Do not be swayed by the dulcet dial-tones of tomorrow's AIs and their siren songs of the singularity. No matter how closely artificial intelligences and androids may come to look and act like humans, they'll never actually be humans, argue Paul Leonardi, Duca Family Professor of Technology Management at University of California Santa Barbara, and Tsedal Neeley, Naylor Fitzhugh Professor of Business Administration at the Harvard Business School, in their new book The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI -- and therefore should not be treated like humans. The pair contends in the excerpt below that in doing so, such hinders interaction with advanced technology and hampers its further development. Reprinted by permission of Harvard Business Review Press. Excerpted from THE DIGITAL MINDSET: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley.

How is AI taking over rule-based chatbots? Is AI the future of chatbots? We will answer these questions in this article. The chatbot industry is growing really fast year by year as many companies try to use chatbots to reduce customer service costs. With rapid advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP), more and more chatbots are made and released each day, and they serve a different purpose.

How is AI taking over rule-based chatbots? Is AI the future of chatbots? We will answer these questions in this article. The chatbot industry is growing really fast year by year as many companies try to use chatbots to reduce customer service costs. With rapid advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP), more and more chatbots are made and released each day, and they serve a different purpose.

B2B interaction is the situation where one business makes a commercial transaction with another business. The nature of such transactions is usually one business sourcing inputs from another. Companies take advantage of B2B chatbots to answer general questions, provide customer service support, mine data and nurture leads. In this article, we will explore what B2B chatbots are, how they can streamline B2B relationships, and showcase some use cases at the end. Chatbots are software applications used to conduct online conversations between users and bots, either through speech or text, instead of talking to a live agent. In line with that, a B2B chatbot is no different than a regular or emotional chatbot: Its ultimate goal is for the user to, through a conversation, get the information they are looking for.

The hype around Chatbots, AI-powered customer service software, is relentlessly gaining rapid momentum across the corporate world. These computer programs enabled by artificial intelligence simulate interactions with customers automatically based on a set of predefined conditions or events. As business applications of chatbots are growing rapidly, reports show that by 2020, 85 percent of brand-customer interactions will be done using chatbots and self-service options. Most businesses, especially those that operate in a changing market environment, always look for innovative technologies and solutions to address their customer's needs. With their ability to direct customers through the marketing funnel and keep them engaged with a brand, chatbots are adding new value to companies' responses to the customers' queries and interests.

U.S. Sen. Charles Schumer is asking Amtrak to discard the idea of creating new economy seating with reduced legroom aboard its trains. Schumer says in a statement Sunday that Amtrak should find other ways to save money without burdening passengers. Outgoing Amtrak co-chief executive Wick Moorman said last week that the company was looking at creating the "economy" seating that would add more rows of seats in an effort to make more money. Schumer is calling the idea "right out of the airline's playbook." The senator from New York is urging Amtrak to "scrap the shrinking seats idea" and look at other ways of making money.

Try to book a train ticket on Amtrak's home page and you might just swear off train travel. A recent attempt to book a journey from New York to Boston, for example, required toggling between windows, looking up obscure station codes, and waiting for slow page repaints. When the order was finally submitted, an error message came up noting that, due to technical difficulties, the request could not be processed. If only Amtrak's Web designers were as attentive as the makers of the railroad's telephone self-service system. That system, which features the digitized voice of an operator named Julie, is a primer on good customer service.

The Futurist: The Intelligent Internet The Intelligent Internet The Promise of Smart Computers and E-Commerce By William E. Halal Information and communication technologies are rapidly converging to create machines that understand us, do what we tell them to, and even anticipate our needs. We tend to think of intelligent systems as a distant possibility, but two relentless supertrends are moving this scenario toward near-term reality. Scientific advances are making it possible for people to talk to smart computers, while more enterprises are exploiting the commercial potential of the Internet. This synthesis of computer intelligence and the Internet is rapidly creating a powerful new global communication system that is convenient, productive, and transformative: the Intelligent Internet. Here are three simple examples of what should become common soon.

Personal assistants and software bots have enjoyed significant buzz in recent months. New assistants are launched every week, and the Slack App Store already lists more than 40 bots. Working with Opus Research, we have published an update of the Intelligent Assistance Landscape that looks into the implications of this trend. This report features 110 companies (increased from the 70 participants in the initial report from October, 2105). A high-resolution version of this landscape is available here.