waterstone
The New Age of Reading
Alarm about declining interest in books is perpetual. But, as bookselling reaches unexpected heights, James Daunt, the chief executive of Barnes & Noble, thinks a different future is at hand. Daunt, the most important man in bookselling, maintains that a literary culture is something booksellers are well placed to build. It was the Friday before Labor Day, a lowering sun, when James Daunt, the most important man in bookselling, spilled off a train and turned to work. He had reached the end of the track in New Jersey. His destination, the Barnes & Noble in Eatontown, was three miles in from the shore. In the normal course of things, Daunt, who is tall and English and who often has the look of someone trying and failing to be invisible, would weave across the final stretch by bicycle--he has a folding Brompton--but the afternoon was muggy, and the traffic unkind, so he crammed into a rideshare car. On the map, Eatontown looked minuscule, but on the approach it unfurled: shopping mall ...
We would sell books by AI, says Waterstones boss
Waterstones would stock books created using artificial intelligence, the company's boss has said, as long as they were clearly labelled, and if customers wanted them. However, James Daunt, a veteran of the bookselling industry, said he personally did not expect that to happen. There's a huge proliferation of AI generated content and most of it are not books that we should be selling, he said. But it would be up to the reader. An explosion in the use of artificial intelligence, or AI, has prompted heated debate in the publishing industry, with writers concerned about the impact on their livelihoods.
H&M Has a Plan to Save Itself
H&M is good at making amazing frocks for the Met ball, but it's less good at making money: The company's profits for the first quarter of this year were down 69 percent, and it effectively ran out of cash in 2017. The latest pitch from the fast-fashion retailer, covered as a "pivot" in the Wall Street Journal earlier this week, uses lots of trendy buzzwords like A.I. and big data. The general idea is that by "using algorithms to analyze store receipts, returns and loyalty-card data," H&M will be able to "tailor merchandise in each store to local tastes, rather than take a cookie-cutter approach." Stripped of its techno buzzwords, this is the old idea of localization, as laid out in a 2006 Harvard Business Review article by Vijay Vishwanath and Darrell K. Rigby. "The era of standardization is ending," they wrote.