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DIGITAL TRANSFORMATION IN OPERATIONS: DEFINITION, EXAMPLES, AND TIPS

 Digital transformation has become a top priority for many organizations. By digitizing operations, businesses can automate and improve processes, increase efficiency, and create a better customer experience. However, making this transformation can be complex and daunting. This blog post will explore the key components of a successful digital transformation in operations and provide tips for getting started.

What is Digital Transformation in Operations?

Digital transformation in operations is the process of using digital technologies to improve performance or create new opportunities in an organization’s business operations. It can involve automating processes, integrating new technologies into existing systems, or developing new ways of doing business. 

Digital transformation can help organizations reduce costs, improve efficiency, and increase agility. It can also enable them to create new revenue streams, enter new markets, and better serve their customers. 

5 trends of digital transformation in operations

Below are the digital transformation trends that have changed the way companies and organizations deal with digital operations management

Mainstream nature of multi-cloud adoption

In the past, companies would have to rely on a single provider for their cloud-based needs. However, this often led to lock-in and limited options in terms of product offerings, global presence, and flexible pricing strategies. Today, many companies are increasingly relying on multiple cloud providers to avoid these issues. 

The growing cloud-native skills gap

The transition from virtual machine management to monolithic development patterns to agile microservices is transforming how enterprises build, deploy, and optimize cloud-based applications. As a result, IT operations teams will need to build new competencies to manage the health and performance of containerized services. 

Commodity monitoring converts into strategic monitoring

To understand and debug cloud-native systems, development teams will use multiple data sources. It means that when your IT teams develop new tools to manage autonomous cloud-native services, it is vital to clarify the relationship between individual components and the overall system so that you can effectively troubleshoot microservices in production.

AIOps emerge as the way to tame alert storms

Artificial intelligence for IT operations (AIOps) is inevitable for modern IT infrastructure teams to keep up with the diversity, velocity, and volume of IT operations. AIOps allows enterprises to run and optimize mission-critical systems by shortening response time for digital interactions and eliminating redundant processes.

Read more: https://magenest.com/en/digital-transformation-in-operations/

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