Data Science main IT trend 2019

Data Science most important IT trend of 2019
Data science is the most important IT trend of the year. Cyber & data security and Artificial Intelligence follow in second and third place, according to the IT trends survey 2019 by Supply Value

The top eight is structured as follows:

  1. Data Science
  2. Cyber and data security
  3. Artificial Intelligence
  4. internet of things
  5. Blockchain
  6. Robotic Process Automation
  7. Edge Computing
  8. Quantum Computing

Data Science is taken up with the highest priority within organizations
Data science is taken up with a high to very high priority by more than 50% of the respondents in 2019 and is therefore the priority within IT. However, larger organizations are significantly more familiar with this than the smaller organizations in the Netherlands.

In 2012, Harvard Business Review named the data scientist as the sexiest profession of the 21th century, but the data scientist still has a significant challenge in bridging the gap between data science and automation in order to be able to do the right level of analysis.

The biggest challenge that data scientists now face is that data is becoming increasingly heterogeneous and that increasingly complex methods are required for analytics to be automatic and self-sufficient.

Internet of things brings digital, physical and biological information flows together
Internet of things is the most well-known trend of the respondents, of which 75% says it is very familiar with the developments.

Despite the fact that the number of internet of things devices continues to grow exponentially, their security is still viewed with some suspicion. That is why security of data and systems is an important topic, and logically takes second place.

Blockchain benefits sustainability by tracing and automating digital processes
Blockchain may be trend 5 of 2019, but it is already widely used in both the private sector and within the government. The biggest hurdle for Blockchain now often turns out to be misunderstood or misapplied. For example, it is often difficult to track physical resources digitally, which also makes applying Blockchain difficult. Nevertheless, a significant increase in investment, up to USD 23 billion, is expected in 2023 (Statista, 2018).

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