"We employ a lot more people today than we did 10 years ago when people were taking calls and orders on the phone," he said in an interview with TheStreet. "Technology ultimately drives efficiency, it drives a better experience for the customer. If you do that, the business grows and it ultimately grows employment." Domino's employs some 14,100 people, as of January 1, 2017. About 60% of Domino's sales comes from digital.

I wanted to call this article "Parasitic Labeling of AI Training Data," but apparently that's too complicated. What I want to tell you about is an often neglected aspect of machine learning: data labeling. Supervised machine learning with deep neural networks, is the most common kind of AI out there. Supervised learning means learning from labeled data. But often you don't have labeled data.

It's not that James Williams, a doctoral candidate at the Oxford Internet Institute's Digital Ethics Lab (motto: "Every Bit as Good"), had a "God, what I have I done?" moment during his time at Google. But it did occur to him that something had gone awry. Williams joined Google's Seattle office when it opened in 2006 and went on to win the company's highest honor, the Founder's Award, for his work developing advertising products and tools. Then, in 2012, he realized that these tools were actually making things harder for him. Modern technology platforms, he explained to me, were "reimposing these pre-Internet notions of advertising, where it's all about getting as much of people's time and attention as you can." By 2011, he had followed his literary and politico-philosophical bent (he is a fan of George Orwell's 1984 and Aldous Huxley's Brave New World) to Oxford, while still working at Google's London office.

The digital transformation that is building speed with brands and agencies alike will increasingly be powered by more nimble use of data derived from IOT connections, then filtered through AI's machine learning by executives that have the merged mindset of a CMO and a CIO. And while that mouthful of reality hasn't been fully digested by the brand maketing ecosystem, Jordan Bitterman, CMO of IBM's The Weather Company, sees it close at hand thanks to the connected appliances and products around us. "AI can't be anything without data. So often we think of IOT as being Fitbits and Apple Watches and while that's true, there is a whole host of data that most of us in the advertising space haven't considered" including from elevators, airplanes dishwashers and cars, Bitterman explained during an interview with Adweek at Dmexco 2017 in Cologne, Germany. "All that data can play a role in an AI solution so they're totally linked," he added.

In the past, the terms business analyst and data scientist have sometimes been used interchangeably, and indeed, in a small company, the lines between the two sorts of jobs may blur. But as more and more companies look to big data for business insights, they are shifting from relying on business analysts to predict what the future of a business might look like, and moving towards using data scientists and machine learning to interpret data and predict trends. What's the difference, you might ask? While the end result of these two jobs is often similar, a business analyst and a data scientist use different tools to get there. In general, data scientists have much greater technical expertise, especially in computer programming, systems engineering, and statistics.

Welcome to the second instalment of'Automate This!,' a Day 6 series about the future of work in an artificially intelligent world. In 2011, Krista Jones was diagnosed with a rare form of cancer. The next five years were a blur of doctor's visits and operations. "I think I saw seven doctors over that time period," Jones recalls. I was heading towards a double mastectomy, mostly out of fear for the fact that nobody could explain why [the tumours] were reoccurring." Jones' final treatment plan was built using algorithms and big data -- some of the precursors to today's A.I. technology. That plan made it possible for Jones to forgo a painful double mastectomy, and ultimately left her cancer-free. "Not only did it save my life but it left me whole in so many different ways," she says. "[It] avoided some of the scars, emotionally and physically, that most people who go through cancer treatment are left with." The treatment plan that helped Krista Jones beat a rare form of cancer was developed using machine learning algorithms and big data. She's seen the downsides of machine learning technologies, too. Her own son was forced to rethink his plan to become a radiologist after watching his career prospects dwindle thanks to automation. Still, Jones is convinced that artificial intelligence is the future of health care. "I think what we need to do is harness the good while regulating the bad," she says, "such that we don't get hung up and stop the development of life-saving treatments." "The only next step is now replacing those actual physical physicists and doctors that actually say: 'Yes, this is the right treatment plan'.

Nothing reveals as much about a society, and its future, as its high schools. Yet amid accelerating change -- widening inequality, unprecedented globalization and technological advances -- they've woefully lagged behind. There are, of course, exceptions. Follow OZY's special series High School, Disrupted to find out about the global leaders, cutting-edge trends and big ideas reimagining secondary education -- for the better. From Siri handling our schedules to smart cars driving themselves, artificial intelligence (AI) has turned our world upside down -- except in education.

What's happening now: Myanmar's government launched its latest surge of violence against the Rohingya last October after alleged attacks by Rohingya insurgents against government posts. A report from the United Nation's Office of the High Commissioner on Human Rights calls the crackdown "systematic" and "very likely" including crimes against humanity, branding the government's work as "ethnic cleansing." The political controversy: Aung San Suu Kyi, who was imprisoned for nearly two decades after calling for democracy and human rights under the country's oppressive military junta, has refused to speak out against the violence as Myanmar's de-facto leader. Five other women who have won the Nobel Peace Prize called on Suu Kyi to acknowledge the violence in an open letter -- though the Nobel Committee remains exceedingly unlikely to revoke her prize, per the NYT.

Nintendo went all out this week showcasing a slew of high-profile games heading to the Switch, 3DS and 2DS -- titles like Doom, Wolfenstein II and Pokemon Gold. But, just last month, Nintendo was all about indie love. That's when the company and renowned ultra-violent game director Goichi "Suda51" Suda revealed Travis Strikes Again, the third title in the No More Heroes series. And, this time around, he's brought 15 indie video game creators along for the ride. Suda51's studio, Grasshopper Manufacture, debuted No More Heroes on the Wii in 2008 as a pop-culture-infused, cel-shaded, hack-and-slash adventure game starring Travis Touchdown, an anime-obsessed assassin with a lot of sass.

In a prior article, we talked about IoT being the connection of the physical and the digital worlds. That is, connecting those things that were physical in nature hitherto and now find a need to be connected to the digital world. This phenomenon about things/objects/entities is also influencing the enterprises in how they are transforming and shaping themselves to survive and thrive in the fast evolving world. The enterprises across consumer, commercial, public, and industrial sectors that were born in the pre-Internet era (Honeywell, ABB, GE, Philips, Siemens, and so on) are making moves to position themselves as digitally transformed companies. More subtle are the moves being made by the Internet era companies (Google, Amazon, etc.) to integrate themselves with the physical world.