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When we look back at the last two decades of IT evolution, few transformations have been as impactful as DevOps. What started as a cultural movement to break down barriers between software development and operations has now become the default model for how digital businesses build and deliver applications at scale.
Kevin Bohan, Director of Product Marketing at Denodo, has joined the DEVOPSdigest Vendor Forum.
The success of microfactories depends not just on sensors and robotics, but on how well data is connected, contextualized and consumed.
Dagli Agenti ai Domain Specific Language Models, dalla BI autonoma agli ambienti multicloud, dati ben governati saranno alla base di un’AI che possa portare un valore concreto.
Il 2026 segnerà il passaggio dalla sperimentazione all’adozione di un’AI governata, sicura e orientata al valore di business. L'analisi di Andrea Zinno, Data Evangelist di Denodo.
On this Data Privacy Day, the conversation has shifted dramatically. Privacy is no longer about locking data away or ticking compliance boxes once a year. Artificial intelligence now reads and recombines information across platforms in real time. Cloud systems stretch across borders. Digital identities — human and machine — access sensitive systems around the clock.
Dagli Agenti ai Domain Specific Language Models, dalla BI autonoma agli ambienti multicloud, dati ben governati saranno alla base di un’AI che possa portare un valore concreto.
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026.
This article was based on the interview with Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo by Greg Kihlström, AI and MarTech keynote speaker for The Agile Brand with Greg Kihlström podcast. Listen to the original episode here.
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How to handle strict and changing regulations with logical data management (Swedish)
Swedish companies must continuously adapt to a range of changing regulations. The EU's AI Act, the CSRD and the updated NIS2 Directive are just a few examples of regulations that require companies to be able to demonstrate that they have effective processes for control, quality assurance and traceability of their data management.