The year 2018 is also being referred to as the year of intelligence. This is because there have been a number of exciting advances in the world of deep learning, artificial intelligence, data science, and the Internet of Things. It looks like technology as a whole is rapidly improving, at an accelerating rate.
As the new year opens, exponential transformation in a number of different industries is being expected. According to the experts, the year 2019 will be a miraculous one for the Internet of Things, making it rather intelligent, and uncovering a great amount of potential for smart cities and smart residences.
Atop that, a better machine-human interaction is expected to become established, improving a myriad of automated processes.
In this article, we aim to talk about a number of trends in the world of deep learning and data collection that are taking off by the end of the year. Atop that, we talk about the expectations that we have for the year 2019.
Firstly, business strategies will become shaped by artificial intelligence and deep learning. AI strategies are expected to get implemented by thousands of businesses this year. The number may reach a million by the end of the year 2019. This will allow business processes to be able to collect a wide range of data, ultimately being able to process 100000 to 1000000 transactions in a single second. Just imagine the implications that it could have. Such a process will simply remove the need for human labor that would otherwise take thousands of hours, and will simply process the data within mere seconds.
The improvement in data collection through the use of artificially intelligent systems also mean that banks and financial institutions will be able to implement a greater level of security. Ultimately, it will help in the prevention of fraud and money laundering. Previously, fraud detection processes were extremely complex due to the high amount of data to be consulted. Artificial intelligence, however, does it in the blink of an eye.
Atop that, there seems to be a significant amount of improvement in deep learning, which is the next stage of machine learning. This is because systems that combine both the machine learning and machine systems have already improved drastically.
Indeed, the brave ideas that people found hard to believe just a decade ago, are finally coming to life. All credits go to fast improvement in the world of deep learning and data science.
Currently, deep learning and data collection face a number of challenges because the computations often happen to be extremely complex. However, in order to speed up the experiments of deep learning, faster hardware is being developed. An example would be the new high-end GPUs that contain a high number of cores and the latest architecture. Within the next three to five years, we can expect software solutions to be developed within several days as compared to an average current time period of several months.
In the coming year, companies are also expected to be using a greater amount of data which will be collected via ticket systems, DMP, BMP, CRM, and omnichannel platforms. In order to reduce the amount of time taken, a number of startups are expected to spring up from scratch in order to develop new methods for data collection. This will further reduce the time and cost. Indeed, the expectations from the coming year are huge!