Organization struggles to collect and classify

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time. They are not the only ones in this situation.Generative AI is a transformational force: from technology to art, businessesmust prepare for its impact. 3 pitfalls to avoid in the race for generative AI,and 3 ways to take advantage of them In the Zendesk 2023 report, “IT LeadersFace New Challenges in Security, AI, and Customer Experience,” we identifiedthree common pitfalls that IT leaders must avoid to stay competitive in achanging landscape. rapid evolution. 1. A lack of strategy and priority setting

More than half of IT executives surveyed for the reportexpressed concern that the AI ​​landscape is changing so rapidly, affecting theirability to keep pace with the competition. A director of IT and digitaltechnologies at a large company said: “I'm interested in the applications ofthis Chinese Malaysia Phone Number List  technology, but I don't really know how to use generative AI in mysector.” Although the speed of change is unsettling, what is certain is thatmost IT leaders are aware of the potential of generative AI in CX: 83% ofexecutives surveyed believe that the use of AI generative in the customerjourney will be more important in the coming year. Learn more: some real-worldexamples of how artificial intelligence is being applied by customer serviceteams 2. Poor quality data and poorly prepared technological tools ITexecutives surveyed are concerned about the quality of their data, with 60%saying their enough high-qualitydata to effectively train AI models for business. 'automating. Just under

half of survey respondents say they are concerned aboutimplementing generative AI into their technology tools. While some leadingbrands may be able to leverage their own data to create personalizedexperiences for their customers, the reality for most businesses is that thismay pose a privacy or security risk. By partnering with trusted vendors,businesses can implement generative AI into their customer service applicationswithout risking data privacy violations. Read our report: Finding the balancebetween data privacy and personalized customer experience 3. A lack of skillsin IT teams One of the most commonly shared sentiments in this report is thatsome IT teams do not feel ready to deal with the surge of generative AI due toa lack of skills within