#AI@Work: Can We Keep the Data a Secret?
AI is making recommendations, suggesting alternatives and translating languages. The news we receive daily is produced and presented by some form of bot, not a human being. It is taking over the role of human advisor. Any field based on historical research, known strategies, models and basic review and analysis is vulnerable. What are the keys? Standard and recurring questions and significant data for AI to work with. Any field that relies on data for superior strategies and insight will have AI as part of the workplace.
No one starts out to replace people with AI. Technologies are used to solve human problems and enhance business processes. In the past the only way we had to deliver expertise was people. In the future data will tell us. That’s what makes clean data so very important. Data is what drives AI. AI covers a very wide range of applications. Part of the challenge is the definition we’ve placed on AI. AI has taken on the scope of replacing human thought. Once we understand AI, it is just another software application. Another tool in the technology arsenal to solve another business problem. It’s important that humans have a clear understanding of how AI works.
Confidence in AI relies on confidence in the data. Often AI makes decisions and predictions based on varying degrees of certainty. AI helps business in anything involving numbers and data like billing, pricing and marketing. The more predictable the task, the less inherent uncertainty involved, the quicker AI can generate accurate responses as long as the data cooperates. Often AI is seen as a black box. But it’s not a question of whether AI is more accurate than humans, it is a question of whether AI is as accurate as humans.
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