Five Latest Developments in IT Solutions
The IT solutions are never holding still. This quick, ever-changing stream is full of technology, techniques, software frameworks and endless ideas. The list of emerging developments in technology can be permanent. In this pole, we would like to concentrate on the top products in information technology expected to shape 2019.
Trends in Information Technology: Current Situation
Looking back at the 2018 forecast of the top technology developments, we note that they have turned out to be accurate and that these forecasts have become part of our reality.
Cloud computing has been expected to broaden its influence. The IDG survey reveals that the cloud actually aged in 2018:
Seventy-three per cent of companies already have at least one application or part of their cloud computing infrastructure. And 17 per cent of respondents are planning to do the same within the next 12 months.
The average cloud budget is rising from $1.62 million in 2016 to $2.2 million in 2018.
Forty-two per cent of organizations use multi-clouds.
The number of industrial robots delivered in 2018 rose by 30% relative to 2017.
Income on the smart home market amounted to $53,235 million in 2018, an increase of 42.3 per cent year-on-year. Revenue in the connected vehicle market contributed to $18,438 million, up 25.9% year-on-year. According to IDC, the global demand for wearables is expected to ship 122.6 million units in 2018, up 6.2 per cent from the 115.4 million units delivered in 2017.
Both new innovations are emerging hand-in-hand and eventually influence each other. Mobile internet, for example, relies on cloud infrastructure and encourages the growth of IoT. As a result, a breakthrough in one area stimulates innovation in the other.
Artificial intelligence (AI) and machine learning (ML) have been the headliners of new technologies over the past year. They have been debated at all levels across sectors. You can hardly find a company or sector that does not benefit from introducing ML algorithms and AI-based tools. Yet not every company was ready to move its practices from traditional ways of working to smart machines.
In the food industry, algorithms determine when such goods will run out of supply and coordinate timely distribution. This will foster a balance between supply and demand and lower costs. ML will track the condition of the spare parts in manufacturing and engineering and predict when repair or maintenance is necessary.