Launching this month, the app Teedot aims to give people an intuitive sense of understanding about what’s important in their big data. This automatically creates opportunities for collaboration in strategy around that data’s use. Something which the app is geared towards facilitating.
The software is self-learning, building on what it knows not only about the data being considered, but the users themselves. It learns to predict outcomes and even make recommendations based on the input you’re giving it over time. This could mean anything for your data, from advice on tailored marketing plans to budgets for acquisitions.
The idea is not to create a HAL 9000 for computing data and giving corporate-level advice, but instead to create a gateway for professional collaboration. The recommendations can be used as agenda talking points or discussions in-app between users.
Business leaders, Teedot’s founders contend, cannot yet manage data at the speed they want to, but with the intelligence level of applications and software getting higher every day, there’s no reason we cannot do it with apps.
They say you should view the app as a trusted assistant who can give advice you may or may not want to follow and make connections for you to set up meetings or quick decision-making confabs without. In short, it takes the huge amounts of data often dropped onto decision-makers and cuts through the parrafin to find the wick and help get things done.
A pretty cool idea and one that, frankly, was a long time coming. The project is self-funded by its founders, Matt Johnston and Bradley Farrell, and it launched on November 3rd.