Top IT Trends That Will Influence Market Intelligence

Market Intelligence: You’ve undoubtedly heard of digital transformation. The term relates to the evolution and constant changes in the development of digital solutions. This post will present the main trends for the coming years.

Multi Experience

Multi-experience was one of the trends most emphasized by Gartner, an American consultancy that has become a benchmark in the technology market. In this context, we have the expansion of the computer: it ceases to be a fixed point, spreading across several access points.

In this way, we have another way of providing mobility to companies since this trend shows that the accessibility of computational resources must expand considerably. Thus, instead of having to move to use a fixed part, the user starts to interact with the technology wherever he is.

Multi-experience is also favored by 5G, which is much faster than the technology found in most cell phones in the country, 4G. 

Artificial Intelligence

Artificial intelligence and its derivatives, such as machine learning, continue to expand rapidly worldwide. It allows for exponential business growth with personalized service, favoring the customer’s experience.

And what does this have to do with market intelligence? All! AI-powered analytics tend to enrich processes such as automation by providing greater insight into data collection.

As if that were not enough, cloud computing and APIs, application programming interfaces, are facilitating access to artificial intelligence and machine learning solutions for small and medium-sized organizations.

Thus, in 2020 we will see more companies using artificial intelligence to drive large-scale data storage and sharing. This way, the competitive advantage goes beyond technology, expanding to more versatile application forms.

Augmented Analytics

This technology is seen by many analysts as the future of Big Data and Business Intelligence tools, as well as other forms of data analysis, the primary source of information to facilitate decision-making in the corporate world.

Augmented Analytics (“augmented analytics”) appears to treat data with more attention and agility. It can analyze, treat and separate them more intelligently, generating insights ready to be shared and used by the company.

In other words: it is a great leap for professionals such as analysts and data scientists and a competitive differential for companies of different sizes. It is also an evolution applicable to automation algorithms, providing more effective ways to transfer bureaucratic tasks to machines.

In addition to creating valuable insights for the business, the great advantage of Augmented Analytics lies in the ability of this technology to identify hidden patterns in databases, which helps professionals to more easily remove personal bias from the analysis. This generates more objective information for the business.

Edge Computing

Edge computing is the name used to represent the network of “edge” devices, a definition that encompasses any equipment connected to the Internet. This involves everything from autonomous vehicles to drones and the Internet of Things.

Finally, it is a computing resource with the aim of decentralizing applications, bringing it closer to trends such as multi-experience. The main goal is to increase the possibility of interaction between the Internet of Things and the cloud, especially about remote installations.

This trend will help improve the connection of networks in remote places, far from the most potent Data Centers. Factories located in low-population regions will be connected to headquarters, for example, introducing more intelligent systems in different types of business.

Cloud Improvements

Since we mentioned the many benefits of cloud computing throughout the article, we could not fail to highlight the great expectations surrounding the expansion of this technology in 2020. It will gain even more traction with the possibility of being frequently combined with artificial intelligence.

Even farms collect and analyze real-time data to generate more market intelligence and exponential growth. Interestingly, this is done without acquiring many computers and other equipment but with the connection to cloud computing.

In addition, the trend is for the cloud to be more associated with quantum computing, as giants like Google promise to join smaller companies to share the impressive performance of their systems. It is yet another source of market intelligence that will be accessible to small and medium-sized organizations.

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