Why the rise of AI will see the demise of closed data

The rise of AI speech analytics software could herald the demise of closed data sources as companies become more tuned in to the value of the unstructured data they’re sitting on. For daisee, data liberation – relinquishing the lock-down of customer data – occurs because you’re honest about the real value you provide to your customer.

Closed data tactics “old”

Daisee’s principal software engineer Christian Marie says some service providers are reticent to provide customers full access to their data. “It can be an effective tactic for a company that has a monopoly or that doesn’t want customers to have the power to move between vendors. But as a tactic, it’s old.”

Data has always been valuable, but AI applications are delivering much deeper insights which dramatically increase the value that data brings to a business.

With that in mind, locking in to a proprietary format with a boxed product may not be the best move.

A move to collaboration

That move away from closed data in a boxed product means greater collaboration between the service provider and the customer.

“Some companies sell support for open source software and they also write open source software,” Marie says. “They consider their value to be their expertise in the system, not access to the system itself.”

Marie: “It’s a data science product so the data should be the value. Why would you not give the customer the thing they are paying for?”

In light of that, companies need to understand the technologies they need to leverage the best outcomes. Owning and being able to access or export massive amounts of data has little value if you can’t gain insights from it and how it can strategically be applied to the business.

Daisee is launching its AI-driven speech analytics software in September.

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