The Path to Artificial Intelligence: A Guide for Businesses

AI is no longer a pipe dream Artificial intelligence has long since arrived in corporate practice. But many organizations find it difficult to get started. Where do you begin? Which technologies are relevant? How do you avoid costly failures? Phase 1: Orientation Understanding the potential Before you invest, you should understand what AI can and cannot do: AI is good at: Pattern recognition in large data sets Automating repetitive tasks Predictions based on historical data Natural language processing AI is (still) bad at: Contextual understanding Creativity Empathy Situations without training data Identifying Use Cases Look for areas where: Large amounts of data are available Repetitive decisions are made Human capacity is limited Speed makes a difference Phase 2: Strategy Quick Wins vs.