As artificial intelligence (AI) and machine learning (ML) systems become more powerful, personal data may be misused, disclosed or abused. In our connected world where our personal information is sold for money, it is understandable to worry about how AI might affect our privacy.
To ensure that data remains secure, businesses must understand the implications of using AI and ML technology. They must also put rigid measures in place to protect sensitive information.
AI in Business: The Good and the Bad
AI is already being used to generate insights from large volumes of data. In the business world, it can making predictive analytics a more accurate and streamlined process through automating marketing emails or creating targeted ad campaigns.
Most organizations have the capability to gather massive amounts of data about their employees’ activities, interactions with other employees (emails, Teams/Slack/Yammer messages), as well as content activities (create, update, edit, publish, etc.). As a result, AI can help us learn about each user’s knowledge, experience, and working network within and outside their organization, amongst other things.
Businesses can also utilize AI to better manage/promote customers by collecting insights from previously inaccessible databases. The more data an AI system has to process, the more it learns and “grows wiser.” Customer relationship management, marketing strategy analysis and sales forecasting, to name a few, are essential areas where automation can be improved.
However, businesses must understand the implications of using AI technology and the potential risks associated with it.
Leave a Reply