Monica McDonnell
AI Strategist, Teradata
Abstract: Increasing Manufacturing Productivity by leveraging AI at scale
Deploying Industry 4.0 AI use cases at scale comes with complex data harmonization challenges. Overcoming these is crucial to get the promised productivity improvements from AI. To effectively deploy AI use cases within a complex IT/OT environment, it is essential to identify and eliminate the bottlenecks in delivering value.
A paradigm shift is proposed: bringing AI to the data, rather than moving data to the applications and algorithms. This short talk will explore real-life use cases that demonstrate this innovative strategy and showcase its business value.
Bio:
Monica McDonnell is an AI Strategist for the Manufacturing industry with Teradata. She is an experienced consultant in the field of enterprise software, digital transformation, big data, AI and analytics. Her career has been spent in various consulting roles within the manufacturing industry. In her current role, Monica focuses on how manufacturers can move beyond the hype to deliver measurable business value from AI.
Teradata
At Teradata, we believe that people thrive when empowered with trusted information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. See why at Teradata.com.