Businesses are finding AI a challenge for data privacy

Key Takeaways:

– IT leaders are prioritizing the deployment of AI to improve customer experience.
– Concerns about protecting customer data and ensuring data privacy are increasing.
– Businesses are investing in data security measures to manage and protect the large amounts of data needed for AI implementation.
– AI is seen as crucial for personalization across the customer journey.
– Data privacy and protection are also important for the employee experience.
– Challenges include keeping up with the rapid evolution of AI technology, knowledge gaps, and collecting high-quality data for training AI models.
– Data privacy and protection regulations are seen as hindrances to improving personalization.

TechRadar:

As the world is currently in grip of AI fever, businesses are trying to implement it to improve the customer experience – but it’s proving difficult for many.

Among the top concerns for IT leaders is how to protect the privacy of customer data, especially as it continues to mount – a problem exacerbated by the growing need to implement AI to help drive personalization.

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AI Eclipse TLDR:

A new report from Zendesk reveals that implementing AI to improve customer experience is proving to be a challenge for many businesses. One of the top concerns for IT leaders is how to protect the privacy of customer data, especially as the need for AI-driven personalization grows. The report shows that 84% of IT leaders have prioritized the deployment of AI in their organizations, and 87% are making investments in data privacy and cybersecurity their main concern. In order to successfully implement AI, businesses need to securely manage large amounts of data. AI is seen as crucial for improving customer experience and fostering personalization, with 89% of IT leaders stating that using AI across the customer journey is important. Data privacy is also a top priority, with 89% of IT leaders emphasizing the importance of keeping customer data private and protected. Additionally, businesses need to focus on the employee experience, as it requires the same level of seamlessness and personalization. Challenges in AI adoption include concerns about the rapid evolution of technology, knowledge gaps in understanding the impacts of AI, and the struggle to collect high-quality data for training AI models. Furthermore, 66% of IT leaders believe that data privacy and protection regulations hinder their ability to improve personalization for customers.