The Spain-headquartered startup, which today is announcing $6 million in Series A funding, is using deep learning to help startups and larger companies recruit developers. Specifically, its AI tech is analysing the code of millions of developers via their open source contributions in order to match them to appropriate job openings. "We use this analysis to understand how good they are at any given language and framework and match them with companies looking for developers," is how Source{d} co-founder and COO Jorge Schnura explains it. He also says it isn't just about identifying code quality or a developer's ability, but also coding style and other nuances that differentiates one developer from another. "We can [find] people who are similar to your team," adds Schnura. "This is all unsupervised learning since we don't tell our algorithms which features to look for, it defines them itself".

Greetings and welcome to the PROS Holdings Inc Third Quarter 2016 Earnings Call. At this time, all participants are in a listen-only mode. A brief question-and-answer session will follow the formal presentation. It is now my please to introduce your host Stefan Schulz, Chief Financial Officer. Good afternoon, everyone and thank you for joining us. With me on today's call is Andres Reiner, President and Chief Executive Officer. Before we begin, we must caution you that some of today's remarks, including our guidance, our strategy, our competitive position, future business prospects, revenue, bookings, market opportunities, as well as statements made during the question-and-answer session, contain forward-looking statements. These statements are based on present information and are subject to numerous and important factors, risks and uncertainties, which could cause actual results to differ materially from the results implied by these or other forward-looking statements. PROS does not assume any obligation to update the forward-looking statements provided to reflect events that occur, or circumstances that exist, after the date on which they are made. Additional information concerning risks and other factors that may cause actual results to differ can be found in the Company's filings with the SEC. Also, please note that a replay of today's webcast will be available in the Investor Relations section of our website at pros.com. We encourage everyone to review this additional information. Finally, I would like to point out that in addition to reporting financial results in accordance with Generally Accepted Accounting Principles, or GAAP, PROS reports certain financial results, as well as forward-looking guidance, on a non-GAAP basis. A reconciliation of each non-GAAP measure to the most directly comparable GAAP measure, to the extent available without unreasonable efforts is available on the press release distributed earlier today, and in the Investor Relations section of our website. Good afternoon, everyone and thank you for joining us on today's call.

Even if self-driving cars aren't part of our daily lives yet, vehicles are becoming internet-connected at a rapid pace. Gartner predicts that one fifth of all autos on the road, and great majority of new vehicles being produced worldwide will have wireless network connectivity by 2020. Yet, few organizations have access to use the data generated by these vehicles today. That's where Otonomo, a startup based in Herzliya, Israel comes in. The company's systems gather up driver and vehicle data from disparate automakers and original equipment manufacturers.

Israeli artificial intelligence startup Voyager Labs has emerged from stealth mode with customers, use cases, and $100 million in funding. Voyager Labs has raised the funds from prominent investors including Sir Ronald Cohen, Lloyd Dorfman, OCAPAC Holding Company, and Horizons Ventures to help finance the company's next generation solutions for the financial and e-commerce markets. The company has 90 employees at its R&D center in Hod Hasharon and offices in New York, Washington and London. Founded in 2012, Voyager Labs has developed an artificial intelligence engine that combines expert systems with deep-learning algorithms and is capable of extracting dynamic, real-time, and tailored insights into human behavior by analyzing massive amounts of publicly available unstructured data. Voyager Labs was founded by CEO Avi Korenblum, who served in the Israeli intelligence community for 20 years.

Apple revealed its fourth quarter financial results during a conference call with investors on Tuesday, but perhaps the most interesting narrative -- aside from the company's first annual revenue decline since 2001 -- was the tech giants avowed focus on machine learning. "Today, machine learning drives improvement in countless features across our products," Apple CEO Tim Cook boasted during his initial remarks. Cook then offered a state of machine learning at Apple, by running down areas where machine learning is already helping to improve the iPhone user experience, noting that machine learning "enables the proactive features in iOS 10, and that cameras employ it in face recognizing software. Machine learning is also a key aspect of Apple's fitness offerings. "Machine learning continually helps Siri get smarter in areas, including understanding natural language," Cook added.

Jefferson Graham reports on the new, higher price-tags for Apple computers, and compares them to Windows and Chromebook competitors on #TalkingTech. SAN FRANCISCO -- A funny thing happened when Microsoft and Apple held dueling product events last week. In Cupertino, Calif., the iPhone maker was making a small tweak to the way we work today with the unveiling of a slim interactive function bar to its MacBooks. In New York, the onetime software giant was unveiling tools for the way we will work that included a massive interactive drafting table and 3-D design software. But evidence is mounting that the software giant, a foil to Apple for decades, is now the more compelling, innovative company with forays into virtual reality and artificial intelligence.

The new MacBook Pro was always going to be expensive. But it is very expensive indeed in the UK, after the prices were shifted because of the falling pound. The computers are as much as £500 more expensive than previous models, because of a combination of the currency changes and the upgrades introduced by Apple. Buying the cheapest version of the MacBook Pro with Touch Bar that was released yesterday will cost customers £1,749. Customers can spend as much as £2,699 on stock models of the computer, if they buy the 15-inch version.

Before we dive into the data behind Alphabet's forward-looking strategy, we must quickly assess its most mature and most profitable (by far) business line: Google search and advertising. As a reminder, Google now consists of search, mapping, cloud & enterprise, Google-branded consumer hardware and operating systems (Chrome, Android, etc.), and YouTube. All other units, from investment vehicles (GV, Google Capital) to the X arm, are now subsidiaries reporting directly to Alphabet management. We will use the Google moniker when discussing either the company proper or historical pre-Alphabet activities under its banner. The company outperformed analyst expectations in Q2'16 with surging top- and bottom-line growth.

Baidu has released its third-quarter financial results, announcing an operating profit of 2.787 billion yuan, up 11 percent year on year. The Chinese search engine giant reported total revenue of 18.253 billion yuan for the third quarter of 2016, with online marketing revenues decreasing by 6.7 percent over last year to come in at 16.49 billion yuan. "We saw further improvements in customer quality in the third quarter as we continued to implement stricter standards for online marketers," Robin Li, Baidu chairman and CEO, said. "During the quarter, the growing popularity of our news feed product helped drive user stickiness in search and across the Baidu content ecosystem. We look forward to further innovating through initiatives such as our digital assistant Duer and autonomous cars, and to bringing new AI-based applications to market."

Google parent Alphabet (Xetra: ABEA.DE - news) delivered higher profits for the third quarter, lifted by gains in mobile and video advertising as the tech giant narrowed losses on its "moon shots." Net (LSE: 0LN0.L - news) profit climbed 27 percent to $5.1 billion. Revenue rose to $22.5 billion from $18.7 billion in the same period a year earlier. Shares (Berlin: DI6.BE - news) rose nearly one percent in after-market trades that followed the release of the stronger-than-expected earnings figures. "We had a great third quarter," Alphabet chief financial officer Ruth Porat said in the earnings release.