Operations | Monitoring | ITSM | DevOps | Cloud

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.

Previously, I discussed the challenges of adopting AI in enterprises, focusing on middle managers’ concerns about its impact on their roles. In case you missed it, you can read it here: AI resistance isn’t where you expect it In this post, I’ll highlight the crucial steps for ensuring successful AI adoption. All business transformations are complex by nature because they change the organizational balance – that is, the equilibrium of power held among different leaders.

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.