Using artificial intelligence in marketing has made the lives of agency professionals easier in many ways. Having chatbots that can come up with their own appropriate responses or voice-based searches for consumers helps manage the volume of users interacting with a brand efficiently.
There are over 1 billion people currently in retirement. New types of financial institutions are evolving to satisfy the needs of the aging population. Investment banks, pension funds, and insurance companies are developing new business models, and are using AI to improve the quality of the analytics used to formulate them. In the near future, the synergy between innovative AI and wealth management will lead to the creation of a new financial institutions optimized for the aging population and age-friendly Longevity banks will make banking easier and safer for seniors.
Ever since the day we began building robots, we’ve been worried about the day they’d come for us — that they would inevitably rise up and possibly even wipe out humanity.
We’re living in the age of the customer. Thanks to the proliferation of data, customers are more informed than ever before. There’s been a seismic shift in the power dynamic between businesses and customers. Armed with empowerment, customers are demanding that customer experience be put on a pedestal. According to research by Walker, customer experience is slated to overtake price and product as the key brand differentiator by the end of 2020.
Academics from Cornell University have concluded that machine learning could potentially be used for applications such as automated checkout systems following an experiment using the technology to identify what food and drink Oktoberfest-goers preferred.
“Data science and software engineering problems are now front and center for the life sciences industry,” says Sajith Wickramasekara, CEO and co-founder of Benchling, a San Francisco-based start-up focused on this very problem. “
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