BENGALURU: Microsoft India on Monday released new research revealing that organisations that combine deployment of artificial intelligence (AI) with skilling initiatives are generating most value from AI. Topline findings of the research underscore that mature AI firms are more confident about the return on AI and skills, a company statement said. Microsoft recently conducted the global survey with approximately 12,000 people working with enterprise companies (more than 250 employees). The research surveyed employees and leaders within large enterprises across industry verticals in India, and 19 other countries, to look at the skills needed to thrive as AI becomes increasingly adopted by businesses, as well as the key learnings from early AI adopters. Over 93 per cent of senior executives surveyed from these companies were sure their business was gaining value from AI. The research further highlights that employees from mature AI companies are eager to deepen their AI skills and reinvest freed up time to add value for the organisation.

On April 14, 1906, the Miles brothers left their studio on San Francisco's Market Street, boarded a cable car, and began filming what would become an iconic short movie. Called A Trip Down Market Street, it's a fascinating documentation of life at the time: As the cable car rolls slowly along, the brothers aim their camera straight ahead, capturing women in outrageous frilly Victorian hats as they hurry across the tracks. Early automobiles swerve in front of the cable car, some of them convertibles, so we can see their drivers bouncing inside. After nearly a dozen minutes, the filmmakers arrive at the turntable in front of the Ferry Building, whose towering clock stopped at 5:12 am just four days later when a massive earthquake and consequent fire virtually obliterated San Francisco. Well over a century later, an artificial intelligence geek named Denis Shiryaev has transformed A Trip Down Market Street into something even more magical.

The BBC, Apple News and The Washington Post have in the past month rolled out new ways to listen to their written articles, hoping to give busy subscribers a flexible way to explore stories and to attract new subscriptions, executives said. "We conducted user research and learned that users want to stay informed but are busy, so they appreciate an option to get up to speed on the latest news developments while cooking dinner, running errands or exercising," said Emily Chow, director of site product at The Washington Post. The Post said it began producing audio articles as an experiment "several years ago," but text-to-audio or click-to-listen story formats have been available for over a decade. The Economist Newspaper Ltd. began producing an audio edition of its weekly magazine in 2007 and little has changed since then, said Tom Standage, the company's deputy editor and head of digital strategy. The Economist sees audio articles as a way to retain subscribers and find new ones by publishing select content for free as podcasts, said Mr. Standage, who noted the offer "is not about advertiser revenue."

AI techniques can help predict when vehicle parts need to be replaced before the vehicle breaks down. If this can be done well it will save money.

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Lexalytics, the leader in "words-first" machine learning and artificial intelligence, announced that Zignal Labs, creator of the Impact Intelligence platform for measuring the evolution of opinion in real time, has chosen Lexalytics to extend its natural language processing (NLP) and text analytics capabilities to help marketers, communicators and analysts gain a greater understanding of perceptions across traditional and social media. Zignal Labs has incorporated Lexalytics' on-premises Salience engine to analyze media in real time, across multiple industries, including financial services, technology, healthcare, consumer products, sports, entertainment and more. With Lexalytics, Zignal's customers can understand what people are saying about products, services or current events, categorize discussions into separate groupings and themes, and evaluate the sentiment of media coverage across multiple languages. "With more people working from home, and the increase in online discourse caused by the COVID-19 crisis and social justice movements, we've seen an explosion in the amount of content we're analyzing for our customers in all parts of the world and had a need to expand our NLP capabilities for international languages," said Jonathan Dodson, CTO of Zignal Labs. "We chose Lexalytics because out of all of the market leaders we evaluated, they have the best combination of accuracy and performance, breadth of foreign language capabilities, scale and price, as well as an on-premises solution, offering maximum tuning and features while keeping data processing costs to a minimum."