1. As one guru in data science said, 'no data — no business'
. Without data, you are not able to implement any AI. In this way, businesses should think about data collection stack
first of all: how they are going to collect data, store it and work with it in the most efficient way. After that, you need to perform data normalization,
which is a must-do procedure for cross-channel businesses. Data from Facebook, Google, Amazon, Snapchat — these are all different types of data, and you need to somehow normalize it and put in the same buckets. Suchwise, each company should think of their own solutions on how to make all these data equal.
2. Decision-making stack and automation
. There are various AI products that might help you with that. Once you collect data and extract the required information from there, AI will help you to proceed and make the right decision.
3. Prepare people to use AI in a proper way and become Iron Mans
. Basically, there two types of people in the team — those who do not trust AI at all and the other ones who trust them too much. Dmytro believed that the right way to use AI is to be Tony Stark
from the Iron Man.
The costume without Tony Stark is not so cool, and Tony Stark would never be an Iron Man without his costume. The same with AI, it is able to cooperate with humans. It helps us to analyze a huge amount of data, but without us, as marketers, it is inefficient to make the right decisions. Thus, it is really important to educate tech specialists in the proper way and explain to them the difference in the area of responsibility of humans and AI.