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Data-driven storytelling
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Branded content
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Generating value
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Revenue for all stakeholders
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Tech giants and the microbe
Inspiration
How we can live a decent life in a society of the future that will guarantee basic needs? Housing, food, clothing, education, medical care and (today more than ever) work? The solution is a robust value creation system or a new global business model that creates smart working. The value creation is “robust” as it relies on a resource named Information, that is unlimited. The business is “global” for two reasons. First of all, the model runs as a web app and/or mobile app on top-range smartphones, as well as on 2G phones with SMS. The second, most important reason will be cleared in the following.
What it does
Machine Telling™ - from “machine learning” and “story telling” - is an algorithm created for value creation through a data-driven storytelling process. We use artificial intelligence to “brand” information extracted from your dataset as well as from Open Data, then we move money in a circular direction. Money comes from brands. The result is revenue for all stakeholders.
How I built it
We simply make sure that information contained in the dataset is conveyed by a human-machine natural language conversation. You're looking for data. Try now the live demo [link] https://www.eloisa.it/RLA/eloisaopen/index.html. Select your preferred language, type a sentence and press Enter. Eloisa Open is the web virtual assistant that helps you explore a small dataset of consumer prices. This is a PoC, without branding functions.
Challenges I ran into
A dataset of consumer prices can be searched by asking questions: "How much does a coffee cost in Milan?". The algorithm inserts the quote of a brand and provides the answer: "The average price of a coffee in Milan is 1.20 euros, from Starbucks costs 1.00 euros". Please note that you can have any kind of conversation, for example you can say "How are you?" or "What's the weather?" with the certainty of having 24H answers. Well, the Starbucks brand pays 0.20 euros every time it’s quoted in any conversation and that money (equal to the difference between the average price and the recommended price) generates two cash flows: a percentage is transferred to the smart worker who entered the data and a percentage is withheld by us. Everything happens in real time.
Accomplishments that I'm proud of
Take it as a joke, but we are able to create unlimited smart working in this way. All users can become smart workers and they will see a turbo type of search engine - actually a conversation or dialogue engine - that accepts words as input and returns words and money as output. Anyone who is able to make a conversation is able to make money, so the business can be defined “global”. They are users, smart workers and they’re still consumers, then a cash flow is generated back to companies adopting the new model.
What I learned
In times of crisis, companies are demanding cash injections from governments, which can only give it by increasing public debt. First of all, we learned that MT would be a self-financing solution for any organization. Second, information is an unlimited and often free resource, so MT would be a solution to get a zero-cost (no-tax) citizenship income for administrations around the world.
What's next
The provided example refers to the Retail sector and is based on the generally most requested data (price), however we get revenues using all kinds of data, coming from Food & Beverage, Travel & Tourism, Health & Fitness, Real Estate (to begin with).We have Eloisa RLA, a mobile virtual assistant that implements the MT engine as a second PoC, available now on Google Play [link] https://play.google.com/store/apps/details?id=erla.eloisa&hl=en.
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