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Flavio Villanustre

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CISSP, CISO & SVP of Technology, LexisNexis Risk Solutions HPCC Systems

Flavio Villanustre, currently serving as the Chief Information Security Officer (CISO) and Senior Vice President of Technology at LexisNexis Risk Solutions, is an esteemed professional renowned for his expertise in cybersecurity and big data innovation. In his key roles at LexisNexis, Flavio has accumulated a wealth of experience in steering information security and technology strategy. His practical approach to addressing challenges in these domains has contributed significantly to the company's success. Flavio is also recognized for his contributions to open-source initiatives, with a notable focus on the HPCC Systems platform—a pragmatic solution for big data analytics. His dedication to advancing this platform has solidified his standing as a respected figure in the expansive field of massive data-intensive computing. With a commitment to practical solutions and a focus on addressing industry challenges, Flavio Villanustre brings a valuable perspective to the intersection of information technology, data management, and cybersecurity. As we welcome him to our conference, we anticipate gaining insights from his experiences that will resonate with our diverse audience.

Bio from: Data Universe 2024

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This session explores the technological advancements of analytics, data science, machine learning, AI, and quantum computing. Beginning with an overview of the historical development and current state of these technologies. LexisNexis' Flavio Villanustre will explore how analytics has transformed industries; how data science extracts valuable insights, how machine learning has moved from simple rule-based systems to today's deep learning models; and how quantum computing promises to solve previously intractable problems at speeds unattainable by classical computers.

Attendees will learn about the benefits and associated risks of each technology: Increases in efficiency, productivity, and innovation juxtaposed against vulnerabilities in privacy, security, bias, and wider societal concerns such as unemployment. These competing issues underscore the need for responsible, ethical research and deployment of such tools.