Data

Businesses in all sectors continue to increase their investments in data analytics to run their businesses, and in the coming years, investments in data technology are set to increase by another 20%. But there is fundamental change which marks this market from the same exercise, the democratization of data. The arrival of Big Data and IoT in all homes and with it some changes in the market that explain it to shapeSpanish platform specialized in data science:

IoT is entering homes en masse

This year there will be 5,000 million connected things in homes, compared to 10 million connected devices in 2000. That multiplied by 22 by Connected home devices will impact the way consumers live who, for example, are already seeing how their smart TVs collect viewing habits and search history to serve them targeted advertising.

Home appliances that clean themselves, applications that connect to service providers, security alerts… these are just some of the things that will change our daily lives. That will do Companies have a larger volume of data used to provide unique experiences to customers and consumers.

Big data reaches consumers

The democratization of data will lead to the later this year Big data is reaching consumers and giving them access to the personal data companies collect about them. This is how they begin to make decisions about how that information is used and make money from it.

In fact, users will demand a greater involvement in the decision-making companies make based on their data Therefore, the balance of power between companies and consumers will change. From Shapelets, they state that “not only will individuals’ privacy be protected better than ever, but they will also take much more responsibility for their own health care and finances”.

Predictive Analysis will begin to be used in the personal sphere

Until now the predictive analytics It was used by large companies to perform statistical analysis. From now on though Anyone with a smartphone or tablet can download applications of this type to take advantage of all the advantages that this science and technology offers. Enterprises’ use of remote servers through cloud computing is why predictive analytics will be portable and accessible to everyone this year.

Artificial intelligence will rely on the crowd

We can say that this year artificial intelligence will find a great ally in “the crowd” because will enable companies to use collective knowledgeor that they collect about users, customers, and consumers to identify patterns that would otherwise be impossible to find.

According to Gartner’s definition of “the Collective artificial intelligence is the aggregation of datasets contributed by individuals or organizations to create high-quality datasets for training machine learning algorithms.” Or what is the same, it is the process of collecting information from people using their own devices or applications to capture events in real-time , which are then shared with other contributors.

Data management is becoming more complex

Data will continue to be critical to businesses. To face the challenge of collecting and analyzing a larger amount of information, they need to look for solutions that allow complex data management. Throughout 2022 we will see artificial intelligence added to data management tools that help discover ideas in the information collected with limited human intervention.

That machine learning in these types of management tools will have a positive impact for data manipulation tasks, such as B. deleting email addresses from text or detecting events in social media posts.

Data Analysis, Big Data, Data, Data Management, Artificial Intelligence, Investing in Data, IoT