In the classroom of the future--if there still are any--it's easy to imagine the endpoint of an arms race: an artificial intelligence that generates the day's lessons and prompts, a student-deployed A.I. that will surreptitiously do the assignment, and finally, a third-party A.I. that will determine if any of the pupils actually did the work with their own fingers and brain. Loop complete; no humans needed. If you were to take all the hype about ChatGPT at face value, this might feel inevitable. But a response to the hit software demo, released by OpenAI in November to instant fanfare, is coming. You only have to look at how schools dealt with the potential externalities of newly essential tech during the pandemic to see how a similarly paranoid reaction to chatbots like ChatGPT could go--and how it shouldn't. When schools had to shift on the fly to remote learning three years ago, there was a massive turn to what at that point was mainly enterprise software: Zoom.

Artificial intelligence (AI) has long been the preserve of science fiction narratives involving sentient machines and killer automatons. But for many years now, the term has been a major part of the technologists' lexicon. Everywhere you look, applications, games, services, transportation, cybersecurity and even consumer goods are leveraging the power of AI. It's become shorthand for automating systems that perform laborious tasks – often creatively – beyond the power of mere mortals. "I think artificial intelligence is a misnomer to a certain extent," argues Martine Bertrand, Senior AI Researcher at DNEG Montreal. "The reason why there's so much hype around these technologies is because, for most of us, we get convinced this is artificial intelligence in the form of a super-smart robot or a brain living in a cloud, that can suddenly do magical stuff.

The waste was one thing. A large manufacturer was keen to reduce spend on warranty costs and pricing claims--with claim audits a dauntingly manual process. But more importantly, the company knew that critical insights around quality and safety were buried within those claims. But how to find them? Our client knew a better way was possible--but where to start?

Artificial intelligence and machine learning will automate many business and life tasks, from driving trucks to piloting ships to handling customer calls -- and actually carrying on rudimentary chats with them. What's not discussed often enough, however, is the actually impact on the jobs of AI creators and administrators themselves -- developers, analysts, and data administrators and everyone else in the information technology orbit charged with building out these revolutionary systems. In essence, AI will play a role in helping to smooth out the rough spots of AI development. IT and data professionals have much to gain from the AI revolution. I recently had the chance to explore some of the possibilities with leading industry observers, who see the roles of IT managers and professionals being elevated to greater business responsibilities as a result of being relieved much of the grunt work of AI.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Like most 12-year-old boys, Mitchell Hashimoto played a lot of videogames. But he never liked the repetitive parts of games like Neopets, where players feed and care for virtual animals. "I used a lot of bot software that other people wrote to play the more mundane parts for me, so I could do the fun stuff," he says. Those bots were often blocked by gamemakers, so Hashimoto taught himself to program and created his own bot. When the creators of Neopets ordered him to stop using that bot, he was done with the game.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Artificial intelligence technology has been developed to help piglets survive their first months - and then to decide which sows to kill. The scheme is being rolled out in China, the world's biggest producer and consumer of pork. It marks the latest deployment of tech giant Alibaba's ET Brain cloud computing service. China's pig industry is notoriously inefficient, but one expert said the tech could also prove useful elsewhere. For now, the trial is limited to the country's Sichuan province. Alibaba teamed up with local feed provider Sichuan Tequ and the farming group Dekon to develop the solution.

Deloitte has what it calls an "apprenticeship model." The international auditing and professional services firm hires thousands of entry level employees with the expectation that most of them will work hard, then leave after they've learned marketable skills. The organization--like many companies--looks like a pyramid, with many more employees at the bottom level than at the middle or top level. That structure makes sense when there's a lot of grunt work to do. In the process of auditing a company, for instance, Deloitte employees used to pick up to 100 contracts to review manually.