big data

The Rap of China Uses AI to Select First Female Judge


A new series of last year's TV hit The Rap of China has kicked off and with it comes the show's first female judge joining the likes of Kris Wu and MC Hotdog. The selection of Hong Kong singer G.E.M., real name Gloria Tang Tsz-Kei, has raised some eyebrows among critics due to the use of artificial intelligence in her selection, as well as her hip-hop credentials. "G.E.M joining The Rap of China is a bit of an embarrassment as her previous image falls short in terms of rap elements," one music critic after learning of the singer's inclusion on the talent show's judging panel. Although the news has drawn widespread criticism from a host of music critics, the move was not unexpected. With G.E.M's involvement, this show hit a new peak in terms of viewing figures in its first week.

AI-first approach across industries will transform us: Microsoft CEO Satya Nadella


Recent advances in Artificial Intelligence (AI) have been "pretty stunning" but what the humanity is going to see soon will be even more profound across the spectrum, Microsoft CEO Satya Nadella has stressed. Addressing thousands of partners at the'Microsoft Inspire' event here on Wednesday, Nadella said that the potential is for us to be able to turn every industry into an AI-first industry, be it retail, healthcare or agriculture. "It's happening because of the ability to provision lots of computing capability, to have lots of data, and these new techniques of algorithm promise around the deep neural net in particular," Nadella said. "For us to be able to turn every industry into an AI-first industry, whether it's retail or healthcare or agriculture, we want to be able to make sure that they can take their data, in a security-privacy preserving way, convert that into AI capability that they get the return on. Wherever there is data, the computer will migrate to data.

Why 'Cognitive Computing' Is the Next Big Thing for Business Growth


Computers have always been faster than humans at consuming, calculating and computing data, and artificial intelligence is a boon for our global economy. Yet, computers do have their limitations. They are machines, after all, and lack native precision when attempting to recognize and interpret language, objects or images on demand. In those instances -- especially when verification is required to proceed with a transaction -- most programs require a fail-safe checkpoint. Ever notice the requests to verify that you're not a robot when submitting data online?

Big data playing bigger role as airlines personalise service - Tech News The Star Online


You're settling into your window seat, bound for a summer vacation, when the flight attendant wishes you a happy birthday or commiserates about the lousy weather that delayed the last leg of your trip. It might feel like the flight crew has been scouring your recent social media posts, but at some airlines, that wouldn't be necessary. Carriers like United Airlines, Delta Air Lines and Southwest Airlines are giving gate agents and flight attendants access to more customer data in hopes of giving passengers more personalized service. Still, there's only so much a birthday greeting can do to make up for a lost bag or late arrival, particularly when airlines want to steer clear of conversations that feel too personal. Most of the data they're working with is the sort of information airlines have long collected.

Transforming Big Data into Meaningful Insights - insideBIGDATA


In this special guest feature, Marc Alacqua, CEO and founding partner of Signafire, discusses a useful approach to data – known as data fusion – which is essentially alchemy-squared, turning not just one but multiple raw materials in to something greater than the sum of their parts. It goes beyond older methods of big data analysis, like data integration, in which large data sets are simply thrown together in one environment. Marc is a decorated combat veteran of the U.S. Army Special Operations Forces. For his service during Operation Iraqi Freedom, he was cited for "exceptionally conspicuous gallantry" and awarded two Bronze Star Medals and the Army Commendation Medal for Valor. A 20-year veteran and Lieutenant Colonel, Marc has extensive command experience in both combat and peace time, having commanded airborne and light infantry as well as special operations units.

Numus – personal finance at new levels – Besim on Data


Most of existing Personal Finance applications are boring, because they are all dependent on manual data input, then follwing the right segments of costs, income or balance, for each of them to be placed on right category, sub-category, type etc… just boooring! In addition, you have to consider manual input fails together with the impossibility of live update your financial status, to make it even worst experience. These and many other reasons make the existing Personal Finance applications nearly useless. Lately, in the era of #Fintech revolution, there are indications that many startups are providing or will provide Financial data as a service. Even, EU came with new regulation called PSD2 that will make financial data more accesible in a format of Open data concept.

The best programming language for data science and machine learning


Video: What programming languages do you need to know to earn more? Arguing about which programming language is the best one is a favorite pastime among software developers. The tricky part, of course, is defining a set of criteria for "best." With software development being redefined to work in a data science and machine learning context, this timeless question is gaining new relevance. Let's look at some options and their pros and cons, with commentary from domain experts. Artificial Intelligence – Towards Data Science


This article shows you how we created an We can predict the topic of the comic from the description of the comic. My circle of friends has a huge nerd crush on Randall Munroe, the author of the xkcd comics, and books like what if?. Mary Kate MacPherson took the initiative, and scraped the transcripts for every comic, and used my patent analyzer code to turn the transcripts into embedding vectors. She then tossed the vectors and labels into tensorflow and crunched the data down into clusters using t-SNE. Those of you who know will be well aware that the comics are numbered sequentially.

Is Big Data Enough for Machine Learning in Cybersecurity? - Security News - Trend Micro USA


Threat data is no exception: Cybercriminals add to its abundance as they continuously up their game by tweaking old and creating new threats to evade detection. To address the vast amounts of threat data, security providers turn to machine learning to automate processes and improve security solutions. With the great diversity and volume of threat data available, machine learning is necessary to efficiently go through a dataset, learn from it, and help reinforce defenses against cyberthreats. The importance of the quantity of threat data is evident. But is data quantity the end all and be all of effective machine learning?

Banking on big data to hire the best: The Belong Story


"Companies want to build great teams by hiring the best talent. But the best people don't apply on job sites typically. So then how do you hire those people?" Founded in 2014 by Exotel co-founder Vijay Sharma, Sudheendra Chilappagari, Saiteja Veera, and Rishabh Kaul, the idea was simple- instead of the inbound approach to hiring which companies follow, Belong bet on outbound hiring to disrupt the hiring space. The predictive hiring startup aims to give companies the tools to help them reach out to the best people, making it a very personalized engagement.