In a world where business users expect instant insights from tools like Power BI and Tableau, few stop to consider the heavy lifting happening behind the scenes. Dashboards may look simple, but the infrastructure powering them often involves layers of complex data engineering, expensive queries, and frustrating delays. This mismatch is what Nicolas Korchia, Co-founder and CEO of Indexima, calls the BI paradox.

In this episode of IT Infrastructure as a Conversation, Nicolas joins Neil to explore how Indexima is solving this issue by automating the most painful parts of business intelligence. Rather than forcing engineers to build yet another manual data pipeline, Indexima uses AI to identify query patterns and automatically generate dynamic tables directly within Snowflake. The outcome is faster dashboards, lower compute costs, and a smoother experience for analysts and engineers alike.

We unpack how Indexima’s engine monitors live dashboard usage, detects inefficiencies, and rewrites queries on the fly to target optimized aggregation layers. This not only improves performance but also contributes to sustainability by reducing the volume of data scanned and processed. For organizations under pressure to balance data speed with environmental impact, it is a practical and forward-looking approach.

Nicolas also shares real-world use cases from retail and finance, where customers have slashed dashboard load times from minutes to milliseconds and eliminated the need for nightly data extracts. The conversation touches on broader trends too, including the role of large language models in BI workflows and how tools like ChatGPT might soon assist in building semantic layers.

For anyone responsible for scaling data infrastructure, this episode provides a grounded look at how automation is reshaping BI from the ground up. If your teams are still wrestling with slow dashboards and spiraling query costs, this is a conversation worth listening to.

What if the future of analytics was not about working harder, but about letting your infrastructure work smarter?

As AI agents begin to influence how businesses operate, there's growing urgency around building infrastructure that supports their complexity without adding new risks. In this episode of IT Infrastructure as a Conversation, I speak with Alexander Alten, Co-Founder and CEO of Scalytics, about the architecture powering the next generation of AI and machine learning systems.

Alexander’s journey includes leadership roles at Cloudera, Allianz, and Healthgrades, and a deep commitment to building scalable, privacy-respecting technologies. At Scalytics, he's helping organizations avoid the limitations of centralizing data by building distributed systems that support federated learning. Rather than extracting and duplicating data across systems, Scalytics enables analysis directly at the source, making it easier for businesses in regulated industries to innovate with confidence.

Recorded live at the IT Press Tour in Malta, our conversation dives into the origins of Scalytics Connect, the company's AI agent infrastructure that leverages open-source frameworks like Apache Wayang. We explore why ETL pipelines often create fragility instead of flexibility, how decentralization supports both compliance and collaboration, and why open-source technologies continue to outperform closed systems over the long term.

For any CIO, CTO, or data architect looking to align AI capabilities with real-world constraints, Alexander’s perspective offers a refreshingly pragmatic path forward. His framework simplifies the complexity of federated machine learning while preserving data sovereignty, auditability, and future-proof flexibility.

If your organization is struggling with data silos, regulatory friction, or the scaling of AI models, this episode offers insight into a model that avoids duplication, improves trust, and accelerates results by treating infrastructure as the foundation for intelligent systems.

Could sustainable IT hold the answers to rising infrastructure costs and environmental pressure?

In this episode, recorded live during the IT Press Tour in Malta, we speak with François Machacek, an IT veteran with nearly thirty years of experience and a strong focus on digital sustainability. Now part of the team at EasyVirt, François is helping organizations measure and reduce the environmental impact of their digital operations.

The conversation begins with François’s career journey, from managing enterprise data centers across Europe to becoming a leader in responsible IT. He introduces EasyVirt’s technology, which includes DCscope, DCnetscope, and CO2scope, and explains how these tools provide real-time, high-frequency resource usage measurements across virtualized and hybrid environments. This level of visibility helps organizations make informed decisions that improve efficiency and reduce carbon emissions without compromising performance or security.

We examine how the environmental costs of digital technology are growing fast, especially with the expansion of AI workloads and data center demand. François discusses how EasyVirt addresses this challenge by offering software that works inside client environments, avoids reliance on average estimates, and instead delivers precise, continuous monitoring. He outlines the financial and environmental benefits clients are seeing in both the short and long term, including reduced compute waste, time savings in planning, and improved reporting against ESG targets.

The episode also highlights how FinOps and GreenOps can work together to guide smarter infrastructure use. François explains how these principles allow IT teams to balance financial planning with environmental goals, resulting in better resource control, improved compliance readiness, and more credible emissions reporting.

Looking ahead, François shares what’s next for EasyVirt, including new tools for measuring AI energy use, upcoming multi-impact assessments (carbon, water, materials), and a free new comparison platform called ECLIO. This tool gives IT teams insights into pricing and emissions data across major cloud providers, supporting better planning for cloud migrations.

If your infrastructure strategy needs to align with both cost efficiency and sustainability expectations, this episode provides a grounded look at how to get there using accurate data and practical solutions.