From empowering employees, to driving strong financial returns, to opening doors for small businesses — no- and low-code AI platforms are valuable to all.
AI adoption is rapidly accelerating in all industries, including hospitality, financial services and healthcare. To keep up with the growing importance of enterprise automation, a new generation of automation platforms has emerged to democratize AI technology, enabling businesses of all sizes and technical acumen to reap its benefits.
No- and low-code platforms are key components to the democratization of AI. These platforms provide business users, sometimes called citizen developers, with drag-and-drop, user-friendly interfaces to create AI solutions that are tailored to users’ unique business challenges — and companies are already taking note of their value. Gartner (via Amelia) reports that 70% of enterprises have already implemented policies for citizen developers, and the firm predicts that by 2024, more than 65% of applications will be built using low-code development.
If your organization has yet to deploy AI or is struggling to increase internal adoption of your current AI investments, read on to learn how no- and low-code AI solutions can drive value for your business.
AI Built By, and For, Your Employees
Organizations may be hesitant to deploy AI solutions out of concern that it will upset their human employees. And true, many people still fear that AI will take over their jobs.
In organizations where this is the case, deploying no- and low-code AI solutions is an excellent way to introduce automation to employees across the organization. These solutions allow staff to engage directly with AI, helping them to maintain a sense of control and authority over the technology that will soon impact their day-to-day work. Being transparent and involving employees in the creation of automation projects also pulls back AI’s curtain of “mystique,” increasing the likelihood of internal AI adoption.
As an added benefit, increased technology adoption often contributes to greater returns on investments. Findings from Harvard Business Review (HBR) suggest that stronger tech intensity, meaning “the extent to which employees put technology to use to drive digital innovation and achieve business outcomes,” drives more revenue growth.
Involving business users in the process of developing AI projects through no- and low-code platforms also helps to ensure that AI investments address employees’ needs and enable them to work better. This is because business users have a “boots-on-the-ground" perspective of their departments’ unique challenges, while IT managers often do not have purview of the specific needs of individual departments.
Alongside rising interest in AI technology, there is an increased focus on ethical AI practices. Organizations can better manage the risks of biased AI by building a diverse AI development team, but given the lack of diversity in STEM, hiring a representative group of data scientists can be challenging, especially for smaller organizations.
Although systemic and cultural changes to improve diversity in STEM are still needed, no- and low-code platforms can help companies reduce the risk for AI bias by enabling them to tap into the diverse perspectives of their non-technical employees. It is important to note, however, that building diverse AI development teams is not sufficient for eliminating bias. For more insights on how enterprises can ensure bias isn’t programmed into their AI solutions, check out this article from Amelia’s Managing Director UK & Ireland and Europe, Faisal Abbasi.
No Organization is Too Small for AI
High costs for data scientists and automation platforms have kept AI investments out of reach for many small businesses. While large, global, cash-rich companies forge ahead with hiring data specialists and investing in automation solutions, many small businesses are left behind due to lack of resources and other issues.
The democratization of AI via no- and low-code platforms can level that particular playing field. As businesses continue to utilize AI at higher rates, Conversational AI platforms such as Amelia, which guides business users through the creation of digital agents via its Digital Employee Builder capability, will be invaluable for smaller organizations that want to compete against industry giants.
AI is poised to be, in the words of one HBR author, “one of the most transformative technologies in a generation,” meaning applying AI to drive growth and compete effectively is a critical business consideration. With the advent of no- and low-code AI platforms, organizations of all sizes, budgets and technical acumen can be in the driver's seat of their own AI-enabled transformation journeys.