If your organization relies on data for its operations and analytics, but your teams aren’t fluent in data decision-making, AI, and machine learning…
Data is becoming the nervous system of modern organizations, enabling rapid sensing of and responses to changing customer needs and operating conditions. On the leading edge, AI & machine learning can yield double-digit percentage gains in sales and reductions in costs1. But transitioning to data-centered processes requires more than an IT upgrade. Non-technical barriers can stall or sink data initiatives at multiple stages. Overhead, data quality, privacy, ethics, and security issues remain front and center after new systems are in production. When your people don’t fully understand the demands and potential pitfalls of data and AI on a business level 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.