Science & Technology

Top 5 Technology Trends for Companies in 2019

Top 5 Technology Trends for Companies in 2019

After a turbulent year, with uncertainties and new political decisions, the market expectation for 2019 is a resumption of investments. And the technologies are on the wish list for companies that want to have modern and effective performances.

Faced with the democratization of access to technology-driven primarily by the way cloud applications are sold, some systems once reserved for a small group of companies – with more money – are now more accessible within a broader range of business, especially when projects are managed with mastery and experience.

Solution Tales listed the top five trends in the 2019 companies. They are:

Expansion of agile methodology

“Agile practices are no longer restricted to the IT environment, to software development. Nowadays – and more and more – they are expanding into the business areas. Agile practices provide organizations with an approach that improves efficiency, adds more speed and autonomy at their core, advocating a process that includes task breakdowns in short work cycles and frequent reappraisals and adaptations. As an economist and business guru Tom Peters says, agile practice allows companies to test fast, fail fast and fix quickly. It is possible to organize a company around lean, multidisciplinary and innovative teams to put into practice small-scale ideas that dribble the internal bureaucracy wisely, beyond the uncertainties and complexities of the market.”

Big Data and Dark Data

The amount of information generated in all industry segments is huge and demands collection, analysis and implementation process from the insights brought about by certain data. It is this process that allows a company to be ahead of the competition. The big data in the cloud, for example, allows even small businesses to take advantage of the latest technology trends and have access to great growth opportunities. In this context, it is important that companies also consider Dark Data – digital information acquired by various computer network operations that are not used for insight or decision making. As analyzes and data become everyday aspects of organizations.

Internet of Things

“Research reports with the latest industry trends reveal that IoT will generate more than $ 300 billion per year by 2020, with the global IoT market expected to achieve an annual growth rate of 28.5 percent. The new generation of internet platforms of things can help companies combine new data sources with the already traditional ones by examining information in real time. This type of initiative allows for new data correlations and is fundamental to questioning institutional thinking, as well as speeding up changes.”


“Data from the consulting firm Gartner show that only 10% of traditional enterprises will have made radical transformations with blockchain technologies by 2023. It is a blockchain in which each block (database) is connected to the next through a public registry (Public Ledger). This decentralization of registries increases the security of the operations, avoiding the action of hackers. There are three main areas of business that are expanding with the use of blockchain: data referral, retail payments, and consumer loans. Respecting the learning curve time, blockchain is a solution that has come to stay, can be deployed by an IT team or be contracted as a service.”

Among the key gains, the executive lists:

  1. Access to new technologies;
  2. Possibility of testing a new technology without necessarily taking the risks inherent in the process;
  3. Customer support;
  4. Solutions compatible with the size of the company;
  5. Reduction of costs, especially energy.

Another advantage is that if any problem is detected in the process, it is easy to go back to the origin point.

Machine learning

“Derived from artificial intelligence, machine learning implies computers or robots programmed to learn to perform something that was previously restricted to humans. This trend has been rapidly absorbed by many industry sectors, generating demand for highly skilled professionals. So much so that this market is expected to reach 8.81 billion dollars by 2022 – generating more jobs for engineers, developers, researchers, and data scientists. When thinking about machine learning applied to project management we glimpse the artificial intelligence filling spaces that until they were left blank. New data is being generated and transformed into missing information – or even that it has never been considered in its overall importance to a project. This certainly ends up encouraging employees and staff to improve their level of professional performance, delivering results much closer to the desired level of excellence. When this does not happen, the technology itself is able to detect problems and suggest corrective solutions – albeit complex ones. This is a very significant, useful and powerful advance for companies.”

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