If you are adopting or delivering AI, but your teams aren’t fluent in AI…
AI & machine learning can yield double-digit percentage gains in sales and reductions in costs1. But it’s not a simple IT add-on. Even when complexity can be reduced by choosing the right technology, non-technical barriers can stall or sink AI adoption at multiple stages. Operating costs, data quality, privacy, ethics, and security issues remain front and center after AI systems are in production. When your people don’t fully understand the demands and potential pitfalls of 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.