Trend Monitor 2019: faster, higher, further

Wednesday, 16. January 2019

Trend Monitor 2019:
faster, higher, further

The last years have shown how fast technology trends can emerge and sink into oblivion again. Experts say that 2019 could be the fastest year ever. Thus, it’s very important for organizations to deal with the newest developments every year. This is the only way to identify opportunities, but also risks in due time and to ensure their competitive edge. Raise the curtain: We present our three most promising technology trends for 2019!

Autonomous Things: the next development stage of AI

Roboter weiss webRobots concerned (contrary to many dark sci-fi scenarios) with our security are no vision of the future any more. Enterprises like Microsoft and Uber use them already in order to watch parking lots or large perimeters and to predict criminal activities. Those AI-driven robots are just one example for “Autonomous Things”. According to Gartner, they are one of the top 10 technologies for 2019: “Our future will be characterized by autonomous, intelligent devices", predicted David Cearley, Vice President Analyst at Gartner, at the Gartner Symposium in Orlando 2018.

Cars, robots, UAVs, household appliances or agricultural machines: Autonomous technologies use AI to take over tasks traditionally performed by human beings. And yet “autonomous things” should interact with their environment independently and naturally — a goal that will finally be within reach in 2019.

Organizations should be comfortable with experimenting with autonomous AI technologies. However, they shouldn’t forget that the devices are still far from keeping up with human brains: They work best within clearly defined ranges of use and still often need help when it comes to decision-making, intelligence and learning independently.

Smart Analytics: using Big Data in a clever way
 
Datenchaos web

Help in the big data chaos is on the way: In 2019, new possibilities for analyzing data will enable drawing sensible conclusions and predictions from big amounts of data. Automatized algorithms can provide new analytic results, make hidden patterns visible and formulate concise hypotheses. Their benefit: In contrast to human data scientists, they examine amounts of data completely impartially. 

According to Gartner, from 2020 on, smart analysis tools will most probably take over more than 40 percent of the tasks in data science — the pleasant result: Efficiency and productivity will rise in many companies within the years to come, since insights from analyzed amounts of data are instantly available and feasible for all relevant user groups. Our tip: Go for smart analytics and intelligent (strategic) software in time in order to tackle huge amounts of data and not to lose track. 

Quantum Computing: new high performance for computers

buchtisch webUnlike digital computers, quantum computers don’t work on the basis of the laws of classic physics resp. Informatics, but use quantum mechanical principles — thus, in theory, they are able to operate millions of calculations at the same time. In order to make the difference between traditional computers and quantum computers clear, you can image a huge library filled with books: While a classic computer would have to read every single book, a quantum computer could view and assess all the books simultaneously. 

For a long time, quantum computers have been a rather theoretical concept. In the recent year however, more and more computer companies have promoted their development. Commercializing quantum computers is progressing and, according to Gartner, this will disrupt some industries, for example finance and health care — the technology enterprise however emphasizes that quantum computing still is at a developmental stage. For organizations, 2019 is a good time to deepen their understanding of new technology and to learn more about potential application scenarios.

Conclusion: experimenting with a sound judgment

Just as the past years, 2019 will provide us with some exciting technological innovations — even by now, some of them are ready to integrate into our digital every day (working) lives. Others are still in their infancy. Organizations need to note the following: It’s okay to analyze, discuss and maybe also to test — as long as they keep data protection in their minds. Since one thing is for sure: Consumers become more and more aware of the value of their personal information and want to be sure how companies make use of those. Our tip: Go for maximum transparency when it comes to data security and processing — then, there shouldn’t be any obstacles for using current technologies!