Adult chat bot that tells sex stories
Determining if your organization is an intelligent enterprise or a slow learner may be challenging, but a new index quantifies criteria in terms of data usage, workflow efficiency, and progress toward the Io T.Successful enterprise Dev Ops transformations share several common characteristics, strategies and techniques which enable an organization to break down the transformation into smaller, achievable steps.To be sure, Microsoft’s “chat bot” Tay, big-eyed, cute, and artfully pixelated, may represent the future.Chat bots, AI-powered fake people that interact with customers via text messages, have become a huge focus across many industries.“They are simple, efficient and they live where the users are — inside the messaging services.” Outbrain, a company that uses behavioral analytics to determine which set of quirky stories will appear low down on many news websites, is talking with a number of publishers about building chat bots to deliver their news via text, Forbes reported.“These bots will become like official accounts for chat apps to whom you can text keywords like ‘sports’ or ‘latest headlines’ to bring up stories,” according to Forbes.Transformation is on every IT organization's to-do list, but effectively transforming IT means a major shift in technology as well as business models and culture.In this IT Trend Report, we examine some of the misconceptions of digital transformation and look at steps you can take to succeed technically and culturally.
And with premium subscriptions being the next big focus of news publishers, Facebook is listening and testing new subscription models in Instant Articles.
We're firm believers in the magic of Instant Articles, and constantly preach that it can tremendously help your social strategy.
Big publishers like The Atlantic who have remained committed to using the format as part of their distribution strategy have reaped the benefits.
There's great value for companies to use automation technologies in analytics, taking advantage of the vast data sets now available.
Making machine learning models more precise isn't just about technology; but a reimagination of business structure and the roles of tech and people.