Bridging the Talent Gap with Low-Code

It’s no secret that for year’s CIO and CTO’s have stressed about the idea of undergoing digital transformations. After all, the adoption and implementation of new technologies can be stressful, but the timeline to complete this roadmap is often littered with obstacles and delays. Jay Jamison knows this all too well. It was during his time at Hewlett Packard Enterprises that he began wondering if there was a better, more efficient route. Turns out, there was.

“I don't want to go to a CIO and say [their digital transformations] are going to take three years, when it really is going to be five,” Jamison said. “I want to be able to go to a CIO and say ‘We're going to get you a solution in place that's going to create value for your business in this quarter.’”

The solution Jay is referring to is the growing use of low-code application platforms. Today, Jay serves as the Chief Product and Technology Officer at QuickBase, a low-code solution that is being deployed by Fortune 500 companies such as Southwest Airlines, Columbia and SiriusXM Satellite radio. On this episode of IT Visionaries, Jay takes us into what that low-code solution looks like, and why it might be the remedy to the stress of digital transformations.

Main Takeaways

• Mind the Gap: One of the biggest advantages low-code provides is the ability to help companies deploy and iterate applications at a rapid pace. Low-code also helps democratize DevOps, which is allowing non-developers to work on deploying software.
• Operation Agility: When your customers have the ability to be deeply involved in the research and development of applications that they are going to use, it leads to a process known as operational agility. When that happens, your customers will adopt and deploy the application at a quicker pace.
• The Road Less Traveled: Companies often stress about their digital transformation roadmaps — which can take years to implement. Instead, focus on a dual-track solution. Work on changing over your bedrock technologies and allow low-code software to handle your smaller issues. This way you can still pivot and scale applications as needed.

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