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Technical insights, case studies, and best practices from our work in life sciences data engineering and software development.
In the first half of 2026, a clear pattern showed up across large life sciences organizations. One after another, they signed deals to bring an external AI capability inside: a discovery model from a specialized biotech, a single-cell analysis platform, an agentic assistant running on a hyperscaler'
By Vuk Ćatović · 8 min read · AI and Machine Learning Walk into almost any large healthcare or life sciences organization and you will find at least one AI project that delivered. It routed the right case to the right specialist, drafted the first version of a report, flagged an anomaly a human mig
Simultaneous global development used to be an ambition. In 2026 it is increasingly the default plan. Sponsors want one program that reads across the major regions at once, and they want the regulators in those regions to accept a shared evidence base instead of demanding their own local repeat. Japa
When the model becomes the evidence in clinical development, the data foundation underneath it stops being plumbing and becomes the thing under inspection.
There are weeks at DataDrill when the work feels technical. Data pipelines. Cloud migrations. Reporting that used to eat afternoons. And there are weeks when the work feels human. This was one of those weeks.
Something important changed in how the industry talks about AI in the first quarter of 2026. The vocabulary moved from "AI-assisted" to "AI-agentic." Google Cloud Next 2026 centered the entire keynote on agent platforms.
Companies across industries are investing in dashboards, automation, and AI tools, yet many still struggle to get reliable answers from their own data. The reason is usually not a lack of software. It is a lack of structure.
Strong communities and leadership networks are essential for driving innovation and long-term business success. At DataDrill, we support young professionals by partnering with Junior Chamber International (JCI), a global network that develops leadership skills, encourages entrepreneurship, and foste
Healthcare data is notoriously difficult to integrate. Learn how FHIR provides a consistent way to access and exchange clinical data across systems using modern REST APIs.
Contract Research Organizations are undergoing digital transformation. Explore how cloud platforms, AI, and digital ecosystems are reshaping clinical research and accelerating drug development.
Artificial intelligence and modern data platforms are transforming how life sciences organizations manage compliance, analyze research data, and make strategic decisions.
Through our partnership with AIESEC, we welcomed three international marketing interns to our Novi Sad office, fostering cross-cultural collaboration and supporting the next generation of professionals.
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