In the latest episode of Creative Intelligence, I had the pleasure of speaking with Rhonda Scharf. She is an author based between Ottawa and Fort Myers who, since 1993, has helped tens of thousands of people in dozens of countries to adapt and thrive in their work environments. Rhonda's take is refreshingly contemporized, and it was a pleasure to discuss it with her. I really wanted to drill down into the thesis behind her latest book about the impact artificial intelligence will have on the future of the workforce. Despite having the worrying title Alexa is Stealing Your Job, the underlying message is reassuring.

Arabic is spoken by more than 440 million people worldwide and is the fourth most-common language used on the Internet today. Yet the Arabic language is seriously underrepresented online. Digital content in Arabic accounts for only 1 to 3 percent of all content online, according to a paper, "Digital Arabic Content," produced by the International Telecommunication Union for a summit in 2012. A recent study by the W3Techs survey firm found that Arabic was the language of fewer than 1 percent of websites it surveyed. Kareem Darwish, a senior scientist at the Arabic Language Technologies Group at the Qatar Computing Research Institute, in Doha, is part of a team working on tools that use artificial intelligence to change that.

When we talk about artificial intelligence, we often envisage a suite of robots performing tasks, transferring labour from humans to machines. Within higher education, the AI revolution has arrived in a different, inconspicuous form – but just because we do not notice it, it doesn't mean its impact will be any less. Sebastian Distefano, worldwide higher education development manager at Adobe, stressed this point during his presentation at the session "AI-ready: building digital talent in an age of automation", which took place at THE Live 2019. A passionate advocate of digital literacy and creativity in the classroom, Adobe wants to challenge the idea that creativity will be a bridge too far for AI. "What we are reading about today is that creativity is the one skill that AI is not going to be able to master – and if it does master it, it might be the very last thing it can actually do," Mr Distefano said.

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"Today, we are presenting our ambition to shape Europe's digital future. It covers everything from cybersecurity to critical infrastructures, digital education to skills, and democracy to media. I want that digital Europe reflects the best of Europe – open, fair, diverse, democratic, and confident," says Ursula von der Leyen, President of the Commission. Ursula von der Leyen says that Europe needs to step up its efforts to create a truly digital economy and to make better use of the massive amount of data being collected. She argued that in five years, Europe alone would generate the same amount of data that is today collected worldwide.

Honeywell, a specialist in control technologies for buildings, has today launched its new cloud-based machine learning (ML) solution focused on reducing buildings' energy consumption. Honeywell says the Forge Energy Optimisation solution studies a building's energy consumption patterns and automatically adjusts to optimal energy saving settings without compromising occupant comfort levels. "Buildings aren't static steel and concrete – they're dynamic ecosystems and their energy needs fluctuate based on ever-changing variables like weather and occupancy," says Honeywell Connected Buildings vice president and general manager David Trice. "By employing the latest self-learning algorithms coupled with autonomous control, we can help drive efficiencies and create more sustainable practices." The Forge Energy Optimisation solution autonomously optimises a building's internal set points every 15 minutes to evaluate whether a building's heating, ventilation and air conditioning (HVAC) system is running at peak efficiency, according to Honeywell.

A new segment of the annual Datacloud Global Congress taking place in Monaco 2-4 June, has been announced. Towards the Machine Edge – AI and ML in the Datacenter will include a new session focused on the critical importance of AI infrastructure deployment in facilities in key markets. The segment is supported by an "AI Hub" on the Exhibition floor at the event. With analytics transforming enterprise competitive advantage, and the critical need to maximize data potential, AI is being deployed in datacenters to manage IT workload distribution responsibilities, reduce the energy used for cooling, autonomously perform routine tasks including server optimization and analyze incoming and outgoing data for security threats. AI will become a strong differentiator in the delivery of datacenter services.

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On conference stages and at campaign rallies, tech executives and politicians warn of a looming automation crisis -- one where workers are gradually, then all at once, replaced by intelligent machines. But their warnings mask the fact that an automation crisis has already arrived. The robots are here, they're working in management, and they're grinding workers into the ground. The robots are watching over hotel housekeepers, telling them which room to clean and tracking how quickly they do it. They're managing software developers, monitoring their clicks and scrolls and docking their pay if they work too slowly. They're listening to call center workers, telling them what to say, how to say it, and keeping them constantly, maximally busy. While we've been watching the horizon for the self-driving trucks, perpetually five years away, the robots arrived in the form of the supervisor, the foreman, the middle manager. These automated systems can detect inefficiencies that a human manager never would -- a moment's downtime between calls, a habit of lingering at the coffee machine after finishing a task, a new route that, if all goes perfectly, could get a few more packages delivered in a day. But for workers, what look like inefficiencies to an algorithm were their last reserves of respite and autonomy, and as these little breaks and minor freedoms get optimized out, their jobs are becoming more intense, stressful, and dangerous. Over the last several months, I've spoken with more than 20 workers in six countries. For many of them, their greatest fear isn't that robots might come for their jobs: it's that robots have already become their boss. In few sectors are the perils of automated management more apparent than at Amazon.