"Think about just how interconnected the world is now," said Matt Gould, the co-founder of Arria NLG, a prominent enterprise in the development and deployment of Natural Language Generation (NLG) technologies worldwide. "Think about it from just a personal context. How much data are you generating personally every day?" Modern, connected humans interact constantly online with computers, mobile phones, and many other devices. They pay bills, watch movies, purchase products, interact with medical professionals, use fitness apps, listen to music, and work online. "That whole drifting miasma of invisible data is spilling off you constantly and consistently, and it's happening for at least half the world's population now," said Gould during a recent DATAVERSITY phone interview.

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The advances have also fueled speculation of a wave of job losses as machines replace humans, just as the industrial revolution rendered many occupations redundant. The World Economic Forum predicted in January that by 2020, 5 million jobs could be lost to machines. Experts said when it came to the banking and finance sector, the topic needed a more nuanced approach. Speaking on a panel discussing global trends in fintech at InnovFest UnBound, a digital technology conference organized in Singapore, Avinash Hegde, co-founder of a chat bot service Supertext, explained that low-skilled finance jobs, such as basic analytics and number crunching, could soon be done by AI. "The way we interact with business and financial analysts is going to dramatically change in the next few years," he said. Would financial analysts find themselves out of a job?

ARTIFICIAL intelligence is a longstanding science fiction staple that is coming into its own. Google, Facebook, Apple and others are all developing A.I. tools. You can try out some apps today that demonstrate fledgling forms of the technology by smartly, swiftly and automatically doing tasks that would otherwise take lots of effort. The Roll, for instance, is a new intelligent app that can help organize the thousands of photos that you take with your phone. The app scans a photo library, analyzing each image and trying to spot which ones are similar.

Well I gotta tell y'all, I have a really awesome community. Even when you think IBM is down and out, they come along to redefine potentially cloud computing with the next-generation in quantum. Pretty cool coming from a tech lover. As you know it gets kind of exciting around here and I get lots of questions from readers like you. Q: …If you would kindly provide me with your honest opinion of Tradestation?

RED SAP Solutions has announced that it is working with SAP on a project that will apply Machine Learning to the recruitment process. According to RED, it will use the Machine Learning based solution to improve the service it offers to its clients, enabling them to cut time to hire and recruit the best people more quickly, and therefore reduce cost to hire. The project is already tapping into 15 years' information, and every time RED adds new requirements, processes potential matches, sends client details to candidates and make placements, it says it will continue to improve its predictions. This will improve productivity for RED, and enable the company to improve its customer service and widen its portfolio of client-centric services.

RED SAP Solutions has announced that it is working with SAP on a project that will apply Machine Learning to the recruitment process. According to RED, it will use the Machine Learning based solution to improve the service it offers to its clients, enabling them to cut time to hire and recruit the best people more quickly, and therefore reduce cost to hire. The project is already tapping into 15 years' information, and every time RED adds new requirements, processes potential matches, sends client details to candidates and make placements, it says it will continue to improve its predictions. This will improve productivity for RED, and enable the company to improve its customer service and widen its portfolio of client-centric services.

RED SAP Solutions has announced that it is working with SAP on a project that will apply Machine Learning to the recruitment process. The company states that this will transform the process of finding the right candidates, by using artificial intelligence to recommend the best match for any open position. According to RED, it will use the Machine Learning based solution to improve the service it offers to its clients, enabling them to cut time to hire and recruit the best people more quickly, and therefore reduce cost to hire. Together with the expertise and experience of RED's staff, this means its clients will be able to find the best SAP resources for their projects, anywhere in the world. Machine Learning based algorithms, together with RED's vast pool of data, will recommend on what makes a candidate right for a particular position.

A trade worth an estimated 20 billion, the beauty industry continually grows at a rate of around 3 percent annually. Unfortunately, the industry merely survives in the digital age where some industries are booming. Hence, artificial intelligence is deemed as a key to unlock the exponential growth of this industry. A rtificial intelligence could one day scan the music videos we watch to come up with predictive music discovery options based on the emotions of the performer. Which means that A.I. will soon be able to recognize Bono's sad face and serve you more mopey Bono, or perhaps something more smiley.

Google's new Tensor Processing Units are custom-built for machine learning. Yesterday at Google's I/O developers conference, CEO Sundar Pichai briefly spoke about a custom-built chip that helps give Google its edge in machine learning and artificial intelligence. The chip, dubbed a TPU or Tensor Processing Unit (in keeping with Google's A.I. platform TensorFlow), is specifically wrought for running Google's decision-making algorithms. But Pichai's speech and the accompanying blog post only reveal a few details about TPUs. About the only useful thing we know about the chip is that it's an ASIC, or application-specific integrated circuit.