If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Some of the hottest fields in business call for exactly the skills that the accounting profession offers, according to IBM's Leon Katsnelson. In a keynote address on artificial intelligence at CPA.com's 2017 Digital CPA conference, held in San Francisco in early December, Katsnelson, who is director and chief technology officer for strategic partnership for data science at IBM, introduced the accountants in attendance to two of the newest professionals on the block: data scientists and data engineers. Both of those jobs are only about five years old, he said, but are already in the top ranks in terms of compensation. "To be a data scientist, you need three things," explained Katsnelson. First are programming skills – not necessarily full coding capabilities, but a familiarity with the field.
J.P. Morgan is one of the most advanced banks when it comes to data science and machine learning. It hired in Geoffrey Zweig from Microsoft in February 2017 as head of machine learning. It's actually launched a market-making product (LOXM) based on machine learning and it recently promoted Samik Chandarana, a former credit trader, to head its data science and analytics (effectively its machine learning) strategies. Chandarana hasn't actually started his new job yet – he's still a trader, but he'll be starting it soon and in an interview posted on J.P. Morgan's Youtube channel, he expresses various opinions about what it will entail. The bottom line, as Saeed Amen explained in a recent blog, is that machine learning and data science jobs in investment banks aren't necessarily as exciting as they seem.
Clustered data is all around us. The best way to attack it? Inspired by the models, Sourav and his team at Manifold developed an open source-implementation package for the Python community to use -- and build upon: Mixed Effects Random Forests. Sourav will explain how the mixed effects random forests model marries the world of classical mixed effect modeling with modern machine learning algorithms, and how it can be extended to be used with other advanced modeling techniques like gradient boosting machines and deep learning. He will provide examples of use cases of mixed effects random forests, and demonstrate MERF performance on synthetic and real data.
Google is deepening its push into artificial intelligence (AI) by opening a research centre in China, even though its search services remain blocked in the country. Google said the facility would be the first its kind in Asia and would aim to employ local talent. Silicon Valley is focusing heavily on the future applications for AI. China has also indicated strong support for AI development and for catching up with the US. Research into artificial intelligence has the potential to improve a range of technologies, from self-driving cars and automated factories to translation products and facial recognition software.
AWS DeepLens Looking for a new way to learn machine learning? Let a machine teach you with AWS DeepLens, the world's first deep learning enabled video camera for developers. Designed to connect securely to a variety of AWS offerings, including AWS IoT, Amazon SQS, Amazon SNS, and Amazon DynamoDB, AWS DeepLens uses Amazon Kinesis Video Streams to stream video back to AWS and Amazon Rekognition Video to apply advanced video analytics. Easy to customize and fully programmable with AWS Lambda, AWS DeepLens runs on any deep learning framework, including TensorFlow and Caffe. Amazon SageMaker Amazon SageMaker offers developers and data scientists a quick and simple way to build, train, and deploy machine learning models at any scale.
Good scientists are not only able to uncover patterns in the things they study, but to use this information to predict the future. Meteorologists study atmospheric pressure and wind speed to predict the trajectories of future storms. A biologist may predict the growth of a tumor based on its current size and development. A financial analyst may try to predict the ups and downs of a stock based on things like market capitalization or cash flow. Perhaps even more interesting than the above phenomena is that of predicting the behavior of human beings.
The work of the British codebreakers at Bletchley Park during World War II is now a famous tale of genius, perseverance and success that saved the lives of civilians and troops alike and supposedly shortened the war by as many as two years. Using mathematical and deciphering skills as well as innovative computer technology, the supposedly unbreakable Enigma code was cracked, allowing British intelligence to discover where hostile U-boats, ships and troops were heading so that Allied troop and convoy vessels could alter their routes accordingly. The Enigma machine was so complex that its most advanced incarnation could be configured 158,962,555,217,826,360,000 different ways but had one flaw which led to its downfall - no letter could be substituted for itself. Even with this knowledge it took years many brilliant men to women months to crack the code. At the Imperial War Museum last week, two companies – DigitalOcean and Enigma Pattern – used the latest AI technology to decipher a German message in a live demonstration.
Try Apache Spark 2.1 & Zeppelin in Hortonworks Data Cloud by Vinay Shukla Wanna try Spark 2.1 Now? Well, you are in luck… Hortonworks Data Cloud ("HDCloud") for AWS gives you a quick way to launch a Spark cluster in the cloud. Read More Machine Learning & its Impact on the Future for Insurance by Cindy Maike First and foremost, machine learning WILL change the way insurers do business. The insurance industry is founded on forecasting future events and estimating the value/impact of those events and has used established predictive modeling practices – especially in claims loss prediction and pricing – for some time now. Read More A Reference Architecture for the Open Banking Standard… by Vamsi Chemitiganti Financial services firms specifically deal with manifold data types ranging from Customer Account data, Transaction Data, Wire Data, Trade Data, Customer Relationship Management (CRM), General Ledger and other systems supporting core banking functions.
Technologies such as digital, big data, Artificial Intelligence, automation and machine learning are increasingly shaping future of work and jobs. Despite concerns about humans losing their jobs to automation, the fact remains that future of jobs has never been brighter, according to Manish Bahl, Senior Director, Centre for the Future of Work, Cognizant Technology Solutions. Work has always changed, and will continue to change. While work that is tedious and repetitive will get automated, machines will always need humans. It would be naïve to underestimate human imagination or ingenuity.
New KDnuggets Cartoon looks at how AI and the new technology, such as self-driving cars, can change Christmas. Reindeer: With those new self-driving sleighs we can finally relax. This cartoon was ably drawn by Jon Carter. Here are other KDnuggets Big Data, Data Mining, and Data Science Cartoons and KDnuggets posts tagged cartoon. Cartoon: What Else Can AI Guess From Your Face? Cartoon: Future Machine Learning Class Cartoon: The First Ever Self-Driving, Deep Learning Grill Cartoon: Mother Of All Data Cartoon: Machine Learning - What They Think I Do Cartoon: the distance between Espresso and Cappuccino Cartoon: Taxes, Artificial Intelligence, and Humans Cartoon: What Happens When AI Masters the March Madness Causation or Correlation: Explaining Hill Criteria using xkcd Cartoon: Perfect Valentine's Dates Found With Data Analysis Cartoon: When Self-Driving Car Machine Learning takes you too far ... A Funny Look at Big Data and Data Science Cartoon: Thanksgiving, Big Data, and Turkey Data Science.