In this lesson, we’ll look at business English vocabulary related to artificial intelligence or AI.
AI includes machine learning, which may rely on neural nets for deep learning and use complex algorithms. AI also includes autonomous applications and machines such as bots, which use natural language processing for interaction.
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In this lesson, we’ll look at business English vocabulary related to agile project management and the scrum framework of product development.
Scrum involves working in sprints, or short cycles, to develop a product rapidly. Key roles in scrum include the scrum master along with the product owner, as well as product teams, which create the product by working through the sprint backlog.
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Throughout the course of history, society has often been hesitant to accept widespread change. A day doesn’t pass without a new technological advance being reported. This has led many to worry about the effects of artificial intelligence, or AI, on our daily lives.
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If you’re a fan of technology, you’ve likely come across the term Internet of Things, or IoT. It’s the connection of everyday devices to the Internet and has already started to change the way we interact with each other and the online world, and as Business Insider explains, it’s just getting started.
The Internet of Things has been labeled as “the next Industrial Revolution” because of the way it will change the way people live, work, entertain, and travel, as well as how governments and businesses interact with the world. In fact, the revolution has already started.
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Originally named for their rarity, technology “unicorns” are now as common as cats and dogs. As the number of companies hitting the $1bn valuation mark that defines a unicorn skyrockets, it’s easy for investors to be giddy with excitement. But, as City AM points out, these magical creatures may be too good to be true:
The so-called “unicorns” are being targeted by traders betting their share prices will fall. Named because of their mythical, elusive status, the number of unicorns running around has been enough to garner speculation that many of these firms are overvalued.
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