The adoption of data analytics and artificial intelligence (AI) presents both significant opportunities and formidable challenges for organizations. While the potential benefits of AI and data-driven decision-making are immense, including enhanced efficiency, innovative capabilities, and competitive advantage, many organizations struggle with the practical aspects of implementation.
Key challenges include data quality and integration issues, lack of skilled personnel, cultural resistance to change, and inadequate infrastructure. This article explores these barriers in detail and provides a framework for assessing organizational readiness. By addressing these challenges proactively, organizations can better position themselves to harness the transformative power of data and AI, ens
Council Post: Overcoming Obstacles in Data and AI Integration; Preparing for a Seamless Transition
- By Arockiaraj Arockiam
- Published on
The journey to successful AI adoption is marked by significant challenges and requires a strategic approach to ensure readiness.
