Incorrect results, lack of transparency, security vulnerabilities, data privacy violations – there are many risks that organizations must navigate as they strive to realize the competitive advantages offered by AI adoption. Mitigating AI risks requires the right blend of governance, security and compliance technologies and practices to ensure AI systems and applications are safe, secure and trustworthy. This includes platforms, tools and processes for data and AI governance, security and privacy, and compliance management.
Dive into key solutions and emerging best practices with industry experts on this roundtable.
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Presenters
Steve Karam
Steve Karam is an enterprise technologist and outcome-driven leader with diverse expertise in customer success, product management and engineering, education, SaaS, cloud, data technologies including AI/ML and natural language processing, and beyond across nearly every market vertical. A restless and relentless learner and advocate for personal and team growth who works primarily with federal, financial services, and healthcare organizations within Perforce. In the technical arena Steve is proficient or expert level with cloud architecture, multiple RDBMS, NoSQL, multiple programming languages including Python and React, common DevOps & SDLC tools, AI/ML, SaaS architecture, blockchain, data analytics, and several other topics.