While AI is the buzzword today, the act of putting the cart before the horse is still anomalous.
Your ultimate goal is to utilize both automation and AI to provide the best possible experience for your customers. However, it’s important to recognize that automation should be considered as a foundation for AI, rather than viewing the two technologies as being equal partners.
Automation and AI are both important tools that can help customer service teams improve their efficiency and effectiveness. However, mastering automation should be a priority before moving on to AI.
Data hygiene is important for AI because the accuracy and reliability of AI models depend on the quality of the data used to train them. If the data is incomplete, inconsistent, or contains errors, it can negatively impact the performance of the AI system. which unfortunately is the case today with most of the AI products available in the market.
Therefore, ensuring good data hygiene practices, such as data cleaning, validation, and normalization, is crucial to obtaining meaningful insights and achieving optimal AI performance.
AI paving the way for the future of customer support by enabling businesses to provide faster and more efficient service to their customers. With the help of AI technologies such as machine learning and natural language processing, businesses can automate routine tasks, such as answering frequently asked questions, routing inquiries to the right department, and providing personalized recommendations to customers.
According to the aforementioned Forrester report full report available , a significant number of enterprises have made substantial investments in AI and are experiencing favourable outcomes, which fuels additional investment in our ever-evolving intelligent digital colleagues. The rapid progress in what enterprise applications can achieve is constantly expanding and accelerating, and this upward trend will benefit all enterprises.
TransMon can aid in planning and promoting thoughtful consideration, leading to improved outcomes in the long run. With automation, enabling companies to save time and establish efficient data practices, thereby preparing the customer support teams for successful integration of AI in the future.