Artificial Intelligence (AI)
Human-centered AI to deliver immediate benefits in times of need.
To build a data-driven, mature AI corporate culture, an organization will need to demonstrate leadership, embracing and trusting AI to support decision making and formulate a clear strategy. Those who create a strategy where "people" are central, employees, customers, partners, community and a larger ecosystem, will eventually see themselves scaled much faster than those who neglect it.
The deeper the data culture, the better activation of data within the organization. Evaluate your data supply chain for its connections and gaps across organizational and departmental lines, eliminate data silos and open data exploration capabilities. Standards and governance are in most cases fundamentally the first roadblock to be hit in AI projects.
Ask critical questions: Where's the data? Who has access to the available data? Is the data secure? Have traces of data been left behind? Has the data been examined? Managing, monitoring and analyzing collected data should be a top priority within any organization or company of tomorrow. Data is the fuel that feeds the AI engine and is a source for creating new products and making new decisions.