Stream: AI
Time: 11:15 - 12:00
More than 80% of AI projects fail according to RAND, Gartner, and others - in this session we'll focus on one of the key reasons that the other 20% are successful - high quality data.
Join us as we explore how to improve data quality and begin to explore your mainframe data with open source tools.
Since establishing his foundation in enterprise data systems through work with educational institutions, trade organizations, and U.S. government agencies, Joshua Powell has consistently driven innovation in large-scale data management and integration.
As founder of geospatial data science venture Viable Industries, he architected enterprise-grade SaaS solutions while scaling the organization's engineering and data science capabilities.
Joshua led Honeywell AI's New Product Innovation research team, where he expanded the division's technical capabilities in artificial intelligence, robotic, and supply chain solutions for industrial applications.
Currently serving as Staff Software Engineer at Broadcom's Mainframe Software Division in Pittsburgh, Joshua leverages his extensive background in enterprise systems to advance mission-critical data infrastructure and engineering practices with the goal of creating frictionless onboarding experiences in large-scale computing environments.
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