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3 Common Data & AI Challenges
Talent scarcity & limited in-house expertise
The competitive data science job market makes it challenging for companies to attract and retain skilled data scientists. This leads to substantial recruitment costs and difficulties in building in-house teams.
Uncertainty on where to start
Companies often feel overwhelmed by the complexities of data science and AI, unsure of where to begin. This lack of clarity can hinder the initiation and effective implementation of data-driven strategies.
Data quality and integration issues