The AI Data CO-OP

Data is important, it always has been. But now, it is more important than ever. Well-managed and curated data, with provenance and history, is even more valuable. This data can be used for internal analysis, machine learning, AI and deep learning. But the truth is, data like this is rare, very rare. Even with all the systems controls that we all use, it takes time, effort, oversight and management to keep things up to a reasonable level of usability. Well-managed data is not free and for that, those who are managing and curating the data, should be recognized and if appropriate, compensated.

The last decade has brought a confluence of technologies together to enable us to create intelligence from data of different types. With cheaper compute, cloud storage and open source AI algorithms, a good share of future software solutions will be generated from data. This data will come from within the implemented systems and often merged with data from other sources. AI Data CO-OP is here to make it easier to bring this data together and solve problems in a more friction-free manner.

The domain of monetizing data sources for AI training is nascent and controversial. The goal of this non-profit initiative is to make it efficient for all parties involved. Whether aggregators evolve or they are simply operators who are creating massive amounts of data as part of their operations, their focus on making it available and viable for training will be valuable. Data that is kept up to date, secure, easily accessible, well documented and curated is an asset and should be managed as such.

If you are interested in joining me on this journey, let me know.

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