IBM has decided to really invest staff and effort into the blockchain.  Kudos!  http://www.coindesk.com/ibm-blockchain-ai-new-business-unit/ They have already been contributing to the Hyperledger project and have probably learned through that that an immutable distributed redundant set of selectable records can enable Watson to figure out what's up without drawing down outrageous amounts of memory and computing power.  

But here is the thing.  How would Watson's wisdom compare with the wisdom of the crowd?  This is a use case begging for a test.  How good is Watson -- really?  How good is the crowd - really?  I have developed a whitepaper that uses the crowd to set odds and pay out correct predictors for accurate predictions. (I would be happy to send it to those who want to review it or the one page summary - it can probably be monetized for consumers for fantasy sports or for any folks involved in handicapping, like insurers).  

Here is a challenge for Bridget van Kralingen and her IBMers!  Include crowd sourced prediction into your use cases.  After all, that is one feature that may contribute to the blockchain becoming a truly revolutionary tool for evolving the global brain.  If IBM does that, I'll buy more stock.  Heck, I may even give IBM rights to data supply chain patents so they can search for, parse, extract, and offer micropayments to data suppliers by the data item pair.

Exciting times.