This article talks about the projected growth of e-commerce, importance of site search in e-commerce, problems in keyword-based search implementations and how AI search can address these problems.
This article is a narration of co-creating an AI product with a domain expert…During our discussions, he felt a need for building a platform to engage: a) potential, b) existing and c) past students towards life-long sharing of knowledge and skills. And, he asked me, if AI could be of any help in building such a platform together…
This article might be more meaningful to product leaders working in organizations that have implemented a structured process of innovation (NPD) in some format – like a Stage/Gate or a process that captures ideas from employees and channels them through a structured process for evaluation/monitoring.
When people communicate with each other, they have a specific language, an expression and an emotional feeling towards each other that allows them to speak and understand. Words play a crucial role in communication and have to be used and understood correctly. Customers seek answers for various queries, and in doing so, they expect businesses to respond as quickly as possible and with right solutions. But can a human work 24/7 and respond to millions of queries pouring in from different parts of the globe in multiple languages?
Machine Learning (ML) models in AI can self-learn and improve their knowledge over time by using as much as data possible. ML also plays a prominent role in mitigating risks across the enterprise. Today, AI is largely being used to create algorithms and tools that help companies to monitor and analyze behavior and activities in real-time.
Many people imagine AI as robots, devices and machines that work automatically. It’s been a while that AI has become a part of our daily lives, and its use has become evident. A research by MarketsandMarkets predicts that the Artificial Intelligence market that was valued around $21.45 billion in 2018 is now about to grow by $190.61 billion by 2025 with a CAGR of 36.62%. It also predicted that big data, virtual assistants and cloud-based applications and services would be the primary drivers of the AI market.
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