Enterprise and know-how leaders are below growing strain to show that they’re capturing and utilizing knowledge in conformance with related laws and inside processes. And the increasing use of synthetic intelligence (AI) has elevated that strain solely extra. So whether or not it’s “simply” tips or precise laws (which is forthcoming within the EU, for instance), firms have to be prepared to offer clear proof that their fashions are moral and freed from bias. And past regulation, many organizations simply need to have the ability to show to their clients that their knowledge is reliable and hasn’t been tampered with to construct belief.
Listed here are three of the most typical knowledge integrity challenges organizations wrestle with — see if any of those sound acquainted to you:
- Proving knowledge provenance. There are numerous conditions the place firms must exhibit the place they obtained knowledge and determine who gave permission for them to have that knowledge. This could apply to knowledge used internally for analytics functions, or info that’s made publicly accessible.
- Ascertaining knowledge integrity. Is that this the unique knowledge, or has it been tampered with? If there are modifications to the info, are they legit? These perennial and frequent questions could cause main challenges, and the flexibility to reply with certainty is important to an environment friendly and trusted knowledge operation.
- Offering an audit path of knowledge use and course of compliance. Many firms have already got processes in place to doc their adherence to knowledge privateness necessities, however a smaller quantity have processes to make sure that they’re making use of moral ideas in growing their AI fashions. For a lot of organizations, that received’t be sufficient, with impending AI regulation within the EU and the necessities for proving compliance changing into extra stringent total.
If these are areas that your group struggles with, there may be excellent news — blockchain (aka distributed ledger know-how) will help protect knowledge integrity and show the trustworthiness of data-centric processes. Curious how? I’ll diving into the main points in a session at Forrester’s upcoming Data Strategy & Insights occasion Nov. 18-19. The agenda for the occasion is stay so have a look and reserve your spot on the occasion earlier than it fills up.