Collaborating Authors


Are You Ready to Profit from the AI Revolution?


Over the past several years, many of Wall Street's hottest stocks came from the world of technology. Household names such as Netflix, Amazon and Facebook emerged as top performers and helped send broader markets higher. However, where these stocks once promised ludicrous growth now stands increased competition and industry maturity. The trends of yesterday -- including video streaming, e-commerce and social media -- remain promising, but they are no longer the upstart segments they once were. But investors looking for the next high-growth opportunity may look no further than a brand-new trend that has the chance to expand exponentially over the coming years.

GOOGL Stock Price Flat At Close, Down After Hours As Google Posts Q4 Earnings

International Business Times

Google shares were roughly flat when the market closed on Thursday after Alphabet posted earnings less than what Wall Street expected. The after hours GOOGL stock price, however, did take an initial dive before rallying toward its $1,181.50

The $1tn question: how far can the new iPhone 8 take Apple?

The Guardian

Apple's stock market value is heading towards a new milestone and its latest product launch on 12 September could push the tech giant closer to becoming the first ever $1tn (£760bn) company. At the end of last week, the company's market capitalisation hovered around $830bn, continuing a 10-year run that has generally headed upwards since a low of $69bn in January 2009, during the financial crisis. Tuesday's event, with the iPhone 8 the star attraction, will strive to meet investors' – and customers' – vaulting expectations. But what will Apple tempt users with to justify Wall Street's faith in its future profits? An Apple spokesman declined to discuss what will be revealed at the event in the company's $5bn, spaceship-shaped Cupertino headquarters.

What is machine learning debt?


For a practical guide to integrate and test machine learning algorithms, check out Matthew Kirk's Thoughtful Machine Learning with Python. We truly live in an exceptional point in history. The ability to ask your TV to queue up the next episode of Game of Thrones, or to have it "learn" what you like to watch, and then suggest new options, is staggering. For years, companies have latched on to the trend of utilizing machine learning algorithms for great effect, whether it's trading on Wall Street or recognizing cat images. But there's a catch: there are many problems associated with shipping machine learning code.

California Inc.: Looking for a tech job? L.A. is the place to be

Los Angeles Times

Welcome to California Inc., the weekly newsletter of the L.A. Times Business Section. California ended the year adding just 3,700 jobs in December, according to a jobs report released Friday, but that modest gain inched the unemployment rate down to 5.2%, what one economist called a reflection of a state "firing on all cylinders." That news was overshadowed by the inauguration of President Donald Trump, whose first speech as commander in chief helped the market snap a five-day losing streak. Still, Wall Street was holding its collective breath over what would come next. Oscar time: Nominations for the 89th Academy Awards will be announced Tuesday, kicking of a month of campaigning by the studios.

Can Artificial Intelligence Prevent the Next Financial Crash?


The subprime financial crisis revealed that our data is only as good as our ability to analyze and understand it. AI will be necessary to helping prevent the next crisis before it happens. In his new film "The Big Short," based on the book by Michael Lewis, Adam McKay attempts the difficult task of explaining exactly how the credit and subprime housing bubble led to the 2008 worldwide economic crash. One of McKay's main points in outlining how Michael Burry, and a handful of other Wall Street outsiders, were able to predict the impending crisis is that they simply investigated the underlying data. As Ryan Gosling's character narrates in the film: "A few did what the rest never thought to do… they looked."