To thrive in a data-driven world, organizations must capture the long term value of data while building in digital ethics and responsible AI.
Data has become both the nervous system and a raw material for modern organizations. Data mastery across all functions is also becoming a competitive necessity. For example, investments in AI & machine learning can yield double-digit percentage gains in sales and reductions in costs1.
But transitioning to data-centered strategies requires more than an IT upgrade. Non-technical barriers can stall or sink data initiatives at multiple stages. In addition to overhead, data quality, privacy, ethics, and security issues, when your people aren’t ready to build on data you run significant risks of:
• delays, false starts, unnecessary costs, and lost opportunities
• damage to customer experience and to your brand
• disruption from regulators and legal actions, and
• lost revenue.