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How does embedding AI across drug discovery deliver real outcomes?
Discover how embedding AI across drug discovery accelerates timelines and integrates R&D workflows to drive real outcomes in pharmaceutical innovation.
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Ricardo Oliveira
Ricardo Oliveira is a Senior Director at TechFinitive, where he frequently collaborates with TechFinitive's editorial team to write and produce content. He's based in Sydney, Australia.
Sean Yu, Vice President of Commercial for APAC at EBANX: “Stop thinking about LATAM as a region you enter when your core markets are saturated”
Sean Yu, VP of Commercial for APAC at EBANX discusses Pix Automático, local payment rails and the future of recurring payments in LATAM
Women have been failed by sleep research for decades, here’s what will actually fix it.
Digital trials and real-world data could transform women sleep research and improve sleep apnoea diagnosis rates.
Neha Duggal, Chief Product Officer at P0 Security: “Security teams need control at the point where an identity tries to take action”
P0 Security’s Neha Duggal breaks down AI agent identity risks and the urgent shift from model safety to operational control for secure automation.
Dr Deepak Kumar, Founder and CEO, Adaptiva: “Even with partial automation, organizations are leaving too much on the table.”
Dr. Deepak Kumar, Founder and CEO, Adaptiva, explores the vital shift from visibility to autonomous remediation in modern cybersecurity.
Healthcare AI must run on trust. Governance is how you earn it.
As Healthcare AI moves beyond pilots, trust and governance are emerging as the foundations of safe, scalable adoption.
Nick Turner, CEO of Dreamdata: “Resist the temptation to talk in probabilities”
We interview Nick Turner, CEO of Dreamdata and a veteran in the B2B SaaS space with 20+ years of experience building and growing startups.
The lab is digital. The data still isn’t connected.
Digital labs are fragmented. Scientists lose time moving data. To benefit from AI, life sciences must shift to unified infrastructure.
What’s realistically possible with AI in IT today, and what still isn’t
AI is transforming IT operations, but fragmented data continues to limit its effectiveness. This article explores how observability, data quality and unified visibility are essential for enabling reliable AI-driven automation.
Why a closed-loop approach is the only way AI can deliver true value to life sciences R&D
Discover why current AI efforts in biotechnology often fall short, and explore how a closed-loop approach to data generation is the essential path to unlocking real value in Life Sciences R&D.