Four IT buzzwords for 2020
20
Jan
Some words have already been used in an excessive 
and mistaken way, we can mention disruptive technologies seen as any that have an impact on the market, when the problem is the scale of production and consumption, the data lakes, used to store raw data that do not they mean they are or can be handled easily (there are specific environments and tools for this), and the third term that is not new is also DevOps, which is the rapid implementation of codes with facilities to remove and correct possible bugs (errors in the code ).
The four buzzwords that are expected to grow in 2020 and which represent a danger both in their use and in their implementation are BigData (yes it already existed in 2019 but its expansion is indicated as a large volume for 2020), AI ditto the previous one, Agile which means the rapid market change and corporate strategy, if misused will be a failure and ultimately and no less essential, and lastly, what has been called a “digital transformation”.
Let’s start with the last one, which includes the previous ones, including the 3 excluded from the analysis, digital transformation does not necessarily mean that “everything now changes with digital processes”, and of course it does not mean that nothing changes, depending on the area, the impact, the disruption (in the scale) it is clear that the impact can and should happen, but be careful with Agile.
Agile is the process of responding quickly to changes, but the answer does not mean being responsive in any situation, the vast majority deserve analysis such as transient market situations, seasonal processes, response to competition and in particular, changes in “fashion”.
AI can be a response to many businesses, but the term “intelligence” itself is questioned, in fact it is a bit of each previous process, including bigData, Agile and Data lakes, that is, there must be tools like Analytics and Machine Learning that assist the process.
Gartner detected an increase from 25% to 37% from 2018 to 2019 in the use of AI for business, but the effectiveness is not guaranteed, just as only the use of IT does not mean the modernization of the company.
