Naoto Ichihara, an Assurance partner for Ernst & Young ShinNihon LLC in the Tokyo office, always had a passion for programming. He develops models and systems for audit and was interested in how machine learning could be applied to accounting data. After surveying existing academic papers and algorithms, Naoto realized there was a better way to detect anomalies through machine learning, and he coded an AI solution that could sense anomalous entries in large databases -- the first-of-its-kind in the auditing field. Never imagining himself an inventor, the technology was patented and Naoto built a team of auditors and developers to test and improve the solution's detection method. This innovative tool was named EY Helix GL Anomaly Detector, or Helix GLAD.

Trite as it may sound, all good things must come to an end. And the good thing that's about to come to a grinding halt is early-bird pricing on passes to Disrupt Berlin 2019. You have mere hours to save -- the deadline strikes tonight at 11:59 p.m. (CEST). You can save up to €500, but only if you beat the clock. Buy your early bird pass right now, otherwise you'll pay more than necessary -- how sad.

The service, called Proactive Customer Care, will be offered to U.S. customers in January. Owners of Wi-Fi-connected LG appliances will be able to access the alerts through the company's ThinQ mobile app. LG said the service will be available for some 2018 and 2019 appliance models and for all 2020...

Civil court leaders have a newly strong interest in how artificial intelligence can improve the quality and efficiency of legal services in the justice system, especially for problems that self-represented litigants face [1, 2, 3, 4, 5]. The promise is that artificial intelligence can address the fundamental crises in courts: that ordinary people are not able to use the system clearly or efficiently; that courts struggle to manage vast amounts of information; and that litigants and judicial officials often have to make complex decisions with little support. If AI is able to gather and sift through vast troves of information, identify patterns, predict optimal strategies, detect anomalies, classify issues, and draft documents, the promise is that these capabilities could be harnessed for making the civil court system more accessible to people. The question then, is how real these promises are, and how they are being implemented and evaluated. Now that early experimentation and agenda-setting have begun, the study of AI as a means for enhancing the quality of justice in the civil court system deserves greater definition.

A new study claims that the UK is at the forefront of a global drive for Artificial Intelligence investment, with a near universal 99 percent of UK respondents planning to invest in AI, versus 80 percent in North America, and 83 percent in mainland Europe. The report from IFS (registration) sets out to explore the perception and adoption of AI within core industries worldwide. It polled the views of 600 decision makers working with technology and suggests that AI will predominantly be used to make existing workers more productive (60 percent) and add value to products and services (48 percent). Just 18 percent of businesses said they would be utilising AI to replace existing workers, while more than 60 percent stated AI would either increase headcounts or would keep them the same, countering fears it will lead to job losses. Those that did plan to use AI to replace workers overwhelmingly came from large enterprises, which employ greater numbers in the process-driven roles that are most likely to be lost to automation.

The graph represents a network of 2,353 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 November 2019 at 19:32 UTC. The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 5-day, 13-hour, 33-minute period from Tuesday, 05 November 2019 at 11:26 UTC to Monday, 11 November 2019 at 01:00 UTC.

Teams that work with open data may feel like they face an explosion of information these days, but there are resources being brought to bear to process such data and stem the tide. Last week's FICO World conference in New York revealed some of the varied ways the credit niche of the financial world tries to apply big data analytics and so-called decision technology. The conference was largely a showcase for data analytics company FICO, but some presentations spoke to a broader context -- using machine learning and other resources to process vast amounts of data. Peter Maynard, senior vice president of data and analytics for strategic client and partner engagement at Equifax spoke about a partnership between his consumer credit reporting agency and FICO. He was joined by Tom Johnson, senior director with FICO, to discuss their joint effort combining data in a platform for decision making.

A new survey from Gould Finch finds that AI is poised to become the "essential key to success for the publishing industry," according to Colin Lovrinovic, managing director, Gould Finch. The in-depth, six-month survey brought back perspectives from 233 participants in publishing, who hailed from 17 countries. One of the report's top conclusions: Large, medium and small-sized publishers are all seeing spikes in readership with the introduction of AI tools. Specifically, the news organization's Web site will rely on'semi-automated journalism' to produce election results coverage in English for 650 UK constituencies. Another 40 stories will be AI-generated in Welsh.

Asus Japan announced this week that it'll show off two new single-board computers at the upcoming ET & IoT Technology 2019 event kicking off November 20 in Yokohama, Japan. The latest Tinker Edge T and Tinker Edge R are designed specifically for IoT (Internet of Things) and edge AI applications. The Tinker Edge T measures 85 x 56mm, which is around the size of a credit card. Both single-board computers depend on a small heatsink with an accompanying cooling fan to stay cool during operation. The system also relies on the Vivante GC7000 Lite 3D graphics engine and Google's Coral Edge tensor processing unit (TPU), which is optimized for Tensorflow Lite and boasts performance up to 4 tera operations per second (TOPS). The Tinker Edge R employs a Rockchip RK3399 Pro system on chip (SoC) that boasts a three-in-one design.

I didn't decide to blow the whistle on Google's deal, known internally as the Nightingale Project, glibly. The decision came to me slowly, creeping on me through my day-to-day work as one of about 250 people in Google and Ascension working on the project. When I first joined Nightingale I was excited to be at the forefront of medical innovation. Google has staked its claim to be a major player in the healthcare sector, using its phenomenal artificial intelligence (AI) and machine learning tools to predict patterns of illness in ways that might some day lead to new treatments and, who knows, even cures. Here I was working with senior management teams on both sides, Google and Ascension, creating the future.