IT service management (ITSM) and IT operations management (ITOM) both have the mandate to ensure your organization’s IT systems and infrastructure run smoothly and efficiently. These two frameworks are essential for any modern IT environment, but their roles are often confused or misunderstood. Simply put, ITSM focuses on the user-facing side of IT, streamlining services and aligning IT processes with business objectives.

Remember when AdOps just meant trafficking ads and pulling reports? Those days are dead. The game has changed. While you're still wrestling with basic DSPs and SSPs, a new breed of AdOps leaders is orchestrating complex symphonies of AI, machine learning, and real-time bidding that make traditional programmatic ghosts of the past. By 2028, 81% of digital ad revenue will flow through these advanced systems - leaving traditional operators in the dust.

As IT environments become more complex, larger, and inundated with data, DevOps teams encounter significant obstacles that make efficient operations more challenging. The heightened complexity can create difficulties in maintaining visibility and control across hybrid IT ecosystems. Additionally, the substantial volume of data generated can overwhelm resource-constrained DevOps teams, making it difficult to extract valuable insights and make informed decisions.

The recently concluded Cisco Live’25 event in Amsterdam, gave a glimpse into Cisco’s strategy for the coming years, has the potential to join the $1 Trillion club, with its broad reach across Networking and Security. The recent market trends around Agentic AI are ripe to act as a catalyst for this.

Machine-generated data has exceeded human scalability, straining L1 Ops and Service Desk team resources. Fragmented data across tools, teams, and silos hinders situational awareness, delaying each action – from detection to remediation, making prevention increasingly unattainable. The latest BigPanda updates enhance ITOps and ITSM team efficiency throughout the incident lifecycle.

The ScienceLogic AI Platform and Skylar AI enable organizations to maintain the performance, health, and security of their IT environments. By providing comprehensive observability enhanced by unsupervised artificial intelligence, they turn data into actionable insights. With its unparalleled visibility and intelligence across complex multi-cloud, hybrid, and on-premises infrastructures, IT teams across the globe use ScienceLogic to proactively monitor, automate, and optimize operations.

Every new layer of infrastructure piles onto an already fragile web of interconnected challenges, making it painfully clear: traditional monitoring can’t keep up. You’re drowning in alerts, buried in data, and yet somehow still flying blind when real issues arise. More notifications don’t mean more insight, and more data doesn’t guarantee better decisions.