Regardless of the media's incessant worship of the new "Zucks", and the President's desire for "every kid to code", there is something to be said for an individual that views themselves and their efforts as a part of the bigger picture. Striving for knowledge brought me beyond the horizons of discernible. Herzlichen Dank! to my publisher BIZCATALYST 360, so big-heartedly edited by Mr. Dennis J. Pitocco, who, I believe is turning undiscovered talents into international success stories. And by that I mean people who want to read … Herzlichen Dank und viele Grüße to all my readers worldwide! The word'unprecedented' seems too weak to convey just how much the dimensionless operational space of digital (r)evolution requires instantaneous reaction.

"AI is the new electricity" If you're a machine learning and ai enthusiast, you definitely must know this guy. He is best known for his machine learning course on coursera which, for many, has been the first step in understanding artificial intelligence(read my blog about it here). Andrew has been teaching at stanford ever since he got his Phd in 2002. He founded and led the google brain team which is considered as one of the most progressive ML/AI research organisations in the world. He also founded the popular massive open online course (MOOC) site coursera, which now has over a thousand courses taught by ivy league professors.

That terminator is out there. It can't be bargained with. It can't be reasoned with. It doesn't feel pity, or remorse, or fear. And it absolutely will not stop, ever, until you are dead." Hollywood has been speculating on the subject via the big screen for decades. Indeed one of its most famous seemingly prophetic films opened some 34 years ago as a near-indestructible humanoid cyborg returned from 2029 to assassinate a waitress, whose unborn son would lead humanity in a war against the machines. A sculpture of Terminator seen during the temporary exhibition called'Gallery of Steel Figures' at the Museum of Municipal Engineering in Krakow. The exhibition of Steel Figures is inspired by the study of Madame Tussauds Wax Museum in London. The exhibition of Steel Figures is inspired by the study of Madame Tussauds Wax Museum in London. And though the ramifications of the unknown to our pre-computerized world scared us a bit at the time, we've found that The Information Age and shift from the Industrial Revolution has been far more beneficial than destructive. One company born of the digital or computer age is using artificial intelligence (AI) and deep learning for drug discovery, biomarker development and aging research, and its founder couldn't be more hopeful. Insilico Medicine is a Baltimore-based company focusing on next-generation AI and blockchain technologies for drug discovery, biomarker development and aging research. Through bioinformatics (using computer science to understand biological processes), research and development offices in six countries around the globe, 49 employees and more than $12 million in venture funding, Insilico and Founder and CEO Dr. Alex Zhavoronkov aspire to extend healthy longevity through innovative AI solutions for drug discovery, aging research and preventing and/or curing disease. Zhavoronkov said the company's value is mainly in its intellectual property or the molecules Insilico is creating that could eventually be sold for billions of dollars. "We are a sizable player in AI--one of the top 100 AI companies in the world," he said. But as with most ideas that change the world--think Steve Wozniak, Steve Jobs and Apple Computers--profits are rarely the focus. Zhavoronkov said his founding Insilico was a "calculated decision" based on "basic mathematics." Consider the quality-adjusted life year. The QALY, as it's referred to by scientists, is a generic measure of disease burden, including both the quality and the quantity of life lived. The QALY is used in economic evaluation to determine the value for money of medical interventions, thus one QALY equates to one year in perfect health. The US National Library of Medicine and the National Institutes of Health says the QALY calculation is simple: "the change in utility value induced by the treatment is multiplied by the duration of the treatment effect to provide the number of QALYs gained.

This short, high energy intro video was included in Tamara McCleary's presentation on AI & Machine Learning at SAP Leonardo Live in Frankfurt, Germany on July 11, 2017

Whether financial institutions are looking for improved customer service, risk management, fraud prevention, investment prediction or cybersecurity, the scopes of machine learning and artificial intelligence are limitless. In the modern era of the digital economy, technological advancements are no longer a luxury for the organizations, but a necessity to outsmart their competitors and business growth. With the technological advancements in the recent times, the impact of Machine Learning (ML) and Artificial Intelligence (AI) are very critical than ever before. Previously, we discussed the scopes of big data and data science in banking and financial services. In this article will explain in detail about ML and AI, and their scopes in banking and financial services. Apparently, in order to be successful and making an impact, the banks and financial institutions need to make machine learning and artificial intelligence an expansion of their big data and data analytics approach.

According to the latest market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025, at a CAGR of 36.62% between 2018 and 2025. Major drivers for the market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts. Browse 67 tables and 48 figures spread through 205 pages and in-depth TOC on "Artificial Intelligence Market - Global Forecast to 2025" The market for services is expected to grow at the highest CAGR between 2018 and 2025. The adoption of AI is rapidly increasing in various applications.

As the work progresses the content of this online service will be modified and expanded.

We've all had bad customer service. And our expectations as consumers are changing dramatically. Think about it: it's no longer about just browsing on the high street. We make impulse buys on our phones, we check out deals on Instagram and we expect sales associates to guess our preferences and interests based on what we've already bought online. As we increasingly look forward to a tailored shopping experience – whether it's in-store, online, on a mobile device or via the phone – retailers need to figure out a way to communicate effectively with us in this multi-channel era. To offer a VIP treatment at every touch point, many companies are turning to technology to help deliver personalized experiences and free up sales associates from monotonous tasks, allowing them to focus more time on delighting customers.

The company's first foray into smart tech adds Amazon's Alexa to a great wireless speaker to create a formidable combo Thu 15 Feb 2018 02.00 EST Last modified on Thu 15 Feb 2018 02.02 EST Having practically invented the multi-room wireless speaker category in 2005, Sonos has lagged behind in the race to become smart. Now the Sonos One is here, packing Alexa in the top and premium audio in the bottom. The Sonos One is very deliberately designed to look, feel and sound like the company's successful Play: 1 – a compact wireless speaker launched in 2013 at about £150 that was arguably the best for the money for years. Side-by-side they look identical apart from the top of the speaker, which is flat on the One, perforated by holes for the microphones that enable the voice assistant to hear you. The 161mm tall cuboid with rounded corners is available in black or white and is designed like a traditional bookshelf speaker.

Annual worldwide AI revenue is projected to grow from $644 million in 2016 to $37 billion by 2025, with top use cases including algorithmic trading strategy performance improvement; static image recognition, classification, and tagging; efficient, scalable processing of patient data; predictive maintenance; content distribution on social media; and more. The financial services industry is no stranger to machine learning – a number of large institutions continue to successfully implement the technology across such areas as risk analytics and regulation, customer segmentation, cross-selling and upselling, sales and marketing campaign management, creditworthiness evaluation. Among institutions that are applying machine learning are BBVA, JPMorgan Chase, HSBC, OCBC, and many more. "Credit applications and underwriting are the key areas where machine learning, and data analytics in general, will have an initial impact. The outcomes will include cost reductions, increased efficiency, and less onerous customer experiences," experts suggest.