Tapping the Value of Generative AI without the Risks: How Capabara Empowers SMEs to Thrive

By Kevin Shepherdson, CEO of Straits Interactive

With generative AI extending its reach into almost every industry in a relatively short space of time, enterprises are now keen to explore how they can incorporate generative AI into their workflows to enhance productivity. However, the road to adopting this new technology is laden with concerns, ranging from privacy, security, and ethical risks that overshadow potential benefits to the fear of job displacement among employees. Given that most Small and Medium Enterprises (SMEs) run on limited resources, adopting generative AI within the organisation might appear to be a risk they are not ready to take on yet, despite the clear evidence of increased productivity the technology brings.

Addressing these apprehensions head-on at our press preview last week, we unveiled the Capabara Capability-as-a-Service (CaaS) Suite. This is a comprehensive productivity platform we created to democratise generative AI for SMEs, bringing a secure and secure way to harness the benefits and minimising the risks. 

The Pain Points of SMEs in Generative AI Adoption

Many SMEs today are using free versions of ChatGPT and other generative AI apps from start-ups, unaware that by doing so, they are sharing personal and company confidential information with external servers and parties which can easily access these data, especially uploaded documents. In addition, their chat inputs could be used to train the machine learning models of these AI tools. To aggravate matters, many of these companies don’t have a policy in place to govern the use of generative AI.

The Need for Capabara

Through our research arm, the Data Protection Excellence (DPEX) Centre, we conducted a study on popular AI applications which revealed that most fall short of GDPR and AI transparency standards. Of the 113 popular desktop apps sampled, while 63% cited the GDPR, only 32% were apparently within the GDPR’s purview. And of this 32%, a mere 48% were compliant. In another study, “Clone Apps” leveraging OpenAI’s GPT application programming interfaces (APIs) on the Google Play Store were found to have significant discrepancies between declared data safety practices and the actual behaviour of these apps. These are sobering statistics that inject urgency into the task ahead of SMEs in enacting governance over the use of AI in their workplaces. Yet, there is great difficulty in undertaking such a task without enough resources in a fast-evolving world of generative AI. 

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