The Importance of Data Quality in AI Adoption

Embarking on the journey of artificial intelligence (AI) requires a crucial step before setting sail – assessing the state of your data. The quality of your data can make or break your AI initiatives, potentially leading to wasted resources and missed opportunities.

According to Gartner, organisations suffer an average loss of $12.9 million per year due to poor data quality. However, the silver lining is that companies are now recognizing the significance of data quality and are taking steps to avoid this pitfall.

Ronnie Sheth, the CEO of SENEN Group, a firm specializing in AI strategy, execution, and governance, emphasizes the critical role of data quality in AI success. With extensive experience in the data and AI field, Sheth highlights the importance of laying a strong foundation by addressing data quality issues before delving into AI implementation.

Sheth warns against the common mistake of companies rushing into AI adoption without proper preparation. She notes that many organisations lack the necessary data infrastructure to support AI initiatives, leading to underwhelming results.

At SENEN Group, the focus is on helping companies improve their data quality before venturing into AI. By prioritizing data quality, organisations can ensure the accuracy and effectiveness of their AI models and solutions.

Sheth underscores the need for a practical and strategic approach to AI adoption. Rather than focusing solely on innovation and experimentation, she advocates for a value-driven strategy that emphasizes the practical application of AI in the enterprise.

One of SENEN Group’s success stories involves guiding a customer from data governance to a comprehensive data strategy, culminating in the implementation of AI initiatives. By following a structured approach that starts with data quality, organisations can achieve tangible results and maximize the value of AI.

Sheth’s insights on practical AI adoption will be a focal point of her discussion at the AI & Big Data Expo Global in London. She emphasizes the importance of transitioning from theoretical experimentation to real-world application, urging companies to seize the opportunity to derive value from AI in the enterprise.

For a more in-depth look at Ronnie Sheth’s perspective on AI adoption, watch the full video conversation below: