Considering the high salary and growing interest in this role, specialization as an ML engineer is a great career move. The tech world is certainly where the money is for employees because it is where businesses currently struggle. The biggest companies have already shown us the power of having specialists on hand working to do the impossible. Google's investment in quantum computing has just made a huge leap, for example, and the future of tech and specialization looks bright. Big firms, rather than tech giants, are not scrambling to catch up, and by investing your time and effort to return to higher education and specialize with a Masters of Science or even a Ph.D. will pay off and provide you with a secure, lucrative, and rewarding position in your chosen field. This article does not necessarily reflect the opinions of the editors or management of EconoTimes.

Daniel Connell oversees the Market Structure and Technology practice at Greenwich Associates. Prior to Greenwich Associates, he was the CEO at Correlix, Inc., a leading provider of real-time performance optimization technology. Formerly, Dan was the Executive Managing Director at Standard & Poor's, and CEO of ComStock, Inc. He also served as the COO of Xinhua Finance Ltd., China's premier financial information, and Media Company. He has also been an executive-in-residence in the private equity industry and as a Board Member and strategy consultant to technology-focused content companies.

The mathematician Clive Humby famously said, "data is the new oil." Many in financial services agree with that assertion as they look at the mountains of data financial institutions have amassed. However, they struggle with finding ways to tap this new oil and turn it into profits. There isn't a simple process to extract data from disparate systems, refine it and develop a product for sale. Since Amazon, Netflix, Google, Apple, Facebook, and other big tech companies have successfully used data to personalize their products and drive innovation, financial institutions have focused on personalization as the main use case for data.

Andra Keay is the Managing Director of Silicon Valley Robotics, an industry group supporting innovation and commercialization of robotics technologies. Andra is also founder of Robot Launch, global robotics startup competition, cofounder of Robot Garden hackerspace, mentor at hardware accelerators, startup advisor and investor, with a strong interest in commercializing socially positive robotics and AI, shared on "The Robot State" site.

Retailers are increasingly using artificial intelligence to manage their stores and monitor shopping behavior and offer better experiences, as we discover in the second installment of Mergers & Acquistions' 7-part series, Retail Tech M&A. There are 7 technologies retailers are investing in through M&A: The Internet of Things enables enhanced personalization, such as custom drive-thru menus. Artificial intelligence applications predict customers' needs. Modern data centers and warehouses fill orders quickly. Robots assist with sorting and packing consumer goods.

In Cadwell Turnbull's sci-fi novel The Lesson, powerful aliens occupy the US Virgin Islands. Turnbull, who grew up on Saint Thomas, says he meets many people who have no idea that the Virgin Islands even exist. "When I first went to Pittsburgh for my undergrad, I would talk to people about the Virgin Islands, and a lot of people just had no idea that we were territories of the US," Turnbull says in Episode 387 of the Geek's Guide to the Galaxy podcast. "Because it's so small--the population is a couple hundred thousand people--it's easily overlooked." Turnbull first got interested in fantasy and science fiction from watching shows like Buffy the Vampire Slayer.

But sometimes we take a look back. This week, we ran an excerpt from a new book that did just that, by examining how one psychologist's tireless investigation into WWII plane crashes inadvertently created an entire new field of study, and one that contributed directly to everyone's favorite 20th century tech product: the Macintosh computer. We also wondered what would happen if the makers of this year's (good!) car film Ford v Ferrari had included a bit more gearhead porn. It's been a week: Let's get you caught up. In an interview, Uber CEO Dara Khosrowshahi likened Saudi Arabia's assasnation of Jamal Kashoggi to the decisions that lead to the death of an Arizona woman who was struck and killed by a testing self-driving Uber vehicle.

Artificial intelligence continues to evolve, altering the way organizations operate and individuals interact with a business. While this game-changing technology is increasing its dominance in today's world, it is now in high demand as businesses hunt for a competitive edge. Considering reports, demand for AI positions and skills has more than doubled over the past three years. And in India, it is gaining a rapid pace as several big techies are choosing the country for their business growth. Let's have a look at the top AI job titles with the highest pay in India in November 2019.

With the rise of cryptocurrencies around the world, there are now more ways than ever for people to invest their money. If you could accurately predict the stock market, you'd be one of the richest people on earth. As a result, there have been previous studies on how to predict the stock market using sentiment analysis. For those of you looking to build similar predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning. The data was last updated on November 10th, 2017 and the files are all in CSV format.

How can the United States Library of Congress -- one of the world's largest repositories of information -- bring its collections into the digital age? It's a question library leadership has been attempting to answer, and a collaboration between the Library of Congress and University of Nebraska–Lincoln scholars and students has laid a strong foundation for machine learning to play a role in future digital strategies. In 2018, the Digital Strategy Division of the Library of Congress released a five-year digital strategy for the library, with a goal of maximizing the value of its collections for research. As part of that strategy, the library began seeking a collaboration to test machine learning across different materials, since the library's collections are so varied. The Aida digital libraries research lab, led by Husker researchers Elizabeth Lorang, associate professor in University Libraries, and Leen-Kiat Soh, professor of computer science and engineering, were awarded a research services contract following a call for proposals from the library.