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Dive into in-depth articles written by our experts. We cover a range of topics, from industry trends to technology advancements to best practices. Gain valuable insights and learn from our thought leaders to stay ahead in your field.
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Out of respect for my readers’ time, let me say it right away: no, the era of AGI (Artificial General Intelligence) has not arrived yet. The current progress of LLMs (such as GPT-6 or Fable-5.1) is…
For as long as I’ve worked with animal health organizations, I’ve heard the same comparison repeated: “Animal health is five to ten years behind human pharma.”
Every company today is on a digital transformation journey, whether it’s formal or informal. Some are just leaving the base camp, others are halfway up the trail, and a few are already approaching…
Gaining visibility over manufacturing processes is not as easy, and requires connecting several systems. A dashboard requires data from the historian. A reporting tool needs information from the MES….
Article
Internal Developer Platforms for data teams: Closing the gap between infrastructure and delivery
Ask an engineer how long it takes to stand up a new sandbox, and you get two numbers that do not agree. The hands-on part, creating the repository, wiring the pipeline, requesting access, could run…
Organizations have never invested more in data than they do today. The global big data market is currently estimated around $320-450 billion and is expected to double by 2030.
The right architecture in organisation depends on data maturity, workload mix, and governance readiness. Data warehouses deliver reliable analytics on structured data. Data lakes handle volume and…
In Animal Health, accurate reports still produce late decisions. See how Decision Intelligence closes the gap between a signal and the person who acts on it.In Animal Health, accurate reports still…
Article
Azure to Azure Platform Migration Part 1: Why the Timeline Starts Slipping Before the Code Changes
In this series I want to challenge a myth I keep running into: that migrating data and analytics solutions from one Azure environment to another is always a simple lift-and-shift exercise, because…
The right architecture in organisation depends on data maturity, workload mix, and governance readiness. Data warehouses deliver reliable analytics on structured data. Data lakes handle volume and…
The pharmaceutical industry has always run on long timelines and high stakes. Bringing a single drug to market takes an average of ten years and 2.6 billion dollars, and the failure rate remains…
Article
Beyond the Code: How Scientific Method in Data Science Brings Decision Intelligence to Managers
Without scientific structure, data analysis is sophisticated guesswork. Instead of reacting to executive intuition, a data science team asks a precise question, locates the actual cause, tests a…
When structured e-invoicing becomes mandatory, most organizations focus on compliance. The bigger opportunity is to use it to improve how invoices, purchase orders, and budgets work together.
Article
Decision Intelligence in Regulated Industries: Explainable Data-Driven Decision-Making Powered by AI
A pharma supply chain planner spots a potential shortage two weeks before it hits. The data is there and the signal is clear. Yet the round of calls and manual checks that follows takes long enough…
Many organizations have invested heavily in modern data platforms such as Snowflake, Databricks, or cloud-based ecosystems built on Microsoft Azure. These environments provide scalable storage,…
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