Feature in spotlight

Democratizing Artificial Intelligence

Featured content, sponsored ads, global market reports, and even your browser search results: Information you receive is increasingly becoming driven by someone else’s motives. How about getting back the control over information being served to you?

EdgeFlow puts the user in charge: It leverages the power of AI to surface insights beyond what is possible with the human mind (well, at least in a lifetime ;), while giving the user full control over teaching AI what is considered relevant. Read more about the democratized AI trend – and how we do it differently.

You may have spotted the “democratizing AI” trend in 2018: As the Artificial Intelligence hype is peaking, big IT players are shifting towards empowering users of all skill levels to seize the opportunity of AI. Driven in particular by large cloud computing providers like Amazon, Google, and Microsoft, there is a growing number of self-service analytics platforms and tools to help businesses build their own machine learning models.

While Artificial Intelligence is surely overhyped, and this type of democratization (conveniently) coincides with increased consumption of cloud computing capacity, the fact remains that AI is a powerful tool when in right hands. EdgeFlow enables a very straightforward form of AI democratization: putting its power into your hands quite literally.


‘I can now train my own AI model to recognize information that I consider relevant and want to receive.’

EdgeFlow leverages AI to surface relevant insights from a continuous streams of information. But how does AI know what information is relevant, before the user searches for it? One of the key features of EdgeFlow is its Train tool: an AI training application that lets users “vote” whether the information is relevant or not relevant for their business. This allows our AI models to continuously learn about users’ business-specific interests, and steer decisions on which content shall be brought to users attention in the future.

Training AI in EdgeFlow is deliberately an active process: we don’t track your clicking behaviour to assume your preferences until you confirm your choice. And yes, you can always reverse your vote if you change your mind or re-train your AI model as you get new insights.

It is as easy and intuitive as clicking thumbs up / down: you can do it as a part of your workday routine or on the go via your mobile devices.

Train your AI model and watch it get smarter by the day. Once trained, it will become your wingman in steering strategic decisions, bringing you all relevant information you need to know today – as determined by you, and you only.

Interested in training your own AI models in EdgeFlow? Let us know!