AI integration<\/a> really involves \u2013 from defining KPIs that align with business goals to understanding that perfection, like 100% data extraction accuracy, is not the target. She shares how to choose the right vendor in a saturated market and why starting small with pilot projects is often the most effective way to scale.<\/p>\n\n\n\nThe episode also highlights the human side of AI adoption. Karyna discusses practical ways to empower teams, navigate change management, and close the knowledge gap through upskilling. She also explains how to build meaningful collaboration between people and AI systems, and why data privacy must be a core consideration, not an afterthought.<\/p>\n\n\n\n
Watch the full episode to gain practical insight from one of the leading voices in AI strategy and product innovation.<\/p>\n\n\n\n\n
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<\/p>\n","protected":false},"excerpt":{"rendered":"
Most AI projects today don\u2019t fail because of flawed technology \u2013 they fail because of unrealistic expectations. In this video, Karyna Mihalevich, Chief Product Officer at Graip.AI, unpacks the realities of AI adoption and shares a clear, experience-based framework for achieving measurable business value with AI. Karyna explores what successful AI integration really involves \u2013 […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,8],"tags":[],"class_list":["post-6452","post","type-post","status-publish","format-standard","hentry","category-ai","category-automation"],"acf":[],"yoast_head":"\n
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