Unlocking Data at Scale: Building the Foundation for AI Models

As businesses gather as much data as they can, many are overwhelmed by it and fail to extract its full potential. Data silos, inefficient manual processes and inconsistent access to cloud-based data platforms can undermine data quality. This can lead to bad decisions, reduced productivity and abandoned artificial intelligence (AI) projects. Poor data quality cost companies dearly.

The problem is exacerbated when non-technical staff are asked to make data-based decisions quickly with basic tools, such as spreadsheets. How can AI and data governance be used by senior decision-makers, with varying levels of technical skill, to improve analysis and drive growth?

Connecting disparate data and automating tasks can help business leaders. So what steps can organisations take to ensure their data is AI-ready? How can organisations balance speed, accuracy and governance? And what does it take to shift teams from reactive decision-making to predictive intelligence?

Join Economist Impact for “Unlocking data at scale: building the foundation for AI models”, sponsored by Alteryx, a virtual event exploring the role data plays in a company’s AI-readiness. Hear experts discuss the impact of data access and quality on AI performance. Data and tech leaders will also share successes and failures in data governance and its impact on business performance.

Discussion points include:

• What data silos are common and how do they affect organisational performance?
• How can companies democratise access to data while maintaining governance and security?
• How do firms determine if datasets are AI-ready?
• How can workers be equipped with the necessary skills to maximise value from data?