With the surge of generative AI due to a lack

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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 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 organization struggles to collect and classify enough high-qualitydata to effectively train AI models for business. 'automating. Just under

half of survey respondents say they are concerned aboutimplementing generative AI  Chinese Australia Phone Number List 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 of skills within

their teams. “We're not a big company,” says one IT generalmanager. “I don’t have any collaborators specialized in data science. We wantto know how we can integrate AI with our current people.” With 57% of ITexecutives reporting skills gaps related to emerging AI technologies, companiesthat are ahead of the competition are collaborating with trusted strategic partnersto realize AI's potential generative in their fields. Although implementinggenerative AI can be time-consuming and tedious, there are many ready-to-usesolutions. For example, businesses can deploy generative AI-powered bots,trained on existing knowledge bases, to free support agents from the burden ofcertain customer conversations. Learn more: the strengths and limitations of