Browsing: All

Data Lifecycle Management (DLM) is a comprehensive approach to managing data from the point of its creation through to its final disposition.

Balancing AI’s data capture benefits and privacy concerns requires transparency and consumer education, with clear opt-in options.

AI systems can perpetuate societal biases, leading to discrimination, necessitating the development of unbiased algorithms.

Generative AI transforms bank risk management by shifting to strategic prevention, creating AI-powered risk centers.

AI enhances daily life with virtual assistants, self-driving cars, and smart devices, improving convenience, efficiency, and productivity.

AI transparency issues create distrust and resistance, as complex models obscure decision processes, making accountability.

Edgard Capdevielle, has previously held key roles at companies like ForeScout Technologies, Imperva, and EMC Corporation.

Nick Narodny began his career with a strong educational background and early experiences that shaped his entrepreneurial drive.

GiG emphasises regulatory compliance and responsible gaming, holding licenses from major regulatory bodies.

Segal’s work consistently focuses on leveraging cutting-edge technology, including AI and predictive analytics, to drive innovation in media.

OUR TAKETesla’s substantial investment in Nvidia hardware reflects the growing importance of AI in the automotive industry. By enhancing its…

OUR TAKEWhether it’s data warehousing, master data management, data governance, data integration, or data quality management, each type of data…