Operations | Monitoring | ITSM | DevOps | Cloud

Key Digital first technology trends to consider adopting in 2022

In our previous blog, we covered the importance of establishing a Digital first as a discipline. Once the key outcomes of the project are identified, we often stumble upon numerous challenges – the leaders should filter out the associated challenges and risks, to mitigate them and balance out the desired state benefits versus the current state benefits. This will provide better visibility for the teams involved in the transformational process.

How do you measure the success of your Digital first strategy?

We have seen the importance of adopting a Digital first engineering approach, the challenges faced by leaders, and the role of strategies in our previous blogs. Another factor that plays a significant role in the success of any Digital first initiative is having a proper metric system. These huge transformational processes involve a lot of time, resources, and cost - if these are not managed and measured in a timely fashion, enterprises can end up getting a hit on their bottom line.

What should be the right Digital first strategy - iOPEX PoV?

In the previous blog, we outlined the critical barriers faced by leaders and probable success factors in Digital first implementation, and how an experienced technology partner & fusion team can enhance the success further. In this blog, we will provide the perspectives of having the right strategy & framework in place across people, process, product, and data for an end-to-end transformation. iOPEX point of view - Digital first

When Legacy Systems Still Make Sense: The Role of Legacy Tech in Your Hybrid Digital Transformation

Despite all the attention cloud systems and enterprise cloud migrations receive, legacy software still plays an active role throughout enterprises. In many cases, critical business processes supported by legacy applications are just too crucial to core business functionality to risk migration.

Building cognitive automation in the digital fabric

Cognitive automation is part of the digital fabric that is predominantly weaved with technologies like AI and ML to drive automation at an enterprise-wide level that is capable of thinking like humans along with mimicking human behavior. Digital Fabric, “It is the combination of technologies enabling automation to serve dynamic business needs of organizations that seek digital transformation to enhance business outcomes.”

Digital transformation and use cases in logistics

Customer-first culture is a driving force for any organisation’s success in logistics. Having a customer-first mindset means constantly thinking about your customer and your customers’ customers — and all of their employees. To have a good relationship with the customers, listening and understanding them is the key.

Top 5 Strategies For Accelerating Digital Transformation

For every modern business to enjoy success in the market, it needs to accelerate its digital transformation. For the better part of the last decade, the world has experienced dramatic changes. These changes have had huge impacts on the way businesses operate. As a result, many organizations have been forced to shift to a digital model. The number of businesses succeeding in digital transformations continues to increase every day.

3 Ways AIOps Drives Digital Transformation

Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.