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…
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Navigate digital transformation with our expert insights on AI, analytics, and data governance. Explore in-depth articles, reports, and success stories showcasing real-world solutions. Stay ahead with industry trends and practical strategies for Life Science and regulated industries.
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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…
Our team spent four days at Snowflake Summit 2026 in early June. Wojciech Winnicki (CTO), Michał Werner (Head of Tech Practice, Data Engineering), and Sebastian Flak (Senior Data Engineer) made the…
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…
The terminology around artificial intelligence is getting crowded, making it hard to scope real technical projects. The bottom line: an AI assistant is a reactive interface built for single-prompt…
The terminology around artificial intelligence is getting crowded, making it hard to scope real technical projects. The bottom line: an AI assistant is a reactive interface built for single-prompt…
Article
Accountability, Transparency, Traceability: A Practical Governance Model for Trustworthy AI Agents
Over the past year, we have witnessed a very rapid increase in the popularity of the concept of AI Agents. As leadership teams and IT departments try to bring AI agents under strategic control, a…
Article
AI-Assisted Software Development Process: Insights From an International Survey on AI Readiness & Adoption
The rapid advancements and adoption of GenAI is reshaping how software is being created. From code completion and documentation generation, to supporting decision making, such as exploring…
Ensuring AI requires integrating risk management, ethics, and accountability into organizational governance. Frameworks like ISO/IEC 42001 and emerging regulations such as the EU AI Act and NIST AI…
Before dashboards, before automated insights, before anyone called it “BI,” there was a baker. Every morning, they decided how much bread to bake. Not based on reports—but on experience and…
Article
How to Ensure AI Data Security in Enterprise Implementations: Data Risks and Mitigation Strategies
Discover critical data risks before deploying AI systems: data leakage, poisoning attacks, and quality issues. Learn how to mitigate these threats and deploy AI safely.
While bringing immense potential, AI solutions can also introduce hidden vulnerabilities. Learn about the most important ones and ways to deal with them.
For years, Snowflake was seen primarily as a modern data warehouse: scalable, cloud-native, and designed to unify data silos. But over the past two years, a deeper shift has unfolded. One that…
Is your organization truly ready for AI, or just caught up in the hype? In this article, we outline five essential questions every business should ask before committing to AI adoption. From setting…
Every company wants to be data-driven, and for years, CRM systems have been at the center of that ambition. But here’s the reality: most businesses are sitting on tons of customer data without a…
