4.Predictive Analyticsanalisis predictivo
It is not a novelty in the trend lists, but it deserves to appear again in the 2022 list because predictive analytics tools will continue to change the game’s rules in all industries.
Predictive Analytics plays a crucial role in data analysis and data lake consolidation if we talk about efficiency. It will undoubtedly be at the top of new projects, especially in the IT ecosystem. In addition, it will be crucial to driving IoT technology and cybersecurity.
5.Edge Computing and Native Edge 
We are at a time when sovereignty and edge computing needs have accelerated cloud adoption in organizations worldwide. Cloud-native platforms are set to play a critical role over the next year, accounting for 95% of new digital initiatives within three years.
Companies that have already embraced this cloud model have seen how it has completely transformed their business and operational and governance models. Edge computing is designed to counteract the centralization of the cloud and bring capabilities and resources closer to users in real-time.
6.Distributed Companies
Many companies are still in a time of transition or adaptation to hybrid work models. The pandemic has forced many of them to take them on, but the decision to maintain them over time is a move that is being made thoughtfully and firmly. The rise of remote or blended models has meant that this evolution to distributed work has gained momentum globally.
The benefits of these distributed business models are already being seen and expected to deliver revenue growth 25% faster than competitors in traditional models.
7.Low-Code Services
We are moving towards the democratization of data and technology, so it was to be expected that one of the significant-tech trends of 2022 will be low-code services. Over the last few years, we have seen how a growing number of society’s skills and tools have been made available to benefit innovation.
Lack of experience or expertise has been the trigger for popularizing self-service and “low-code” solutions that, coupled with AI and IoT infrastructures, are becoming more common among companies that do not have a single server or cognitive code of their own. As a result, these no-code interfaces will gain ground, leaving behind barriers to accessing these services.
