It is true of La Palice to say that the world is evolving at a speed never seen before, especially in the last two decades. What is a trend today could be a certainty tomorrow, at least in terms of technology.
In Data Science and Artificial Intelligence it is no different. If we want to do a trendhunting exercise, we have to be fast. But we help you out! Intelligent Algorithms presents some trends in Data Science and Artificial Intelligence for 2022:
#1 VBD
Talking about Big Data (BD) has already become very usual, but we must be prepared to change the lexicon and talk about Very Big Data. The amount of data generated worldwide continues to grow and is increasingly becoming a central component of economic strategy.
Each passing day we become more and more dependent on data to make decisions and this has implications. A direct consequence is the increasing inequality between those who can manage and maximize data and those who cannot. It doesn’t matter how big the company is: if there are no conditions to organize, process and extract value from data, that company is in serious danger of collapsing. The greater the amount of raw or not maximized data, the greater the effort and time spent to do so.
Let’s not be naive: there are those who are on board the data boat and those who have stayed ashore. For the latter, the time to act is NOW. And 2022 is a good year to start!
#2 A greater investment on data security
The exponential increase in data will place security on the agenda. The growing digitization of the economy through the affirmation of online commerce is a good example of a “gateway” for increasingly sophisticated attacks on corporate security. Those who are least prepared will be the ones most at the risk of cyberattacks, data breaches or other phenomena alike.
Investing in data security and more adequate Data Governance policies is essential to avoid major problems. Artificial Intelligence plays (and will keep playing) a crucial role in the detection of suspicious movements or fraud attempts, preventing them from happening.
#3 Data Literacy and Data Culture
Although a data driven society is synonymous with evolution, it also generates more info-excluded individuals. In 2022, data literacy is expected to be a priority – and last year Galp set an example by announcing a data literacy program for its employees. Other companies will follow.
The better a data culture is implemented in the company, the easier it will be to detect opportunities for innovation and process improvement. In 2022, the mobilization of C-suite towards a data driven culture can allow companies to fully understand the potential of Data Science and Artificial Intelligence. It is important that these potentialities are not only known by a restricted group of specialists – it is crucial that companies, as a whole, acknowledge these advantages.
In this sense, it is essential to invest in data literacy in organizations.
#4 Data Driven Customer Experience
Data Science has already made it possible to improve the customer experience for a few years, but this fact could become mainstream in 2022. 5G will allow almost real-time data transmission, making communication more fluid. In substance, NLP (Natural Language Processing) will help this communication reach new levels of understanding between humans and machines.
Several Data Analytics and Artificial Intelligence tools allow for a customization capacity never seen before. Recommendation engines are increasingly able to “read” consumers and offer them what they want, with no friction. Chatbots will continue to help deliver an excellent service or even save time for users and companies.

#5 Ethics
With the GDPR increasingly common in the business lexicon, 2022 could well be the year of a more significant qualitative leap: the age of Data ethics. More than protecting data (GDPR), new concerns will gain importance: “How to avoid manipulation in data processing”? “How to feed algorithms with unbiased data”? “What should we pay attention to, so that algorithms do not discriminate against people”?
The more difficult data ethics is to understand, the more relevance it gets. Data Science, Machine Learning or Artificial Intelligence are still areas not understood by a vast majority of the population. As a consequence, companies have to be very careful when hiring competent agencies to work with data.
Intelligent Algorithms provides top solutions in Data Analytics and Artificial Intelligence. We are experts in extracting value from the information that ALREADY EXISTS in your organization, to help different departments make the best decisions and reduce risks. Find out what we can do for you and your company.
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