Thought leadership, best practices, and real-world success stories to advance your AI & Data knowledge, strategy, and execution.
Our latest articles on AI & Data
AI and ML in healthcare, backed by data availability, are transforming patient care. Examples like FDA-approved AI/ML medical devices and AI-enhanced autoinjectors illustrate their impact in diagnostics and care delivery, improving accuracy and patient outcomes. So what are some of the most transformative applications of AI and Machine Learning in healthcare?
Traditional data setups, characterized by centralized data lakes and isolated data systems, are proving inadequate in the face of increasing data volumes and evolving business demands. Enter the data mesh paradigm - a decentralized approach that promises to revolutionize data management. However, with any fundamental change, many questions arise. In this case, the key one being: is it worth transitioning to a data mesh?
The rapid adoption of AI in fraud detection is transforming the way financial institutions approach Anti-Money Laundering (AML) strategies. But before embracing these new technologies, financial institutions need to ask some hard-hitting questions: How robust are current compliance processes? Is the system flexible enough to cover the latest regulations? And is the team truly ready for this tech revolution?
The latest videos on AI, Data, and ML
Matteo Togninalli, COO of Visium discusses the future of Healthcare and Pharma, particularly the role of real-world data (RWD) and real-world evidence (RWE) in driving innovation and competition in the industry.
Many companies struggle with bringing machine learning models into production. What's holding them back? Lucas Nottaris, Associate Principal at Visium walks the audience through the main reasons most AI initiatives fails and how to avoid them.
Watch the joint presentation by Roche and Visium with Matteo Togninalli and Vanessa Schumacher about how Machine Learning can reduce bottlenecks in drug clinical trials and help upskill digital pathologists.
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