application development


R: Complete Machine Learning Solutions - Udemy

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With machine learning, the analysis of business operations and processes is not limited to human scale thinking; machine scale analysis enables businesses to capture hidden values in big data. By taking this course, you will gain a detailed and practical knowledge of R and machine learning concepts to build complex machine learning models. Dipanjan Sarkar is an IT engineer at Intel, the world's largest silicon company, where he works on analytics, business intelligence, and application development. He is an IT engineer at Intel, the world's largest silicon company, where he works on analytics, business intelligence, and application development.


IBM: DevOps, AI to Drive Digital Business Transformation - DevOps.com

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But rather than there being not enough developers to write all the code necessary, the shortage will be in software engineers who can develop innovative systems. Instead of writing low-level code, most developers today simply combine modules to create new applications. People will add value by providing the engineering expertise needed to combine modules to create an innovative application, Lord says. But as application development advances, many of those developers will be software engineers rather than people who write code, while IT operations teams will become teachers who train intelligent systems how to respond to the needs of deployed code.


Who Pays When AI Goes Wrong? Articles Big Data

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Driverless cars are the most pressing AI-related consideration for the insurance industry, with recent advances from the likes of Google, Uber, and Volvo making it likely they will dominate the roads within the next decade. In June, British insurance company Adrian Flux began offering the first policy specifically geared towards autonomous and partly automated vehicles. The policy covers typical car insurance staples such as damage, fire, and theft, as well as accidents specific to AI - loss or damage as a result of malfunctions in the car's driverless systems, interference from hackers who have got into a car's operating system, failure to install vehicle software updates and security patches, satellite failure or outages affecting navigation systems, or failure of the manufacturer's vehicle operating system or other authorised software.


Idevnews SAS Enters Era of 'Open Analytics' with Viya Platform's Focus on Cloud, Open Programming and Machine Learning

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Powering these'open analytics' advantages are several notable architecture highlights of the SAS Viya platform, including: SAS Viya delivers optimized in-memory capabilities for analytics as well as elastic processing that can automatically adapts to needs of the tasks. Under the covers, SAS Viya's'unified platform' brings together several SAS technologies: SAS Visual Analytics - A data discovery and visual analytics tool that lets users explore their data, perform forecasting, build reports, and also offers text analysis, amongst other tools. Adding support for these new open source programming interfaces lets SAS Viya users publish, run, manage and govern code from any analytic code base – and using any analytic skill set, he added. Notably, SAS provides backward compatibility to let existing SAS assets run with the SAS Viya environment.


MediaGamma Launches Next Generation Artificial Intelligence Product Set to Reshape the Ad Tech Market

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By applying deep learning to unique data sets, coupled with MediaGamma's unique AI Decision Support Engine, the product is set to provide players in the ecosystem with over 90% certainty about a user's interests and demographic profile. The new product will help people to navigate uncertainty to make better decisions, and a major telecoms company has already signed up. By analysing relationships and signals that are difficult to pick up in datasets, our AI Decision Support Engine can make digital businesses more efficient, more relevant and more profitable." The MediaGamma probabilistic Decision Support Engine was developed for the edge-case of real time web scale advertising, but the engineering required to make that work also makes it applicable to many other business applications - the deal with a major telecoms company underlines this.


AI: Economic Boom But Jobs Bust? - InformationWeek

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Enterprises around the world are increasingly investing in technologies for data innovation, including machine learning and even artificial intelligence (AI) as they look to close the gap with digital native companies such as Uber and Waze. A report from the company shows that these technologies are poised to exert an enormous impact on economic growth rates and workforce productivity. Accenture said that AI technology could double economic growth rates by 2035 by changing the nature of work. The firm said cognitive technologies like artificial intelligence, machine learning, and robotic automation will eliminate 16% of US jobs by 2025, but they will also create new jobs amounting to a 9% increase over the same period, for a net job loss of 7%.


Toyota Invests 1 Billion in Artificial Intelligence in U.S.

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The new effort by Toyota is also the latest indication of a changing of the guard in Silicon Valley's basic technology research. In September, when Dr. Pratt joined Toyota, the company announced an initial artificial intelligence research effort committing 50 million in funding to the computer science departments of both Stanford and M.I.T. In addition to focusing on navigation technologies, the new research corporation will also apply artificial intelligence technologies to Toyota's factory automation systems, Dr. Pratt said. A version of this article appears in print on November 6, 2015, on page B3 of the New York edition with the headline: Toyota Planning an Artificial Intelligence Research Center in California.


In insurance Big Data could lower rates for optimistic tweeters 4-Traders

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This could lead to future insurance cover based on "sentiment analysis", in which Big Data and artificial intelligence make predictive models ever more accurate. The Vitality health and life insurance program assesses a customer's overall health based on factors from age and blood pressure to diet, exercise and self-assessed happiness levels. It then establishes a personalized health improvement plan, tracking users' progress via purchases and wearable devices. "If I calculate every individual's personal premiums and personal risk, I'm no longer spreading risk out collectively," VZBV insurance expert Lars Gatschke said.


In insurance Big Data could lower rates for optimistic tweeters

#artificialintelligence

This could lead to future insurance cover based on "sentiment analysis", in which Big Data and artificial intelligence make predictive models ever more accurate. The Vitality health and life insurance program assesses a customer's overall health based on factors from age and blood pressure to diet, exercise and self-assessed happiness levels. It then establishes a personalized health improvement plan, tracking users' progress via purchases and wearable devices. "If I calculate every individual's personal premiums and personal risk, I'm no longer spreading risk out collectively," VZBV insurance expert Lars Gatschke said.


The Guardian view on machine learning: people must decide Editorial

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Researchers working for Google have produced a new kind of computer intelligence which can learn in ways less immediately dependent on its programmers than any previous model. For the moment, this approach is less efficient than the old-fashioned, more specialised forms of artificial intelligence, but it holds out promise for the future and, like all such conceptual advances in computer programming, it raises more urgently the question of how society should harness these powers. Armies are perhaps the most completely algorithmic forms of social organisation. Yet too much contemporary discussion is framed as if the algorithmic workings of computer networks are something entirely new.