Our panel discussion explores the transformative potential of big data and AI across diverse industries. We will address key technical challenges such as data management and model scalability, along with ethical and privacy concerns, including data utilization and algorithmic biases. Looking ahead, we will discuss future trends and emerging AI breakthroughs. Emphasizing interdisciplinary collaboration, we advocate for diverse teams to ensure fairness and innovation in AI solutions. This dialogue aims to illuminate the complexities and opportunities in big data and AI.
talk-data.com
Speaker
Steven Totman
1
talks
Steering Informatica's Field CTO Office as Chief Architect, Steve focuses on leveraging the power of data to develop strategic solutions that align with customer needs. At the core of his role, Steve adeptly applies his 24 years of data experience across multiple vendors to enhance Informatica's leading market position. Steve's tenure as Chief Product and then Strategy Officer at Privitar, a data privacy startup acquired by Informatica in 2023, sharpened his strategic skills. During this time, Steve led his team in developing products that significantly influenced the data privacy and security management landscape, showcasing his commitment to driving innovation and ethical data usage. Previously, Steve spent six years leading the Global Financial Services vertical at Cloudera, a pioneer in the Big Data/Hadoop space, and 18 years leading Strategy/Product teams at Precisely (Syncsort), IBM, Ascential, Informix, and Ardent. These roles involved leading products such as DataStage, Watson Knowledge Catalog (Business Glossary/Metadata Workbench), QualityStage, Information Analyzer, and more.
Bio from: Big Data LDN 2024
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