Providers of business analytics (BI) solutions and data analysis software applications need to follow current strategic trends to create even more efficient and useful solutions. Business consumers, in turn, must also be aware of the changes brought about by the so-called destructive status quo technologies to make better use of already installed business analysis systems. Among the hottest trends in 2020 are security based on artificial intelligence, blockchain, hyperautomation and others.
Rapidly evolving technologies such as hyperautomation provide benefits to companies that have opted for an accelerated transformation to the digital age. However, they also carry security concerns as they "open up" new points for potential attacks. Security experts need to address these challenges by learning more about the impact of artificial intelligence on both threats and security.
Security related to artificial intelligence technologies includes the following measures. First, platforms that rely on artificial intelligence must be protected, and machine learning (ML) models, as well as training based on artificial intelligence, must be protected. Second, artificial intelligence must be implemented to improve security and machine learning must be used to understand models and automate cybersecurity procedures. Third, protection against the use of artificial intelligence by hackers must also be provided.
Blockchain technologies for business adapt only practical methods, and organizations use only useful elements of the whole blockchain technology. Authorized users have access to the same data, and a shared blockchain chain simplifies integration. Experts predict that in the future, a "complete blockchain" or "true blockchain" has the potential to transform industries and the economy by integrating additional technologies such as the Internet of Things and artificial intelligence.
Even more autonomous devices
Autonomous objects such as instruments, ships, robots and drones use artificial intelligence to perform human tasks. These technologies use semi-autonomous or fully autonomous intelligence in a number of environments, including on land, at sea and in the air. In addition, autonomous sites will extend far beyond controlled environments such as warehouses and shops, becoming increasingly functional in open spaces. The autonomous devices are expected to move to common "collaborating" swarms of stand-alone devices - similar to the drone swarms deployed in many places during the 2018 Winter Olympics.
This technological trend concerns the diversification of public cloud services in places outside the traditional large data centers of cloud providers, while remaining under the control of providers. With distributed cloud, the manufacturer takes care of all elements, including the architecture of the cloud platform, management, updates, operations and service delivery. The advantage is that providers can deploy their data centers anywhere, and this helps to address both regulatory and technical challenges such as data sovereignty and their controlled latency. In addition, users receive the combined benefits of public and private clouds.
Peripheral computing is a growing trend that supports traffic allocation so that it remains most often local, which minimizes delays. In this way, the collection and delivery of content, as well as the processing of information, are becoming closer to data sources. The more powerful peripheral computing capabilities use IoT technology and move vital services and applications closer to users and their devices.
Better traceability and transparency
Software developers such as data analytics and business analytics solutions need to make their platforms secure to protect the confidential data of their corporate customers. End-users are concerned as the businesses that serve them are increasingly using artificial intelligence and machine learning technologies to make decisions that have been entrusted to humans until recently. This trend reinforces the need to implement processes such as artificial intelligence management and "explicable in simpler language" artificial intelligence. As a result, we can expect more GDPR-type regulations to be developed and implemented worldwide.
Adding to human perceptions
The improvement of human perceptions (so-called human augmentation) is a very controversial trend that uses technology to increase the physical and cognitive capabilities of man. This topic raises a series of issues of an ethical and cultural nature. The introduction of CRISPR technologies, for example, improves genes despite ethical concerns. In the business world, the mining industry uses wearable electronics to improve worker safety. Other vertical segments such as travel and commerce also rely on wearables to "boost" employee productivity.
Civic access means democratizing expertise and technology, thus giving consumers access to business and technical knowledge without the need for in-depth and continuous training. This trend focuses on areas such as design, knowledge, application development, data and analysis. It can help active people get involved in DIY initiatives and become "citizen" programmers, data scientists, etc.
Multisensory experiences are created using multipoint and multi-sensor devices such as advanced computer sensors and wearable electronics. This trend is expected to develop more and more over the years and to become the so-called surrounding experience. Multisensory experiences include immersive experiences based on sensory technology, mixed reality, virtual reality and augmented reality.
Hyperautomation improves the tasks to be automated using technologies such as artificial intelligence and machine learning. It allows organizations to visualize how processes, functions, and KPIs interact to increase added business value. Because there is no application that can completely replace humans, hyperautomation involves a combination of components. These programs include intelligent business management platforms such as BI solutions and robotic process automation tools.