Patent Tech Network Blog Post

Data is IP – intellectual property – and has an asset value that companies can assess and leverage. And, managers can maximize that value, and in turn maximize the overall value of the company itself. Whether the data assets are personal data, operational metrics, sensor inputs, or any other kind of data, it is up to the managers to diagnose the opportunities and take the right steps.

Our own Head of Strategy & Marketing, David Blaszkowsky, discussed these challenges, and how to win at them, last week as a featured panelist at the Technology Patent Network’s global annual conference. You can listen here to “Shining a Light on Innovation, Accessibility, and Transparency in Big Data”, where David discusses how companies have fixed data problems across most of the lifecycle except for the last part -the usage of the data for analytics including AI and Big Data – and how that failure destroys any and all value that has been cultivated by governance and conventional protections. This is the problem of “data usage risk”.

David goes on to describe what companies need to do to eliminate that data usage risk, including new technologies like data contracts and “confidential compute” secure enclaves that ensure that, during a sharing and processing, data can’t ever be lost, misused, leaked, or otherwise devalued. And with the right protections in place the data is worth more, the value generated from it increases, and the whole company is more valuable than ever. David pointed out that Helios Data’s Secure Data Sharing platform is ”fit for purpose” to eliminate data usage risk and boost data’s asset value.

David was joined on the panel by Steve Motinger, IBM’s Associate General Counsel for Data Governance, and David and Steve discussed a wider set of issues including the prospect for data markets and the importance of data governance and standardization in enhancing the value and usefulness of data.