When Amazon switched from traditional machine learning techniques to deep learning in 2015, it saw a 15-fold increase in the accuracy of its forecasts, a leap that has enabled it to roll-out its one-day Prime delivery guarantee to more and more geographies; Mastercard has used AI to cut in half the number of times a customer has their credit card transaction erroneously declined, while at the same time reducing fraudulent transactions by about 40%; and using predictive analytics to spot cyberattacks and waves of fraudulent activity by organized crime groups helped Mastercard's customers avoid some $7.5 billion worth of damage from cyberattacks in just the past 10 months [Fortune] The Press Association's news service RADAR (reporters and data and robots) has written 50,000 individual local news stories in three months with AI technology (NLP) guided by a team of 6 reporters [newsrewired.com] Ancestry used AI to extract obituary details that were hidden in a half-billion digitized newspaper pages dating back to 1690. The company's 24-person data-science team trained machine-learning algorithms to recognize obituary content in 525 million newspaper pages. It then trained another set of algorithms to detect and index key facts from the obituaries, such as names of the deceased's spouse and children, birth dates, birth places and more. Ancestry, which has about 3.5 million subscribers, now offers about 262 million obituaries, up from roughly 40 million obituaries two years ago.