In this episode of the EY Microsoft Tech Directions podcast, hosted by Susannah Streeter, the focus is on harnessing the power of data and artificial intelligence (AI) to unlock new business value. Joining the conversation are Anna Stamatelatos, Americas Leader for Analytics and Data at Microsoft, and Edward Bobrin, Ernst & Young LLP, leader of Microsoft Data and AI Competency. The episode explores the critical role of data as a strategic asset in today's digital era, emphasizing the necessity of high-quality data and effective governance to derive actionable insights.

They discuss the challenges businesses face with data silos and integration, stressing the importance of a broad data strategy and the use of hyper-connected systems for efficient data management. They highlight how companies can overcome data bias by continuously monitoring data sets and incorporating third-party data for a balanced view.

The discussion showcases real-world examples of AI driving new revenue streams, improving operational efficiency, and help enhancing customer personalization across various sectors, including retail, health care, and manufacturing. Practical strategies for starting on this journey include defining clear use cases, investing in scalable data platforms and leveraging collaborations for knowledge.

Looking ahead, the episode predicts continued advancements in AI and natural language processing, with AI becoming increasingly embedded in everyday business tools. The importance of responsible AI practices, data security, and ongoing employee training is emphasized to help ensure ethical and effective use of AI.

Key takeaways:

Understand the role of AI in transforming data management and generating actionable insights, emphasizing strategies for overcoming data silos and addressing data quality
Appreciate AI's potential to create new revenue streams, improve operational efficiency and personalize customer experiences across various industries
Recognize the importance of training and help empowering workforces to utilize AI effectively, highlighting the shift from routine data management to strategic decision-making

EY refers to the global organization, and may refer to one or more of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. The views of third parties set out in this publication are not necessarily the views of the global EY organization or its member firms. Moreover, they should be seen in the context of the time they were made.