Francis Sesmonde’s Post

Most market decisions still rely on signals reconstructed after the fact. The problem isn’t technological. It’s structural: fragmented sources, aggregation latency, and reliance on probabilistic models. As long as the signal isn’t captured at the source, in real time, orchestration remains approximate. And at enterprise scale, approximations are costly.

Nilesh Jasani explores the “customisation paradox” and highlights how agents are shifting personalisation from companies to users, removing complexity - thereby enabling more efficient outcomes. It also points to a broader “silicon shock,” where AI-driven infrastructure is redefining how information is accessed, processed, and acted upon. https://lnkd.in/ggET5QAT

DPI in a 90% Encrypted World: From Inspection to Intelligence Deep Packet Inspection has long been framed as a control tool. That framing is increasingly incomplete. In a world where more than 90% of traffic is encrypted, the classical DPI model - “read the packet and act” - loses relevance. What replaces it is not a diminished role, but a more sophisticated one. Modern DPI is less about inspection and more about inference. Less about blocking and more about modeling patterns. Increasingly, it relies on self-learning behavioral systems capable of extracting insight without direct content visibility. Industry analysts project sustained double-digit growth in network analytics and DPI solutions, driven by rising complexity in digital ecosystems and growing infrastructure risk. At 7Generation, we see DPI as the starting point for real visibility — and without visibility, control, monetization, and resilience remain out of reach. A modern network must understand what is happening, even when it cannot decrypt what is being said. That is where the next evolution of DPI begins.

Drift is how complex systems begin to fail. Not through collapse. Through misalignment. In large systems signals travel through many layers: infrastructure organizations algorithms human decisions At first the deviations are small. A delay here. A slightly distorted signal there. A decision made with incomplete information. Nothing dramatic. But complex systems amplify small differences. Signals that once moved in synchrony begin to separate. Decisions start reacting to outdated states. Resources move according to yesterday’s reality. Friction slowly accumulates inside the system. From the outside everything still appears functional. But internally coherence is already drifting. And when enough drift accumulates, the system begins to behave unpredictably. Not because it lacks intelligence. But because its signals are no longer aligned. Tomorrow: Structural Friction.

As enterprise environments become more distributed, visibility across systems, sites, and devices is more important than ever. In this interview with Digitalisation World, ScienceLogic Sr. Director of Market Strategy & Analyst Relations Arturo Oliver shares why edge observability is taking center stage and what organizations need to turn distributed data into actionable insight. 🎥 Watch the full interview to discover how organizations are monitoring, managing, and acting on data across distributed systems: https://bit.ly/4m1oGqE

Great perspective here from Arturo Oliver on why edge observability is becoming such an important part of the conversation. As enterprise environments continue to expand across sites, systems, and devices, gaining visibility into what is happening beyond the traditional data center and cloud is becoming increasingly critical.

A really timely conversation on the growing importance of edge observability. As more organizations operate across distributed environments, the challenge is no longer just collecting data, but turning that data into meaningful insight and action. Arturo Oliver shares a strong perspective here on why visibility across the edge matters and how it is shaping the future of IT operations.

Great perspective here from Arturo Oliver on why edge observability is becoming such an important part of the conversation. As enterprise environments continue to expand across sites, systems, and devices, gaining visibility into what is happening beyond the traditional data center and cloud is becoming increasingly critical.

Great perspective here from Arturo Oliver on why edge observability is becoming such an important part of the conversation. As enterprise environments continue to expand across sites, systems, and devices, gaining visibility into what is happening beyond the traditional data center and cloud is becoming increasingly critical.

The latest update for #ScienceLogic includes "The Cognitive Ceiling: Why Modern Environments Outgrew Human Interpretation" and "The Hidden Crisis in Modern IT: Interpretation Risk". #Monitoring #AIOps https://lnkd.in/d-94C_Hf