Forbes October 28, 2024
Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health.
Artificial intelligence (AI) and machine learning (ML) are driving transformative change in support engineering, offering powerful ways to streamline operations such as ticket triage, automated responses and predicting technical failures. However, implementing AI is not without its challenges, and leaders must navigate these hurdles thoughtfully. Here’s a closer look at the common roadblocks in adopting AI, strategies for effective implementation and key considerations to guide leadership decisions in integrating AI into support operations.
Challenges Of Implementation And Strategies For Success
Data Quality And Volume Issues
AI systems rely heavily on high-quality data to learn and improve over time. Incomplete, inconsistent...
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