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What to Expect from AI and Low-Code in 2023

What to Expect from AI and Low-Code in 2023

Developer experiences aided by AI and low-code strategies will enable talent recruitment and retainment advantages

New opportunities to harness the power of AI meet competitive pressures is expected to drive even more rapid adoption of low-code application development strategies in 2023. Across industries, from manufacturing to retail to healthcare, advanced AI capabilities are becoming essential to recognizing and implementing high-value product and process improvements. Low-code development processes have similarly emerged as one of the most efficient and effective avenues for enterprises to leverage AI quickly. With low-code, developers (even those without AI expertise) can assemble pre-coded AI modules into production applications.

Here are three ways that AI and low-code will further come together over the course of 2023:

1) Applications with advanced AI will soar enterprises seek competitive advantages

Enterprises can increasingly get a leg up on the competition—or catch up to faster movers—with an AI low-code strategy, and that’s exactly what we’ll see in 2023. Traditional AI development requires slow and labor-intensive hardcoding. Building a traditional infrastructure for AI/ML-powered solutions means competing to hire talented experts in the field, which will continue to be a difficult and pricey proposition even in a shaky economy. Leveraging AI via low-code modules will deliver equally robust capabilities at a fraction of the time and cost. The results will be clear: 2023 low-code adopters will run circles around hard-coding competitors when it comes to introducing and iterating on AI solutions in their marketplace.

Getting more granular, I think the retail sector in particular will see organizations pursuing AI low-code strategies in 2023 in order to deliver and rapidly optimize differentiated customer experiences. A top-quality digital experience honed by customer testing is now requisite for retail success.

For example, Ulta Beauty has put AI and low-code to work in developing a continuous stream of innovative retail experiences, with an enviable time-to-market.

The manufacturing sector is another industry where AI-powered applications are particularly crucial: modernization has meant running applications on edge computing devices, which must make real-time decisions that prevent interruptions on the factory floor.

A single minute of downtime can cost a manufacturer six figures in productivity losses. Manufacturers are eager to get more powerful AI working at the edge to enhance this crucial reliability. The challenge has been that legacy factory equipment and the limits of edge computing systems require low-overhead yet robust AI/ML applications. The low-code approach to AI is built for this requirement, and I expect it’ll enable many more manufacturers to better identify and remediate issues without downtime in 2023.

2) DevOps teams will steer their organizations toward embracing low-code AI strategies

DevOps teams are quickly realizing the advantages that AI-enabled low-code provides, such as putting new development workflows in place that are simpler and more seamless to manage.

Enabling an enterprise’s current development teams to suddenly harness advanced AI capabilities with no upskilling—while actually reducing operational complexities—is a DevOps’ dream come true. In 2023, DevOps teams will push for low-code strategies that let them improve their work experiences and deliver more effective development tooling with less (required) personnel, while equipping their organizations with access to transformative AI technology.

3) Developer experiences aided by low-code AI strategies will enable talent recruitment and retainment advantages

With continuing economic turmoil anticipated in 2023, some very talented developers will be looking for their next opportunity. The competition for that talent will hinge not only on pay and benefits, but also on the quality of the developer experiences organizations can offer.

A low-code AI strategy means offering prospects an environment where they can push applications to market 10x faster (or more), work with the newest and most exciting AI capabilities out there, and focus solely on the most interesting and enjoyable parts of development work. When juxtaposed with a traditional developer environment—including all the tedious hard-coding and block-and-tackle setup work that low-code abstracts away—developers have a clear choice. For this reason, enterprises offering a more welcoming AI and low-code experience in 2023 will have their pick of the best talent available.

AI and rapid application development become more accessible than ever

2023 will see a considerable uptick in enterprises leveraging low-code and the powerful AI capabilities it makes available. Particularly as businesses hope to navigate challenging economic pressures, those with low-code AI strategies will be faster to innovate and iterate—and done right, get to the results they seek with less budget.

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