Executive Assistants spend a bulk of their time organizing, planning, strategizing, mapping, calculating, you name it. Assistants have to manage Executives’ jam-packed calendars and find the most strategic ways to fit important events into limited time frames. They also have to plan schedules, office layouts, and strategic company initiatives. EAs plan out workflows and draft timelines and manipulate moving parts and pieces to make projects work and things happen.

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Developed by one of the leaders in the AI space, IBM, Watson Assistant is one of the most advanced AI-powered chatbots on the market. Pre-trained with content from your specific industry, Watson Assistant can understand your historical chat or call logs, search for an answer in your knowledge base, ask customers for more clarity, direct them to human representatives, and even give you training recommendations to hone its conversational abilities.
The term chatbot comes from “chatterbot,” a name coined by its inventor, Michael Mauldin, in 1994. He created the first chatbot named Julia. A chatbot (also known as a talkbot, bot, IM bot, intelligent chatbot, conversation bot, AI conversation bot, artificial conversation entity, or virtual talk chatbot) is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods.
Most Executive Assistants don’t work a typical 9 to 5. They have to be ready and willing to help out when duty calls. And since Executives are never truly off the clock, their “partners in business” never clock out either. Most EAs never repeat the same day twice; that makes an EA’s schedule variable, but incredibly exciting. They might start one day at 6 AM and end the next day at midnight.
AI Chat marketing solutions include a range of tools and platforms to create chatbot virtual assistants for marketing, sales and customer support on the most popular chat application in the U.S. and #2 chat application in the world -- with over 1.3 billion monthly users. Our chart compares the leading Facebook Messenger partner platform, their reviews and key Messenger automation features.
MobileMonkey is an all-in-one chatbot platform using AI technology. The platform supports web chat, live chat, SMS and Facebook Messenger bots, and omnichannel marketing. Although it’s not built specifically for the real estate space, MobileMonkey has many realtors that love the platform, as well as all the features the other chatbot platforms on this list have, and more.

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Drift provides conversational marketing and sales software powered by both automation (rule-based) and artificial intelligence (NLP). According to their website, "Drift's conversational AI is trained on over 6 billion conversations to identify the patterns that engage and convert visitors into qualified pipeline." This means the machine learning that the chatbot comes with is already pre-trained and ready to go.

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Rulai offers virtual client assistants for AI that generate profits and save costs. With fast, convenient, chat-and SMS-based, human-like conversational interactions, the virtual assistants boost sales conversion rates and enhance customer experience. Rulai also interacts with most communications networks, applications for customer support, enterprise software for companies, and platforms for cloud storage.
AI Chat marketing solutions include a range of tools and platforms to create chatbot virtual assistants for marketing, sales and customer support on the most popular chat application in the U.S. and #2 chat application in the world -- with over 1.3 billion monthly users. Our chart compares the leading Facebook Messenger partner platform, their reviews and key Messenger automation features.

A chatbot is a special computer program using artificial intelligence (AI) that conducts a conversation with people, either via auditory or text input. Programmers design chatbots to realistically simulate how humans speak as conversational partners. Brands increasingly use chatbots to communicate with their customers and market their products. An AI chatbot can understand language wider than a set of pre-programmed commands and continues learning based on the inputs it receives. It can make changes based on patterns and become smarter over time.

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