Many parts worldwide were still adapting to living with the Covid-19 pandemic at the beginning of 2022, which is still far from being over. Digital transformations continue to grow with no signs of slowing since sales have gone from a mostly analog experience to an almost digital one.
Most employees and customers are now shifting towards online and remote instead of in-person interaction. All this means that organizations will need a clear roadmap regarding new technologies to help them survive and prosper in whatever economic and social headwinds they may face in the future.
That’s primarily the focus of this article. Read on for more information on the digital transformation trends that will likely impact your business model or sales process.
- 5G Networks Everywhere
5G networks continue to enhance wireless capabilities globally. 5G global connections now exceed 438 million, which means they are headed towards becoming the dominant global standard for wireless cellular communications. The 5G network performance increase will significantly impact many other technologies, such as cloud processing and other new use cases in many industry verticals.
- Cloud Computing Providers
Cloud computing is a critical resource for businesses confronting digital transformation. Cloud computing is the delivery of computing services, which include analytics, networking, databases, servers, and many more over the Internet to offer faster economies of scale, flexible resources, and innovation.
Cloud computing providers allow network-based access to communication tools like calendars and emails. Organizations are now leveraging cloud computing providers to use processors best suited for their nature of work instead of investing in expensive CPUs and GPUs.
- Edge Computing
Edge computing is an emerging distributed information technology model that brings computation and data storage closer to data sources. It’s about processing data closer to where it’s being generated, enabling processing at greater volumes and speeds, leading to real-time action-led results. You and your organization should leverage edge computing if you rely on real-time insights.
- Machine Learning and Artificial Intelligence
Machine learning is considered a subdivision of artificial intelligence (AI). It’s about the algorithms and technologies that enable systems to determine patterns, make decisions, and improve themselves. On the other hand, AI refers to the general ability of computers to mimic human thought and perform tasks in real-world environments. Machine learning and AI, and other associated technologies continue to resurrect traditional business models from chaos to a cost-friendly and efficient workflow.
- Robotic Process Automation
Robotic process automation is an application of technology that makes it easy to build and manage software robots that mimic human behaviors. Technically, robotic process automation relieves human workers from repeating dull and repetitive tasks, improving efficiency and accuracy in business processes. These effective collaborations are becoming more common in many organizations, especially in the manufacturing industry.
Conclusion
The impact of digital transformations has become much more apparent and tangible in recent years than it was in the past. It’s more likely to accelerate in the coming years, even in the economic sectors where the digitization and technology aspects were once overlooked or rested. It’s no surprise that many companies are already embracing and taking advantage of potential opportunities from a newer, digital way of undertaking business.