Digital transformation trends to look forward in 2022

As the pandemic continued to impact the world, many companies’ digital transformations continued at a rapid pace in 2021. The covid-19 pandemic will continue to have an impact on our lives in a variety of ways in 2022. This means that the digitization and virtualization of business and society will continue at a rapid pace. However, as we enter a new year, the need for sustainability, ever-increasing data volumes, and increasing compute and network speeds will reclaim their place as the primary drivers of digital transformation.

The most important lesson of the last two years or so for many individuals and organizations has been that truly transformative change isn’t as difficult to implement as once thought, if the motivation is there! We will undoubtedly continue to harness this newfound openness to flexibility, agility, and innovative thinking as the emphasis shifts from merely surviving in a changing world to thriving in it.

This article identifies some of the most prominent digital transformation trends that are gaining traction today. Some of them may be familiar to you because they are part of innovations that have been in the works for a long time. However, the majority will be ready for application soon and will take center stage in 2021. So we’ll go over each one in detail to help you understand how these trends will affect your business in the coming years.

Digital Economy: The pandemic, along with the accompanying mandated lockdowns, social distancing, and quarantines, is doing an excellent job of determining which businesses will survive and which will not. Businesses that committed to digital transformation early on find themselves in a better position to weather the economic storm in a world where contactless and social distancing is the norm.

For one thing, companies that had already planned for a portion of their workforce to work remotely prior to the pandemic do not have to sweat as much as non-adopters or late adopters who had to rush remote work setups, often at the expense of costly mistakes.

Supply Chain Management: Supply chains, long thought to be a cost of doing business, are moving out of the back office and onto the value-enabling front lines of customer segmentation and product differentiation. Distributors, manufacturers, retailers, and others are looking for ways to transform the supply chain cost center into a customer-focused value driver. They are getting more value out of the data they collect, analyze, and share across their supply chains.

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Finally, some of these organizations are looking into ways to use robots, drones, and advanced image recognition to improve the efficiency, effectiveness, and safety of physical supply chain interactions. To be sure, transforming established supply chains into resilient, customer-focused supply networks will be difficult, and for most organizations, it will be a never-ending journey – one of critical importance.

Industrial AI: Sophisticated machine learning models assist businesses inefficiently in discovering patterns, identifying anomalies, making predictions and decisions, and generating insights – and are increasingly becoming key drivers of organizational performance. To efficiently move ML models from development to production and management, enterprises are realizing the need to shift from personal heroics to engineered performance.

Many are hampered in their efforts, however, by clumsy, brittle development and deployment processes that stifle experimentation and impede collaboration among product teams, operational staff, and data scientists. As AI and machine learning mature, a strong dose of engineering and operational discipline can assist organizations in overcoming these challenges and efficiently scaling AI to enable business transformation.

Machine Data Revolution: With machine learning poised to transform enterprise operations and decision-making, an increasing number of AI pioneers are realizing that legacy data models and infrastructure – all designed to support human decision-making rather than machine decision-making – may be a barrier to ML success.

As a result, these organizations are taking steps to disrupt the entire data management value chain.  They are deploying new technologies and approaches, such as analytics to identify connections among random data, advanced data capture and structuring capabilities, and next-generation cloud-based data stores to support complex modelling, as part of a growing trend.

These tools and techniques, when combined, can assist organizations in transforming increasing volumes of data into a future-ready foundation for a new era in which machines will not only augment human decision-making but will also make real-time and at-scale decisions that humans cannot.

Digital Workspace: As the world’s largest unplanned work-from-home experiment continues, many business leaders are left wondering: Will remote work become the norm or the exception once the dust settles? Is it possible to sustain a permanently remote workforce? How will this affect productivity and employee well-being? Will innovation suffer as a result of a lack of face-to-face peer connections? What will the physical office’s role be?

This can assist organizations in optimizing individual and team performance as well as personalizing the employee experience through personalized recommendations, allowing remote work to be far more than a diminished substitute for the traditional office.

And, as onsite workspaces and headquarters evolve, businesses can use this data to build thriving, productive, and cost-effective offices that are seamlessly integrated with the remote experience.

5 G Network: To increase mobile connectivity, the fifth-generation or 5G network is expected to either replace or expand the current 4G LTE connection. It provides an exponential increase in speed, much faster than the previous generation could ever hope to achieve. For example, LTE connectivity typically tops out at 300 Mbps, whereas 5G operates at around 2gbps.

However, 5G is about more than just faster download, upload, and streaming speeds. It is a technology that will enable other technologies to flourish. 5G also provides low latency, allows for dense deployments, and generally improves cellular technology. Incorporating the Internet of Things (IoT) and cloud-based systems into your workflow will become easier and less expensive as a result.

Wi-Fi 6: One of the most recent developments in Wi-Fi technology is its name. The Wi-Fi Alliance, the organization in charge of creating Wi-Fi technology standards, changed the labelling scheme to something less technical.

This is now also applicable to previous versions. As a result, instead of 802.11n, 802.11ac, and 802.11ax, they will be known as Wi-Fi 4, Wi-Fi 5, and Wi-Fi 6. However, from a technical standpoint, Wi-Fi 6 does bring a slew of improvements to the table. It has a much faster download speed than the current one—at least four times faster. More than that, it can support a wider range of devices.

This is significant because the Wi-Fi network is expected to grow fivefold over the next few years. That load exceeds the capacity of Wi-Fi 5. As a result, the new Wi-Fi technology will save our connection in terms of both speed and data consumption.

We’ve passed the point where utilizing cutting-edge technology is limited to large corporations with large budgets. The pandemic, along with mandated lockdowns and changes in customer and market demands and requirements, is forcing businesses to adapt to digital transformation.

To put it bluntly, those who want to stay in business must stay up to date on the latest digital transformation trends. While looking out for a digital transformation partner for your business, ensure you find an experienced one like Transmogrify that can cater to all your business needs and can help right from digital transformation consulting to implementation to managed services.