Creatio’s Andie Dovgan Dispels Myths Around AI and No-Code

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Andie Dovgan, Chief Growth Officer at Creatio, on AI’s democratisation development and opportunities
Andie Dovgan, Chief Growth Officer at Creatio, discusses how AI is evolving to impact businesses and democratise development opportunities

AI’s potential is so vast that it sometimes undermines what it can do now. But according to Andie Dovgan, Chief Growth Officer at Creatio, it’s already an evolutionary tool.

“AI is becoming more incredible every day and IT will continue to drive the evolution of the low-code and no-code space,” he tells us.

In terms of predictions, Andie suggests that we can expect:

Business application development efficiency

“The future of application development is accelerated,” he says. “Generative AI-powered no-code tools will streamline the process, allowing businesses to focus on defining the desired outcome rather than getting bogged down in intricate coding.”

Hyper-personalisation

Andie anticipates that AI will be set to hyper-personalise user experiences. 

“These tools will create bespoke experiences based on user data, from generating data visualisations tailored to individual preferences to automating repetitive tasks specific to each user's workflow,” he says. 

Staff productivity

AI is often touted as a tool which will significantly boost staff productivity, by automating mundane tasks and freeing employees to focus on higher-value work. 

“This will lead to increased efficiency, innovation and job satisfaction,” Andie shares. “What’s more, AI is already creating new job opportunities, particularly in fields related to AI development, implementation and maintenance.”

There uncertainty around AI replacing jobs remains strong. Here, Andie elaborates on how AI will augment human capabilities rather than replace them.

Democratising development across the technology industry

The world must adapt to AI like any other transformative tool (such as smartphones and the internet) and significant change always comes with a degree of uncertainty.

“What we can say for certain is that AI will not steal jobs in the no-code industry,” says Andie. “In fact, it’s the other way around. AI helps further democratise opportunities that used to be reserved for a small group of specialists, which is likely to result in more jobs. In other words, there will be more freedom to create. For everyone - and it’s not taking specialists out of the picture, either; it’s empowering them further.”

For example, by using AI to automate routine coding tasks, no-code frees both developers and business users, such as sales, marketing and service professionals, to innovate and tackle more complex architectural challenges – which is why most of them specialised in the first place.

“In essence, AI will help no-code empower specialists and non-developers to create and free up the time to focus on more complex and strategic aspects of software development,” he continues.

No-code development is gaining traction, with the market size for no-code and low-code platforms expected to reach around US$36.43bn by 2027. The market is forecast to generate US$187bn in revenue by 2030, growing from US$10.3bn in 2019. This represents a compound annual growth rate (CAGR) of 31.1% for 2020-2030. 

“This growth tells us that customers prefer the flexibility and freedom of no-code solutions over the traditional approach. It also matches the growing demand for software apps, which is projected to reach 500m within the coming years,” he continues.

This has fuelled Creatio’s growth as well. 

“We’ve been growing 50% year after year and we just completed a US$200m round of funding,” Andie says. “We’re already investing that funding into expanding our AI-assisted development capabilities, especially when it comes to no-code governance, because demand for this technology is only going to climb. We’ll also be focusing on investing in partnership collaboration and sustainable growth.”

Unlocking business potential through strategic implementation

However, Andie concedes that there are some challenges companies should consider when implementing AI, but that these be overcome.

“No-code platforms excel at empowering both IT and business teams, to rapidly develop applications, automate processes and streamline workflows. However, there are a few things to consider when using these platforms to build highly complex or large-scale applications. One important consideration is identifying which business areas can be built and automated with no-code. This requires due diligence.”

Andie advises that users must analyse and understand which areas of the business are best suited to no-code automation and then decide on a thorough process of implementation and scaling. While this might seem complex at first, no-code providers offer plenty of helpful resources and support.

“Secondly, effective governance is essential to unlock the full potential of no-code development. Shadow IT, data security risks and inconsistent application quality can emerge without proper controls,” he explains. “Users can achieve their business goals while mitigating risks by combining the platform's capabilities with clear governance policies and strong IT-business collaboration.”

Andie believes that the combination of AI and no/low code development can empower businesses to innovate faster.

“We're especially excited about generative AI’s potential to unlock no-code automation further. This powerful synergy is a winning formula for success – and promises to accelerate and simplify the application development and workflow automation processes beyond what’s currently possible,” he adds. 

Traditionally, no-code platforms have democratised app development by empowering non-technical users with drag-and-drop functionalities. Now, generative AI achieves a new level of efficiency, automation and customisation, offering users ready-to-use capabilities to create, tailor and manage AI use cases.

“In short, AI in no-code streamlines app creation and speeds up and simplifies the process by automatically converting user requests into application templates or frameworks,” he finishes. “Automations and efficiency gains such as these make a monumental difference, especially in industries such as banking, manufacturing and technology. It’s also just the beginning.”

Who knows where we’ll be in a decade…

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