IT WILL ALSO

EMPOWER EMPLOYEES TO IDENTIFY AND DEVELOP AI USE CASES FOR THEIR SPECIFIC NEEDS , RATHER THAN RETROFITTING AN ENTERPRISE SOLUTION TO A SMALL BUSINESS

CHALLENGE .

Understanding the different categories of AI

For most small businesses , the technology is still largely reserved to global , cash rich organisations that can afford heavy , upfront investment and specialist expertise that is highly sought after and expensive to hire . Therefore , there must be a focus on productivity-driving technologies that are easy , accessible and affordable , such as low code / no code solutions , which can be implemented and managed by employees with minimal technical know-how .

This is especially important in light of the current skills crisis . As the World Economic Forum ’ s latest Future of Jobs report highlights , even large companies are struggling to hire for data analysts and scientists , AI and Machine Learning specialists , and software and application developers . Small businesses , unless a technology company themselves , are often cost-out of these in-demand skills and , as a result , the important productivity benefits they offer .

Giving a platform to low code / no code AI

With small businesses accounting for 99.3 % of the UK total business population , it ’ s important that the government ’ s Help to Grow scheme helps bridge the AI-divide between large and small enterprises .

Low code / no code platforms offer a viable solution to this challenge , providing nontech savvy workers with guided instructions to easily and quickly design , deploy and implement conversational AI agents that can support with day-to-day tasks , from customer service through to finance management .

These types of solutions mean that small businesses can easily automate time intensive administrative processes , driving productivity and allowing their employees to focus their time , resource and attention on value-add projects to grow the business .

In IT , for example , you can easily deploy an IT help desk engineer , converging front and

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