Many of us believed digital transformation was so advanced that soon there’d be nothing left to digitize. Then reality set in. Core processes remained tied to slow, complex systems, innovation…
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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.Many of us believed digital transformation was so advanced that soon there’d be nothing left to digitize. Then reality set in. Core processes remained tied to slow, complex systems, innovation…
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…
On 28 November 2025, the Management Board of C&F S.A. and the Board of Directors of Esquercus S.A., headquartered in Luxembourg, adopted a cross-border merger plan that will simplify the group’s…
When I talk to clients, almost everyone tells me the same thing: “We already have a data platform, we are data driven.” On paper, that is usually true. In reality, it is more complicated.
Most supply chain control towers today focus on visibility and alerts. They collect signals and show what is happening, but they leave people to investigate root causes, assess business impact, and…
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…
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…
ITIL helps organizations design, deliver, and continually improve their IT services. Much like a hospital, every element must work in harmony for everything to run smoothly.
Choosing the right AI model is critical for success. Learn about key risks: unverified models, bias, API vulnerabilities, and version drift. Avoid common mistakes in your AI initiatives.
Every salesperson should live by one motto: let your customers know you care. Relationships, after all, need attention and effort to grow. In today’s world of widespread automation, nurturing these…
Everything looked good on the dashboard. Green indicators, positive forecasts, and performance aligned with the sales plan. Yet, within weeks, the product missed its quarterly target by a wide…
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.