Artificial intelligence is expected to revolutionise the financial services industry with an unprecedented depth and breadth of insight and the ability to act on information and learn from its actions. However, many executives acknowledge a degree of risk surrounding the use of AI, according to a research from global law firm Baker & McKenzie. Trading, financial analysis and IT are expected to be changed the most over the next three years according to respondents, but the impact is expected to be wide ranging with machine learning to affect risk assessment, credit assessment and portfolio management. Survey respondents were clear that machine learning will have a positive impact on competitiveness in financial markets yet believe the most negative effects of AI will be in the makeup of the work force and market stability. Like with all technology, the introduction of AI in financial services will largely depend on how it is employed that will ultimately determine the risk and reward. It also raises important questions and concerns about the liability of a functioning AI platform.

The digital world is getting smarter. Your customer engagement options need to get smarter, too, in order to thrive in digital. This is where AI (Artificial Intelligence) and predictive analytics come in. Just like peanut butter and jelly, Digital and AI combine to create "wow"--across the entire experience chain, including the business, frontline agents, and ultimately the end-customer. Reserve your seat for this game-changing day, so you can get on the fast track to digital domination!

Computer programs can already match judges in decision-making, a conference highlighting the growing use of artificial intelligence in law heard last night. A poll of more than 300 attendees at the Law Society's Robots and Lawyers conference found that 48% of respondents' firms already use some form artificial intelligence (AI) -- though only 4% agreed that lawyers will eventually be replaced by robots. However, research conducted by the University of Liverpool suggests a decision-making algorithm could be as effective at dispensing justice as a judge. Professor Katie Atkinson (pictured), head of the university's department of computer science, said the university had researched whether its computer programs could replicate the reasoning that judges go through. Looking at'a body of case law' covering 32 cases, the programs had a 96% success rate and got only one case wrong, she said.

A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Please feel free to pull requests, email Myungsub Choi (cms6539@gmail.com)

Here's the tech news you need to know this Thursday. The deal will help Google expand its service into dense, urban areas like apartment buildings with multiple units. The company, which provides phone and text-message services to app developers, is now valued at 1.23 billion ( 833 million), beating the company's last private valuation of around 1 billion ( 677 million). The catch is that employees and "certain" ex-employees are eligible for the buyback offer only if they agree to a variety of conditions, including no talking to the media. The research supports the theory that AI is the next major revolution in computing.

Recently found a post by Ali Syed on topic; "Europeans unconvinced by big data in general". This study was conducted for the Vodafone Institute for Society and Communications by Kantar-owned market researchers TNS Infratest. It analyses over 8,000 individuals across eight European countries and offers valuable insight into people's perceptions of big data and analytics Still there are people or groups don't believe that we are living in the age of Big Data. Other way round we can say they think Big Data is just a hype created by technology people. To me the concept of Big Data is not new.

IBM Watson, the distributed natural language processing platform, isn't the only advanced system available, but it's the highest-profile and arguably the most sophisticated. It's also important to recognize how shrewdly Watson is being marketed. Even before Watson was Watson, IBM was adept at generating publicity for its futuristic computing activities. Most famously, Big Blue beat world chess champion Garry Kasparov in 1997. Four years later, Watson, in a form far more rudimentary than today's commercialized version, beat Ken Jennings, the human Jeopardy!

Society is on the brink of the second industrial revolution according to Wired co-founder Kevin Kelly who says the formula for tomorrow's startups is simple; add artificial intelligence (AI). Kelly was speaking as part of a keynote at the Cannes Lions on the "inevitable" 12 technological forces that will shape the world. One of the key changes that Kelly sees on the horizon is AI, which he says is "launching the second industrial revolution". The first revolution, he says, came about because of the invention of "artificial power" which could be added to manual processes to make them easier. Using an example of a water pump moving from a manual process to an electric pump, Kelly says the formula for the industrial revolution was "take X, add electricity, and you have something new that can do something we couldn't imagine before".

The artificial intelligence market is estimated to grow from USD 419.7 Million in 2014 to USD 5.05 Billion by 2020, at a CAGR of 53.65% from 2015 to 2020. The report aims at estimating the size and future growth potential of the market across different segments such as technology, application, and region. The base year considered for the study is 2014 and the market size is forecasted from 2015 to 2020. With the rise in adoption of AI in the media & advertising, retail, finance, and healthcare sectors, the machine learning and natural language processing technologies are expected to play a key role in propelling the growth of the AI market in the next five years. The research methodology used to estimate and forecast the artificial intelligence market begins with capturing data on key market player revenues through secondary research.

Futurist Ray Kurzweil predicted in 1990 that a computer would beat a human world champion chess player by 1998. In 1997, that actually happened with IBM's Deep Blue. Since then, artificial intelligence (AI) has continued to advance rapidly, making now a good time to brush up on what is considered the next wave of highly disruptive technology. AI consists of many sub disciplines such as natural language processing, computer vision, knowledge representation and reasoning. The technology is making its way into a broad range of industries from marketing with behavioural targeting, to healthcare with accurate and early detection of complex diseases, to infrastructure with smarter urban planning.