No Data, No AI: Bridging the Gap in Smart Manufacturing
Webinar Overview
The buzz surrounding artificial intelligence (AI) and its transformative potential has reached a crescendo. While AI has already made significant strides in areas like healthcare, finance, and autonomous vehicles, manufacturers are facing unique challenges. Unlike some other industries, they grapple with bringing disparate data sources together, ensuring interoperability, and integrating edge data into cloud and enterprise systems for AI utilization.
Despite the allure of AI as a magic wand for solving data quality and trust issues, the reality is far more nuanced. In this webinar, Ravi Subramanyan, HiveMQ Director of Industry Solutions Manufacturing, will shed light on:
The importance of having a framework in place for reliable data
The critical role of data management and quality in feeding AI/ML and other advanced analytics models
How organizations can leverage AI as an enabler
Join us as we explore how a strong data management foundation is essential for AI success, particularly in the context of Manufacturing and Industrial Automation. Don't miss this opportunity to gain insights into optimizing your data infrastructure for AI-driven innovation.
Ravi Subramanyan
Ravi Subramanyan, Director of Industry Solutions, Manufacturing at HiveMQ, has extensive experience delivering high-quality products and services that have generated revenues and cost savings of over $10B for companies such as Motorola, GE, Bosch, and Weir. Ravi has successfully launched products, established branding, and created product advertisements and marketing campaigns for global and regional business teams.
Magnus McCune
Magnus is a Senior IoT Solutions Architect on the Professional Services team at HiveMQ. He is a passionate technologist with a proven background solving complex business and technical challenges through the design, implementation and operationalization of cloud and edge technologies. His expertise extends to network, cloud, & infrastructure architecture, cloud-native solutions design and large-scale automation projects.
