Post by account_disabled on Jan 11, 2024 17:04:34 GMT 10
You don't have to look far to find statistics and predictions about the future impact of artificial intelligence (AI). But while autonomous vehicles and augmented reality headsets have excited consumers, company headlines have focused more on the risk they pose to workers. Analyst giant Forrester has claimed that 16% of US jobs will be lost due to artificial intelligence by 2025. Meanwhile, a recent PwC report indicated 30% of UK jobs were threatened by advances in AI , putting 10 million British workers at risk of being 'replaced by robots' in the next 15 years. Of course, we shouldn't expect a full-scale revolution of robot workers throughout the workplace. Automation is less likely to emerge in industries that involve managing others, applying expertise, stakeholder interactions, and roles that involve caring. While less likely to be automated, these areas are not exempt: roles such as data collection and processing, once revered for their level of expertise required, are now 64% and 67% likely to be automated, respectively.
Index Are there any jobs that are impervious to an AI takeover? Emulating the writer Can you guess which is which? You can't automate a personality Are there any jobs that are impervious to an AI takeover? If I had to guess, I'd say the 'creative' industries are relatively safe, for now. It would seem unlikely to me that we will see robot actors reciting lines from Hamlet on stage at the RSC, for example, or Middle-East Mobile Database auditioning for a place at the Royal Ballet School. And yet, last year an AI program wrote a short novel that passed the first round of screening for a literary award , so my estimates may have slightly underestimated AI's creative capabilities. Two years ago, Gartner predicted that by 2018, 20% of enterprise content will be created by machines, stating that "enterprise content such as reports, legal documents, press releases, articles, and whitepapers are all candidates for automated writing tools.
As we approach the start of 2018, is content marketing next on the list of jobs that will be consumed by AI? Emulating the writer Content marketing automation currently involves two core technologies, both of which are components of AI. They are natural language processing ( NLP ) and natural language generation ( NLG ). process by which a computer program can understand human speech as it is spoken. It is currently used in rudimentary language translation and voice control. the process of converting structured data into written narratives, capable of automating the writing of financial reports, product descriptions, memos, etc. These two technologies work together to process and understand language first and then generate it in an understandable way. Think of NLP as the 'reader' and NLG as the 'writer'; both support each other to automate content creation. Tools like Narrative Science and Wordsmith are leading the line in this space.
Index Are there any jobs that are impervious to an AI takeover? Emulating the writer Can you guess which is which? You can't automate a personality Are there any jobs that are impervious to an AI takeover? If I had to guess, I'd say the 'creative' industries are relatively safe, for now. It would seem unlikely to me that we will see robot actors reciting lines from Hamlet on stage at the RSC, for example, or Middle-East Mobile Database auditioning for a place at the Royal Ballet School. And yet, last year an AI program wrote a short novel that passed the first round of screening for a literary award , so my estimates may have slightly underestimated AI's creative capabilities. Two years ago, Gartner predicted that by 2018, 20% of enterprise content will be created by machines, stating that "enterprise content such as reports, legal documents, press releases, articles, and whitepapers are all candidates for automated writing tools.
As we approach the start of 2018, is content marketing next on the list of jobs that will be consumed by AI? Emulating the writer Content marketing automation currently involves two core technologies, both of which are components of AI. They are natural language processing ( NLP ) and natural language generation ( NLG ). process by which a computer program can understand human speech as it is spoken. It is currently used in rudimentary language translation and voice control. the process of converting structured data into written narratives, capable of automating the writing of financial reports, product descriptions, memos, etc. These two technologies work together to process and understand language first and then generate it in an understandable way. Think of NLP as the 'reader' and NLG as the 'writer'; both support each other to automate content creation. Tools like Narrative Science and Wordsmith are leading the line in this space.