Monday, November 29Digital Marketing Journals

Tag: Projects

Why Artificial Intelligence (AI) Projects Fail | by Trust Onyekwere | Nov, 2021
ai, ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, digital-transformation, machine-learning, robot chat, technology

Why Artificial Intelligence (AI) Projects Fail | by Trust Onyekwere | Nov, 2021

Another reason why AI projects fail is that the primary business problem wasn’t an AI one.Let’s look at an e-commerce example. Let’s say an AI-based recommendation engine has been deployed and it hasn’t made a significant difference to revenue from the site.What went wrong? It’s possible that the business doesn’t understand the shopper’s journey. If they had tracked and studied the majority of shoppers’ journeys, they might have discovered that the majority of the shoppers were purchasing additional items because they were using the store’s excellent search engine rather than the product’s page or even a recommendation engine.It might make sense here to have a project that focuses on further improving the search engine, which will provide a better return on investment.This isn’t a failu...
An Extensive Guide To Data Collection For Speech Projects | by Shaip | Sep, 2021
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, data-collection, data-collection-services, data-labeling, robot chat, speech-project, speech-recognition

An Extensive Guide To Data Collection For Speech Projects | by Shaip | Sep, 2021

Is it just us or are virtual assistants actually becoming quirkier and sassier by the day? If you remember your first interaction with a virtual assistant like Siri, Cortana, or Alexa, you would recollect bland responses and plain execution of tasks.However, their responses are not the same they used to be. Over the years, they have grown to become sarcastic, witty, and in simple words — more human-like. It’s like they are just a step away from cracking the Turing Test. But this has been a journey, hasn’t it?To get here, close to a decade of AI training has happened at the backend. Thousands of data scientists and AI experts have meticulously worked for hours together to source the right datasets to train their speech projects, annotate key aspects and make machines learn them intact. F...