Trendsetter technologies are the future.Technologies which will become trendsetters after 2019 are needed to be reviewed.Presently these are in stage of evolution and adaptation.There are some of the technologies which are very promising but IEEE felt that they will reach broad adoption after 2019. Technology experts of  IEEE Computer Society (IEEE-CS) will consider these technologies again next year.

Following are those Trendsetter Technologies which may become trendsetters after 2019:-

1-Digital Twine- These are software representations of assets and processes to understand, predict, and optimize performance for improved business outcomes. A digital twin can be a digital representation of any characteristic of a real entity, including humans.

The choice of which characteristics are digitized is determined by the intended use of the twin. Digital twins are already being used by many companies: according to analysts, 48% of companies in the IoT space have already started adopting them.

This includes digital twins for very complex entities, such as an entire smart city (for example, Digital Singapore). Digital twins are also expected to play a transformational role in healthcare over the next three years.

2-Real-Time Ray Tracing - RT² has long been considered the Holy Grail for rendering computer graphics realistically. Although the technique itself is quite mature, it was too compute-intensive to perform in real time until recently—so all ray-traced scenes had to be scripted and rendered in advance.

In 2018, we witnessed the debut of a consumer product family with RT² capabilities. In the next couple of years we expect to see incremental iterations until true RT² is widespread. Initially, we expect the growth to be driven by consumer applications, such as gaming, followed by professional applications, such as training and simulation.

Combined with Virtual Reality (VR), this technology could open up new frontiers in high-fidelity visual simulations. It can be used in simulation of aircraft flight,disaster pattern prediction,sea bed activities etc.

3- Serverless Computing-This is used to refer to the family of lambda-like offerings in the cloud, such as AWS Lambda, Google Cloud Functions, Azure Functions, or Nuclio. Serverless is the next step in the continuum along the line of virtualization, containers, and microservices.

Unlike IaaS, in serverless computing the service provider manages the resources at a very fine granularity (all the way down to an individual function). End users can focus on the functions and dont have to pre-allocate instances or containers or manage them explicitly.

While its still at an early stage of adoption, theres appeal on both sides (better resource utilization for the providers, and pay-for-what-you-use for the users), so we expect that it will pick up rapidly and we will start seeing significant adoption in the next couple of years.

Emergency Manager thinks that these Trendsetter Technologies will also shape the future of emergency management and disaster management .
Real-time ray tracing has potential to be used in simulation of disaster scenario in different terrain and climatic condition.It can be used in training and prediction of disaster management.

Digital twine has the potential to be used in running disaster management operations.It can help in better resource allocation during search and rescue operations.It can also help the commander of control room in taking decision in doing best possible utilization of rescuers for a search and rescue operation.It can also help in other aspects of disaster and emergency management.