Thought leadership, best practices, and real-world success stories to advance your AI & Data knowledge, strategy, and execution.
Our latest articles on AI & Data
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?
For every new drug brought to the market, it costs $6.16 Billion and takes more than 10 years of work. Hence, pharma companies are always interested in new strategies that can facilitate and accelerate the drug development process.
Some businesses start in garages; some at hackathons; others by chance. Ours started with a conversation back in 2017 about how the world could benefit from AI / ML done well and with care. We had a vision and in just a few months a name that embodied it: Visium.
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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