Top Digital Transformation Trends in 2023


                           Top Digital Transformation Trends in 2023

Any organization that tries to keep up with the rapid-fire pace of customer experience technologies may get exhausted. Yet it's never been more crucial to understand where digital transformation is heading when it's a key component of your organization's success. And as customer expectations evolve, the technology that was essential yesterday may not deliver the same great experience tomorrow. Keeping up with new developments in digital transformation involves having complete faith in the future of your company in a dynamic environment.

For this reason, CIOs and IT directors should evaluate their 2023 digital transformation strategy and goals taking into account the effects of inflation, a probable recession, and ongoing supply chain threats. These trends suggest that IT leaders should dial up programs that will drive more efficiencies, cost savings, and risk reduction in their 2023 transformation priorities.

How relevant is Digital Transformation today?

Digital transformation refers to integrating digital technologies across all facets of your business in order to run more efficiently in a digital economy. An organization can create superior client experiences and build long-lasting loyalty as a result of an effective digital transformation.

When an organization invests in digital transformation, it puts customers and their needs first. Every instant seems relevant and individualized when people, procedures, and technology are reoriented to serve the customer. Employee productivity and inventiveness increase behind the scenes as a result of the automation of manual marketing chores. And when businesses move workflows from physical files to digital files, they eventually turn more sustainable.

Key Digital Transformation trends that are expected to rule in 2023

Every organization benefits from digital transformation, ranging from ecommerce shops to the supply chain. Additionally, you may reach your customers where they are in real time and on a large scale with the correct technology in place. Here are the key Digital Transformation trends that are expected to rule in 2023:

1. Improve workplace experiences iteratively and determine the nature of the future of work

Workers have had remote and hybrid work experiences over the past few years, and IT administrators should leverage 2023 to iteratively enhance organizational experiences. According to a poll by Owl Labs, 62% of employees worldwide have chosen to work hybrid hours, while 16% of all employees are working remotely. Only 22% of the entire workforce works exclusively from an office.

Utilizing employee surveys as a tactic can help gauge how satisfied employees are with the technology they use on a regular basis.

To help uncover network performance and other issues affecting end users, operations should also implement monitoring tools for the digital experience. But forward-looking IT leaders will also define a vision for the future of work in their organizations. A future of work vision shows how employees will leverage technology to enhance operations and create new products, services, and innovations as there are more opportunities to automate jobs.

2. Deliver more machine learning to production with MLOps and ModelOps

Despite the fact that many businesses invest in machine learning experiments, polls reveal that businesses find it difficult to apply machine learning models in real-world settings, track their success, and support ongoing model upgrades. For example, in the State of ModelOps 2022 report, 51% of those surveyed had conducted early pilots or experiments but have not yet put them into use.

As we enter 2023 and many business executives start to feel the pinch financially, that number is concerning. This may tighten investments in experimental data science areas that aren't producing results. The same report mentions that 86% of C-suites are now demanding answers regarding their AI investments' ROI, but 48% of organizations working in data science struggle to supply them.

MLOps and ModelOps are two practices and technologies that can help organizations address the gaps in bringing models to production and demonstrating financial returns. These platforms should be taken into account by IT and data science teams looking to increase their machine learning efforts to shorten the time, cost and complexities of delivering and supporting machine learning models in production.

3. Plan for digital twins, metaverse, as well as sustainable infrastructure

Digital twins, metaverse and sustainable infrastructure are developing technologies that are ready for experimentation by early adopters. The global market for Metaverse is expected to be worth $47.48 billion in 2022 and has a strong CAGR of 39.44%. The value is anticipated to increase to $678.80 billion by 2030.

In particular for industrial, manufacturing, and construction enterprises, digital twins are an overhyped but very promising technology. Large businesses in these sectors ought to look for possibilities where digital twins might enhance on-the-job training, lower operational safety hazards, and consequently transform their product offers.

Many public companies have announced environmental, social and governance (ESG) objectives. Every company should prioritize sustainability goals, and CIOs should incorporate sustainability goals in their overall digital transformation targets. One such aim is reducing energy use. Moving away from power-hungry data center infrastructure is one approach, as is automating the

shutdown of idle cloud resources, adding visual power management systems, and taking into account renewable energy possibilities to operate their facilities.

4. Adopt AIOps in order to support microservices and multi-cloud

Digital and technology organizations must also address the growing landscape and complexities in multi-cloud architectures, managing hybrid clouds, and microservices. Many CIOs who invest in digital transformation are now starting to add new applications and growing data volumes. Businesses anticipate high service-level goals and increasing automation from IT Ops supporting these technologies because these apps, integrations, and data lakes are much more mission-critical.

Enter AIOps technologies that are aimed towards helping IT Ops which leverage machine learning around all their observability data and monitoring tools. These technologies aggregate the data, use machine learning to correlate alerts and assist network operations centers (NOCs) make sense of root causes faster. Most of these technologies also connect with IT service management, collaboration and other automation tools to trigger communications and scripted responses. Additionally, they assist NOCs in creating a single point of access for their databases and applications that are running on public clouds, in data centers, and on edge computing.

5. From the cloud to everything as a service (XaaS)

Make way for the next-level cloud. In the upcoming year, this well-known technology is expected to manifest in fresh and unexpected ways. While connecting data through a digital hub is commonplace today, more and more organizations are now fully moving to the cloud to access information anywhere and at any time. Embracing technology eliminates the costs of physical hardware while making cooperation on an enterprise scale second nature. Additionally, cloud-native applications are able to scale more easily and produce better results for businesses as a result of the extensive user acceptance.

Mirroring this development, many companies are also starting to shift toward everything as a service (XaaS) — meaning all their products and services are available as cloud-based subscription services.

6. Build trust with cybersecurity

Protecting any kind of data becomes increasingly important as more firms move their data to the cloud. Furthermore, since hybrid work is here to stay, it's simpler than ever for firm data into becoming insecure through unapproved sharing or phishing scams. 95% of cybersecurity breaches are caused by human error and in 2028, it is anticipated that the global market for information security would grow to $366.1 billion.

There’s no question data must always be secure, but customer data is an especially vulnerable area because the stakes are so high. When people’s credit card numbers, personal addresses, and contact details are at stake, it only takes one data breach to lose customer trust forever.

Even if your data security is robust, it is wise to build trust with your customers by being transparent about how their data is being used. Analyzing consumer data for insight-driven business choices requires proper treatment of the data.

Ending Note

2023 will undoubtedly usher in a fresh round of surprises, disruptions, and technological advancements. The ups and downs of the year will be easier to manage for IT leaders who look for force multipliers.