What is AI-as-a-Service?
AI-as-a-Service (AIaaS) is a subscription model that allows startups, SMEs, and even multinationals to use AI to gain insights, enhance efficiency, and create innovative products and services without the expense of developing algorithms.
How does it work?
Think of AIaaS as an extension of cloud-based services. The tech giants built these systems for themselves as data storage and processing solutions, then realized they could turn ‘the cloud’ into a lucrative business opportunity by making their services publicly available on demand. AI is simply an extension of this. AIaaS is also delivered through the cloud, reinforcing the advantage of Big Tech platforms.
Where do I start?
It can be as simple as logging in to the subscription service you are using (such as ChatGPT), asking your query, and getting an answer. The same goes for the AI image generator DALL-E, developed by OpenAI.
What else do I need to think about?
Finding the right provider may depend on the industry you’re in. If you want something tailored to your vertical – for example, health or insurance – you may require a specialized AI provider.
- Data privacy and security
Relying on external AI services requires sharing sensitive information with third-party providers, which could increase the risk of data breaches. Make sure the organization is properly educated in best practices regarding AI data security.
- Over-reliance on one provider
Don’t put all your eggs in one basket: spread the risk. Opting for several providers ensures you’re not at risk of losing control of all the data you generate using their algorithms.
Be mindful of the fine print when signing up with third-party providers. Remaining free to switch is essential to maintain strategic autonomy from the giant providers and puts you in a better position should ethical and accountability questions arise.
Not everyone is equipped to use AI services, so find in-house specialists and data analysts who can navigate AIaaS.
Make sure people you trust check any AI output before you use or publish it. Remember: you are liable for the outputs!