The automation is not only a trend in big data, but in many sectors looking to increase their level of business and productivity. So much so, that it is estimated that by 2020 more than 40% of data-driven tasks will be automated.
By 2020 it is expected that there will be more than 20,000 million active devices with the Internet of Things . And logically, the more connected devices, the more data will be available to analyze.
In large companies, where devices with the Internet of Things are being incorporated into daily operations, the corresponding technology is also being implemented to be able to analyze the large volume of data generated.
The result is that we will see many more analytics solutions specially designed for devices with the Internet of Things , which will not only provide relevant data but also transparency around it.
But this trend also has its downside, and that is that 75% of organizations will not be able to reach the full potential of the Internet of Things due to a shortage of professionals in the field of data science.
Another trend with a good chance of being influential in 2020 is In-Memory Computing . As the cost of memory has dropped in recent years, in-memory processing has become a very popular technology solution that offers multiple benefits for analytics .
New persistent memory technologies reduce the costs and complexity of in-memory processing. In this way, we have a massive and highly efficient memory, which supports high-performance workloads.
For businesses, in-memory processing means much faster CPU performance, faster storage, and larger amounts of available memory. For this reason, many industries are already adopting it to improve the performance of their current applications and be prepared for the future.
Up to 90% of large organizations are expected to generate some type of revenue from data as a service (DaaS – Data as a Service) by 2020. Data as a service is a cloud-based technology that enables Clients access digital files over the internet.
Also, since high-speed internet is easily accessible to most consumers, the service is available to a wider audience. The globalization of DaaS will also help bridge the gap between different departments within the same company, offering them the ability to share data easily and faster. And with this, we will also see an increase in productivity.
The big data trend of augmented analytics is growing rapidly to become the dominant method in 2020. Augmented analytics has revolutionized the paradigm by combining artificial intelligence and machine learning techniques to create a new way to create, develop, share and consume analytics.
The augmented analytics market is experiencing a period of great growth, as it is forecast to go from representing $ 8.4 billion globally in 2018 to $ 18.4 billion in 2023.
The benefits of this technology lie in the ability to automate many functionalities, such as data preparation, analysis, and modeling. In addition, it is much easier to interact with the information they generate.
In 2015, less than 10% of large companies were using backups and “still photos” for more than just data recovery. But by 2020, more than 30% are expected to be using them to improve security, privacy, and reliability.
Many companies have large volumes of sensitive personal data in their backups, even if they do not intend to use it. In 2018, 10% of organizations considered personal data backups and archives to be their top privacy risk; By 2020, this will be the main concern for 70% . Undoubtedly, a big data trend to take into account when choosing products and solutions for the coming years.
Mobile devices are being used in a large number of situations: at home, at work, on the road … At the same time, there are more and more personal devices that incorporate technologies such as the internet of things or augmented reality.
The result of all this is that it is expected that in 2020 more than 50% of consumer interactions through their mobiles will be contextual and hyper-personalized based on past and real-time user behavior.
One of the most interesting data trends for 2020 is the technological advance and the change of habits when it comes to personal devices. In addition to the increasingly powerful presence of voice assistants such as , it is estimated that by next year around 5% of people over 65 will have their own personal healthcare robot . It is a very lucrative market, so we can expect a lot of news in the coming years.
Once again, we see how the Internet of Things creates opportunities for big data analytics . Smart cities imply a need to collect, process and communicate large amounts of data.
The applications and data analysis solutions available make the Internet of Things can be used to offer a good user experience to residents and improve their quality of life.
In 2020, it is estimated that 95% of content in the form of images and videos will be analyzed by machines . This market is expected to reach $ 59.87 billion .