Because of the tendency to not want to get rid of legacy technology in business, and instead build upon it with new apps, workers are often frustrated and disengaged due to overly complicated business workflow. In the year ahead, it is expected that more companies will finally eliminate digital noise in favor of solutions that actually simplify work.
The coronavirus pandemic has shown us that most jobs have not yet gone to a remote work model because companies often had not seen the value in doing so—not because the work can’t be done remotely. With increasing globalization for companies of every size, working 9 to 5 in physical offices is about to be completely disrupted. Flexibility in working hours, the gig economy, and more remote positions are expected to be one of the biggest innovations in the future of work--especially when it comes to tech jobs.
New ways of thinking about development will spur a new era of microservice applications. A microservice architecture means that services can be developed, deployed, and maintained independently. One tremendous benefit of these microservices is it will make it easier to identify hot services and scale them independent of the whole application.
Additionally, they offer better full isolation so that in case of an error in one service the whole application doesn’t necessarily stop functioning. Once the error is fixed, that specific service of the application can be redeployed without the need to redeploy the entire application. We may even see a trend where major cloud providers begin to move into corporate data centers to deliver “Everything As A Service.”
One of the biggest debates since cloud services began is whether a public or a private cloud is better. It seems that the debate will soon be settled as companies meet in the middle to adopt hybrid cloud services. This means that they will have the flexibility to use only the cloud services they need when they are needed in order to achieve their business goals.
The era of spending years in pursuit of a traditional college degree in technology is swiftly coming to an end. Accelerated learning courses, such as coding bootcamps, are accelerating the pace at which new innovations are made by teaching tech skills and getting people working in the industry faster than ever before. This accelerated learning path is suitable not only for those entering the world of technology but also as continued education for technology professionals. As universities adopt this accelerated learning model, it is possible that we see education at every level change to a more focused and student-oriented approach.
On the other hand, online education threatens to increase competition between universities. A sort of new challenge - i.e. if every university from Cambridge to Stanford University would go online, then the consumer (an applicant or a student) would not care of location of university. Most likely that a person from a small town, where are not so many opportunities for education, would choose a promoted university as Oxford, Cambridge, Princeton University, etc. rather than a university in his or her small town, because the labor costs for the development of online materials are the same, but the education diploma is more valuable. In other words, those universities that are outside the conditional TOP-10 will have more issues in involving new students.
Moreover, if we are talking about online means of education or special online courses, where a person could get a profession in one year, it tends that people some time later would choose this type of education, as we are living now in the world where everything changes rapidly.
Augmented analytics and augmented data management are two main trends from the ten most promising areas in the field of Data & Analytics according to the Gartner research. It is predicted that these technologies will begin to dominate in 2020, and the demand for them will increase in the next 3-5 years. However, digital transformation is not a goal, but only a means of transferring an enterprise or an entire country to an optimal state using modern IT tools such as the Internet of Things, Big Data, Machine Learning and other artificial intelligence methods. From a business point of view, the main benefit of all these technologies is the optimization of current processes and the generation of new opportunities.
Thus, technologies move to the next level of abstraction, allowing not only to solve current problems, but also to set new ones.
These are only a few of the potential ways that the future of work will change during the next decade. As new innovations arrive, it is anyone’s guess how businesses and organizations will need to adapt to these changes. One thing is for certain and that is we are in for an amazing shift in the old paradigms as we enter the fourth industrial revolution.
The article is written in cooperation with Career Karma.