In a world where change is constant, the key lies in innovation, which is why it is essential to know the technological trends that will set the course this year.
Analyst reports indicate that ransomware will continue to be one of the top threats to corporate information security, due to the risk of data loss, theft, or exposure that this entails. This threat has become stronger in recent times with hybrid work modalities and remote work, while attacks have become more sophisticated and persistent.
Originally, traditional security approaches focused on the network perimeter: the firewall. These devices become ineffective if they operate as independent security strategies. Given this, cybersecurity strategies and architectures must be reassessed. An approach that is increasingly accepted is the so-called zero trust (literally “zero trust”), which has emerged as an effective model to better address the cybersecurity challenges of the modern company since it is assumed that all users, devices, servers, and network segments are inherently insecure and potentially hostile. The zero trust vision security, from edge to cloud, improves the overall security posture of the network by applying a more rigorous set of best practices and security controls to network resources that were previously considered trustworthy.
In 2022 we will be in the midst of the second wave of digital transformation where the way of provisioning technology will be strongly based on pay-per-use models. This is because compared to traditional purchasing models, pay-as-you-go models free up capital by avoiding large and over-provisioned upfront investments. This freed-up capital allows it to be used for exactly what organizations expect from IT: innovation, generation of new services, and value with technology.
Until now, the cloud experience with its pay-per-use models, scalability, and agility have catalyzed digital transformation in organizations. However, with more than 70% of applications residing on-premises, the challenge will be to modernize traditional native applications so that they can harness the value of data, for example with machine learning and artificial intelligence, and with a scalable, agile, open, multi-cloud, pay-as-you-go approach to innovate and transform business.
The ability to deliver digital services to anyone anywhere has increased the deployment of edge computing technologies, which has changed our world for the better, breaking down the barriers between the physical and digital worlds. The edge is where, for example, the Internet of Things (IoT), artificial intelligence, and ultra-fast 5G networks converge. Until today, most organizations captured this edge data for momentary use, however, now they will need to process it closer to where it is generated, in order to make decisions in real-time, and thereby build the foundations for innovation, differentiation of services, optimization of resources and customer loyalty.
To meet the needs of data processing at the edge, devices infer decisions based on learning models with AI technologies that perform their learning and training centrally in hybrid clouds, and then the results of that learning are brought back. back to the edge so that the devices make decisions against the new data obtained. But as the processing power of IoT devices increases, these devices will begin to learn for themselves and will be able to develop machine learning techniques locally.
To avoid the bias that can be introduced by relying on limited training data sets, the trend today is for edge devices to be able to learn and analyze data from multiple sensors, a concept known as swarm learning . . For example, connected X-ray machines in a hospital that treats many tuberculosis patients can share knowledge with another location that sees more pneumonia cases. The ability to analyze lung X-rays at both facilities improves, while patient data is not shared.
If you look at the industry as a whole, the 5G network has been designed from the ground up to really give the telecom industry differentiators that others can’t just copy, so to speak. With the advent of smartphones suddenly those smart and fast networks became something someone else made money off of. Operators are now much more strategic in terms of how they view their investments, as by bringing new capabilities to both consumers and businesses they can monetize effectively. So the opportunity is huge.
The challenge that carriers have right now is building an ecosystem around that because they don’t have the in-house R&D capacity to develop those apps themselves. They need a very viable ecosystem of independent software vendors, infrastructure providers, and integrators around them to monetize their investment in the 5G network.