In next eight years, revenue from Artificial Intelligence (AI) market will grow 25-fold to be more than Rs 3.9 lakh crore by 2025. This year the revenues globally stood at Rs 15,628 crore, according to a report by Tractica, a market intelligence firm that focuses on human interaction with technology. The expanding use for mobile AR will lead to growth from 34 crore unique monthly active users (MAUs) globally in 2016 to nearly 190 crore MAUs by 2022, the report says. The rise of AI and AR has prompted large multinational companies to acquire startups working in the field.
Danish Nilfisk Holding A/S began being listed on the NASDAQ Stock Exchange under symbol NLFSK after being spun off from NKT A/S, a Danish conglomerate. Nilfisk is one of the world's leading suppliers of professional cleaning equipment with a strong brand and a vision for growth in robotics. In that pursuit, Blue Ocean Robotics and Nilfisk recently announced a strategic partnership to develop a portfolio of intelligent cleaning machines and robots to add to the Nilfisk line of industrial cleaners. We already have good experiences with this, and we are looking forward to starting this partnership with Blue Ocean Robotics, which complements our other partnerships very well."
SAN MATEO, Calif., Oct. 3, 2017 -- Marketo, Inc., the leading provider of engagement marketing software and solutions, has announced Marketo ContentAI, an artificial intelligence-powered solution that engages each customer with the most relevant content across channels. Today's announcement reinforces Marketo's commitment to providing marketers with leading-edge AI solutions that empower them to win in the Engagement Economy. The solution is built natively on the Marketo Engagement Platform, leveraging the platform's customer data repository for more precise and personalized experiences at every touchpoint. For more information about this and Marketo's other natively built AI solutions visit www.marketo.com.
Using eComchain, retailers can now use powerful and practical ways, assisting interactions with the end consumer, resulting in increased online revenue and profit. With the help of Omni-channel personalization and personalized chatbots, the online retailer can now easily increase the conversion rate of an online shopper. AI in eCommerce is maturing, and will quickly dominate many areas of online shopping," says Rob Hayes, Business Development Director of eComchain, who spent 30 years in the retail industry having worked for Marshall Fields, Lands' End and JC Penney before joining eComchain early this year. As a spinoff from the Frisco, Texas based technology leader, iBizSoft Inc., it aims to deliver innovative e-Commerce and ERP cloud solutions to customers around the globe.
But the more interesting news is the acquisition of Fast Forward Labs, a company that specializes in consulting with larger enterprises about emerging trends in machine learning that can help their businesses grow. Cloudera specializes in operating on top of open-source technology, looking to deliver an enterprise-grade product for larger organizations. The company said it brought in revenue of $89.8 million and a loss of 17 cents per share, while Wall Street was looking for a loss of 25 cents per share on revenue of $85.5 million. Still, there appears to be an opportunity for businesses here, as Cloudera was able to deliver a positive earnings report and database software startup MongoDB has confidentially filed to go public.
For the third quarter, Okta expects a non-GAAP net loss per share of 25 cents to 24 cents on revenue in the range of $62 to $63 million. Meanwhile, Cloudera also posted second quarter financial results that beat market expectations. For the third quarter, Cloudera is expecting a non-GAAP net loss per share in the range of 25 cents to 23 cents on revenue in the range of $90 to $92 million. For the full fiscal 2018 calendar, the company expects a non-GAAP net loss per share in the range of 95 cents to 93 cents revenue in the range of $355 million to $360 million.
They talk less often about one of the most profitable, and more mundane, uses for recent improvements in machine learning: boosting ad revenue. A recent research paper from Microsoft's Bing search unit notes that "even a 0.1 percent accuracy improvement in our production would yield hundreds of millions of dollars in additional earnings." Google reported $22.7 billion in ad revenue for its most recent quarter, comprising 87 percent of parent company Alphabet's revenue. Google has reported steady growth in ad revenue for many years; Microsoft has called out strong growth in Bing search ad revenue and in average revenue per search in its past five quarterly earnings releases.
Many of those media companies poured resources into online video in the hopes that big advertising budgets will follow, but it has been harder to realize those ambitions without the second of the two big tech giants fully in the marketplace. "We foresee increasing spend on the platform provided Facebook can demonstrate consumer interest," said Bryan Wiener, executive chairman of digital media agency 360i. In some cases publishers are pitching show ideas to Facebook complete with estimates of episode length and production costs, and Facebook is choosing which individual shows it is willing to help finance, according to people familiar with publishers' discussions. For many publishers, creating content for Watch isn't a significant departure from the way they already create video content for Facebook's news feed or for other video platforms such as YouTube.
Intel earned $2.81 billion, or 58 cents per share during the three-month period ended July 1. That figure exceeded the average estimate of 68 cents per share among analysts surveyed by Zacks Investment Research. Intel's revenue rose 9 percent from last year to $14.76 billion, above the average analyst estimate of $14.41 billion, according to Zacks. Sales in Intel's division that includes personal computer chips posted revenue of $8.2 billion, up 12 percent from last year's second-quarter.
Total revenue rose 1 percent to $39.85 billion. The elevated performance in the second quarter was due mostly to a lowering of the company's corporate tax rate, from 30 percent down to 10 percent, Chief Financial Officer Bob Shanks acknowledged. But analysts pointed out that with the lower tax rate, that likely means a lower full-year net income than the $9 billion Ford previously guided. Ford Credit's revenue rose 7 percent to $2.7 billion in the quarter.