If your mind instantly went to Skynet, I can put your mind at ease; it's not Skynet. That's not, however, to say that this problem isn't just as scary, only without the cool special effects. While Sci-Fi has made the risks of robot takeover well-known, the more immediate concerns are the subtle decisions being made by (sometimes) poorly coded, or designed, algorithms that can drastically alter each of our lives. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May. The Obama administration published a report this week that examines problems associated with the shift to an increasingly automated world.

When will the technology arrive that makes you obsolete in your current job? It's no idle question, and one that none other than Microsoft CEO Satya Nadella took up this week in remarks to hundreds of Seattle technology and business leaders. We'll explore his comments, a new offering from Textio, the media's failures in covering the presidential primaries; have some fun with drones, Star Wars, Disney's Frozen, and STEM education; and wash it down with a cold home brew in this edition of Xconomy Seattle's Week in Review: He shared his view of Microsoft's unique culture, and how that gives the company an advantage. One aspect is Microsoft's global mindset, which Nadella, born in Hyderabad, India, talked about in a personal way. "I wouldn't be CEO of Microsoft if it was not for Microsoft's technology being a global force," Nadella said.

Concerns have been raised about the scope of a data-sharing agreement between Google-owned DeepMind and the UK's National Health Service (NHS) after it was revealed the agreement covers access to all patient data from the three London hospitals involved, rather than a more targeted subset of data relating to the specific medical condition the healthcare app in question (Streams) is focused on. Back in February DeepMind announced a collaboration with the NHS to build an app for clinicians treating kidney disease. The company also acquired an existing early stage clinical task management app, called Hark, built by a team from Imperial College London -- evidently with the intention of building on that base tech, but giving it a more specific medical focus in the first instance. The Streams app aims to streamline alerts and access to patient data for doctors and nurses working in the front-line of medical care. But it is not a general medical data alerts or messaging platform.

At this time, all participants are in a listen-only mode. A question-and-answer session will follow the formal presentation. I would now like to turn the conference over to your host, Jandy Tomy, Vice President of Finance and Investor Relations. With me today on the call are Robert Apatoff, President and Chief Executive Officer; and Becky Sheehan, Executive Vice President and Chief Financial Officer. Before we begin, please remember that, during the course of this call, management may make forward-looking statements within the meaning of the Federal Securities Laws that address the Company's expected future business, financial performance, and financial condition. These forward-looking statements involve risks and uncertainties that could cause actual results to be materially different than those expressed in our forward-looking statements. In addition to the Company's reports filed with the Securities and Exchange Commission, please refer to the text in the Company's press release issued today for a discussion of the risks and uncertainties associated with such forward-looking statements. Also, please note that, on today's call, management will refer to certain non-GAAP financial measures, including adjusted EBITDA, adjusted net income, and free cash flow. The Company believes these non-GAAP financial measures provide useful information for investors. Please refer to today's press release for definitions and calculations of these non-GAAP performance measures, as well as reconciliations of the non-GAAP performance measures to the Company's GAAP financial results. Now, I'd like to turn the call over to Robert Apatoff, President and Chief Executive Officer. Good afternoon, everyone, and thank you for joining us today. I will provide a brief overview of our business highlights, integration efforts, and strategic and operating initiatives. Following my comments, our CFO Becky Sheehan will review our financial results and outlook for 2016 in more detail. Finally, I will provide a few closing remarks, and then we'll open up the call to take your questions.

There's huge progress in AI, or at least huge interest in AI--a bigger interest than there's ever been in my lifetime. I've been interested in AI since I was a little kid trying to program computers to play chess, and do natural language databases, and things like that, though not very well. I've watched the field and there have been ups and downs. There were a couple of AI winters where people stopped paying attention to AI altogether. People who were doing AI stopped saying that they were in the field of AI. They say, "Yes, I do artificial intelligence," where two years ago they would have said, "I do statistics." Even though there's a lot of hype about AI and a lot of money being invested in AI, I feel like the field is headed in the wrong direction. There's been a local maximum where there's a lot of low-hanging fruit right now in a particular direction, which is mainly deep learning and big data. People are very excited about the big data and what it's giving them right now, but I'm not sure it's taking us closer to the deeper questions in artificial intelligence, like how we understand language or how we reason about the world. The big data paradigm is great in certain scenarios. One of the most impressive advances is in speech recognition. You can now dictate into your phone and it will transcribe most of what you say right most of the time. That doesn't mean it understands what you're saying. Each new update of Siri adds a new feature. First, you could ask about movie times, then sports, and so forth. The natural language understanding is coming along slowly. You wouldn't be able to dictate this conversation into Siri and expect it to come out with anything whatsoever. But you could get most of the words right, and that's a big improvement. It turns out that it works best with a lot of brute force data available. When you're doing speech recognition on white males, who are native language speakers, in a quiet room, it works pretty well.

The White House is planning to hold four public workshops this summer to develop plans and spur dialog about the federal government's use of artificial intelligence technologies. In a White House blog post announcing the workshops earlier this week, Deputy U.S. Chief Technology Officer Ed Felten described some of the potential use cases for AI in government, as well as some of the challenges. "In education, AI has the potential to help teachers customize instruction for each student's needs. And, of course, AI plays a key role in self-driving vehicles, which have the potential to save thousands of lives, as well as in unmanned aircraft systems, which may transform global transportation, logistics systems and countless industries over the coming decades," Felten wrote. The four planned workshops have partnerships with academic and non-profit organizations, and the discussions will feed into the development of a public report later this year, according to the blog.

While many video games are pushing their stories toward the future, the classic franchise Battlefield is stepping back to revisit the past. Publisher Electronic Arts announced Battlefield 1, the latest chapter in the military action series that will take players to the battlefields of World War I. It launches October 21 for PC, PlayStation 4 and Xbox One. The game will take place across multiple locations around the world, including France, the Italian Alps and the deserts of Arabia. Battlefield 1's story kicks off right around the start of World War I, as players "witness the birth of modern warfare."

SpaceX has successfully landed a rocket on a floating platform in the Atlantic Ocean, for the second month in a row, following a Japanese satellite mission. The unmanned SpaceX rocket blasted off from Florida early this morning to put the communications satellite into orbit, with the launch vehicle's main-stage booster completing a quick return landing on the floating platform. Due to the high altitude of the mission, SpaceX did not expect a successful landing, but the Falcon 9 rocket touched down on the drone platform - nicknamed Of Course I Still Love You - just over eight minutes after launching. SpaceX has successfully landed a rocket on a floating platform in the Atlantic Ocean after a delivering a Japanese satellite into orbit early this morning, and is the second rocket to successfully land in the space of a month. A company webcast showed the 23-story-tall rocketsoaring off a seaside launch pad at Cape Canaveral Air ForceStation at 1:21 am EDT (06:21 BST).

Online translators are getting better, but there's still room for improvement. Researchers are now contributing new artificial intelligence techniques that could help accurately build full sentences. Algorithms developed by researchers at the University of Liverpool give computers a human-like touch while translating words and languages. They believe their methods are key to improving accuracy. Using the algorithms, a computer will be able to translate a word from an unknown language, and then provide context to it.

As the field of artificial intelligence advances, the White House Office of Science and Technology Policy is launching a series of public workshops about artificial intelligence and machine learning. All are open to the public. OSTP is also creating an interagency working group to explore how that "transformative technology" can benefit education, transportation, industry and other fields. "There are tremendous opportunities and an array of considerations across the federal government in privacy, security, regulation, law, and research and development to be taken into account when effectively integrating this technology into both government and private-sector activities," Deputy U.S. CTO Ed Felten wrote in a May 3 blog post. The National Science and Technology Council's new Subcommittee on Machine Learning and Artificial Intelligence will meet for the first time the week of May 9.