AI and machine learning are best-suited to specific types of tasks and these vary in complexity. For this reason, it is important to determine what you’re looking to accomplish so that you can intelligently configure and aggregate your data for the AI process to produce favorable results.
As more businesses are incorporating AI and ML into their strategy to reduce costs and create better products, they are gaining a competitive advantage over those holding on to traditional means of operation. Employed effectively, AI and ML will provide tide-turning returns for companies. If you’re looking to introduce AI into your business strategy, how do you choose the most effective business cases? How do you measure the empirical value?
The most disruptive force in marketing today isn’t what you think. It’s not a machine. It’s not a device. It’s not an AI interface or a machine learning model or a conversational assistant. It’s the consumer. More specifically, it’s what consumers have come to expect from their brands. And if you can’t meet the needs and preferences of the next-generation consumer, your brand won’t stay relevant for long.
The surest way to grow your brand’s market share is to engage with consumers in a personal and meaningful way. By personalizing UX on every level, businesses give themselves the best chance at scaling their growth. But how do they do this in the realm of eCommerce, where there is often no human-to-human interaction?