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Marketing in a Digital World: Machine Learning is Upping Innovation and Agility
In an ever-changing world of increasingly digital businesses, marketers need to be able to respond instantly to a multitude of factors. They need to be as flexible as their industry is fluid. They need to be agile in their environments. A report from CMG Partners found that 63 percent of marketers indicated that agility is a high priority for them, but only 40 percent considered themselves as such. The same report found that marketing teams that do consider themselves agile are three times more likely to significantly grow market share. Considering this, it goes without saying that marketing departments need to examine what they can do to update their approach.
New AI-Based Search Engines are a "Game Changer" for Science Research
A free AI-based scholarly search engine that aims to outdo Google Scholar is expanding its corpus of papers to cover some 10 million research articles in computer science and neuroscience, its creators announced on 11 November. Since its launch last year, it has been joined by several other AI-based academic search engines, most notably a relaunched effort from computing giant Microsoft. Semantic Scholar, from the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington, unveiled its new format at the Society for Neuroscience annual meeting in San Diego. Some scientists who were given an early view of the site are impressed. "This is a game changer," says Andrew Huberman, a neurobiologist at Stanford University, California.
The CEO of £1.4 billion software giant Xero says AI will be 'transformational' for finance 7wData
The CEO and founder of cloud-based accountancy software giant Xero says artificial intelligence (AI) and machine learning technologies will be "transformational" for finance over the next few years. Rod Drury told Business Insider during a recent interview in London: "We'll see more innovation in the next 2 years than we have in the 10 years, all driven by AI." The Xero founder says: "We're getting a massive hit on the R&D we've done around machine learning and AI. We think it's going to be transformational for the industry. "If you capture information from the bank statement and the invoice and the bills that are flying through, you can actually programme things to do a whole lot of work for you and you're just checking and making fixes, which trains the machine." Xero's accountancy software helps small and medium-sized businesses manage their accountants in the cloud but Drury believes much of the management -- things like categorizing expenditure and sending accounts to be checked -- could be automated by "smart" AI and machine learning programmes, which learn the habits of your business. "You can build unique system for each business," says Drury. "The first innovation in cloud accounting was actually getting these transactions into the cloud.
Set the Machines free to learn
A decade ago straight through processing was a buzz word and speed to market was critical. The progress financial institutions have made in moving almost all aspects of their transaction foot print digital has left little to leverage on the transaction side. In today's day and time while most organizations are busy revamping their Policy administration systems which were long ready to be replaced a decade ago, what will set companies apart will be the organizations that start considering Machine Learning and Artificial intelligence(AI) for their core systems. If you look at the fundamentals of any kind of insurance, at the core, insurance offerings are about risk pooling and the ability of the insurer to price products in a manner such that over time the premium revenues outstrip the claims experience. In every type of insurance product the claims experience influencing the pricing and risk aggregation decision making done by the insurer.
Best of the web: Artificial Intelligence news for November 13, 2016
Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights. Tagged In USS Enterprise (NCC 1701 D) IBM Machine Learning Natural Language Processing Unstructured Data Knowledge Worker Web Application Framework Lucidworks Researchers from the US have developed an artificial intelligence system that surfs the internet to extract information and organise it for quantitative analysis. Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights. Researchers from the US have developed an artificial intelligence system that surfs the internet to extract information and organise it for quantitative analysis.
Lucidworks Integrates IBM Watson into Fusion Enterprise Discovery Platform
Trained AI Can Beat "Expert" Human Players at Mortal Kombat A Terminator of American jobs went unnoticed on Trump's judgment day: artificial intelligence What Your CEO Is Reading: Baidu Explains AI; Exclusive Gym Offers Retinal Scans; McKinsey on ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.
Flipboard on Flipboard
This space has been dedicated to exploring the ways in which robots are acting as change agents – of the category and of manufacturing. There's a lot to be said for the ways in which those transformations are taking place now, and it's all good. There's a case though, that what lies ahead for robotics in the Industry 4.0 or the Industrial Internet of Things (IIoT) is where real excitement takes place. In the IIoT, robots that combine mind and machine change the ways in which goods are produced, and the entire business of manufacturing. In the IIoT, agile factories are driven by "big data" – including quality metrics, market feedback and real-time demand signals.
Microsoft co-founder's academic search engine adds neuroscience
Researchers, scientists and academics around the world publish roughly 2.5 million scientific papers each year, on top of a backlog of more than 50 million papers dating back to 1665. Plus, the rate at which researchers publish these academic papers keeps rising, a la Moore's Law. It's impossible for scientists to read every paper published in their fields, and searching for a specific study can be a daunting task. Enter: Paul Allen, Microsoft co-founder and leader of the non-profit Allen Institute for Artificial Intelligence. The Allen Institute's latest effort is Semantic Scholar, a scientific-paper search engine powered by machine learning and other artificial intelligence systems.
You'll Never Believe Where Your Old Computer Could End Up After You Hand It In for Recycling
Roughly 20 km away from Hong Kong's slick, densely packed urban center lies the New Territories -- a suburban mishmash of rugged hills and scruffy villages, soaring new housing developments and vacant lots. This is where over half of the territory's 7.2 million people live. It could also be the resting place for your old PC or printer. Up to 20% of all U.S. electronic waste may be ending up in Hong Kong. Not in some scrapyard in the developing world, picked over by haggard children and wheezing laborers, but in the backyard of one of the world's most sophisticated financial capitals.