銀行「人機合一」 提升客戶體驗

(原文於2016年9月5日在香港經濟日報刊登)

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銀行利用人工智能於客戶服務,早已不是新鮮事。如星展銀行在2014年開始把IBM Watson 認知運算技術應用於熱線中心,協助職員加快處理電話查詢、提供更理想的客戶服務體驗。此外,日本三大銀行之一的瑞穗也在去年利用Watson技術協助處理客戶電話查詢。

瑞穗更於今年5月委派機械人「Pepper」為服務大使,在若干分行實地測試。因Pepper的腦袋具備Watson技術,故能作親切對答,不單接收人類語言內容,更能從語調辨別對方情緒反應,即時提供對應資訊。

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The beauty of big data: the L’Oréal and IBM story

(Note: This article is a repost from IBM Big Data & Analytics Hub)

You can simply walk down the aisles of main street pharmacies to see that L’Oréal products are in every area of beauty care from glossy lipsticks, eye shadows and blushes to hair care products. I’ve only seen the ranges in the UK, but in fact the company is present in 130 countries, across 28 international brands.

Over 100 years of beautiful

The L’Oréal brand was originated back in 1909 by a young chemist. He researched and manufactured the first hair dye which he then sold to Parisian hairdressers. Just 10 years later the company had become international, with women all over the world becoming more conscious of their appearances, and some looking to L’Oréal products to cover those gray hairs that had snuck up on them.

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