and business models. However, to unlock the hidden potential of raw data, the information must first be sorted, consolidated, and cleansed. Topics such as data management, data cleansing, and data enrichment will therefore become increasingly important in coming years.
These are the ten trends which, in addition to the growth drivers described above, will in our opinion be particularly significant in 2019:
- Business innovation architecture
- Virtual data platforms
- Multi-clouds and migration to the public cloud
- Artificial intelligence
- Robotic process automation
- IoT security and ICS security (industrial control systems)
- Platform-based software development and low-code development
- Open, technology-based ecosystems
- Edge computing
- Distributed ledger technology
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