27
AlixPartners Disruption Index 2023 27
AlixPartners Disruption Index 2023
capabilities identified five capabilities that at advanced levels
enable this:
• A data management capability that generates data people
can find, use, and trust
• A data platform capability that serves up data reliably and
quickly inside and outside of the company
• A data science capability that uses mathematical and
statistical talent and tools to detect what humans can't
• A customer understanding capability that identifies
important core and latent needs
• An acceptable data use capability that governs data with
regard to regulation, law, and ethics
The research further identified that AI projects require a sixth
capability called AI explanation: the ability to manage AI
initiatives in ways that ensure models are value-generating,
compliant, representative, and reliable. The explanation
capability includes the ability to articulate a model's value for
different stakeholders, to make the inner workings of models
understandable, to create explanatory interfaces to expose
and enable rectification of biases in AI model outputs, and to
set boundaries for the safe application of AI models.
Unlike the five data monetization capabilities, which are well
understood and formalized, practices that build AIX capabilities
are still emerging. In fact, most AI project teams are creating
their playbook as they go. To establish AIX as an enterprise
capability, it's crucial that an organization surface and share
good practices, which takes effort and leadership. New,
effective AIX practices should be seen as building blocks for an
enterprise AIX capability.