Operations | Monitoring | ITSM | DevOps | Cloud

You can infer from Jensen’s keynote speech that moving forward, AI will need to be evaluated by operational outcomes, rather than by speed or accuracy KPIs, such as resolution rates or proactive service restorations in ITSM. ITSM was designed to make complexity manageable by modifying user interfaces, workflows, and playbooks for automation across sprawling operational environments. Automation has improved speed, but never changed the fundamental model: humans being the decision engines.

Belinda Parmar, CEO of The Empathy Business, in a recent article with Financial Times, said, Customer service has undergone a significant transformation in recent years. Where success was once measured by resolution speed and cost efficiency, today’s customers expect far more. They seek personalized interactions, contextual awareness, and a genuine human touch, delivered alongside fast, reliable support.

Over the past decade, customer expectations in retail have completely changed. What began as a basic need for convenience has now become a demand for seamless, personalized, and real-time experiences across every touchpoint. And if you are a retail leader, you would have probably witnessed this shift through distinct phases. While Omnichannel 1.0 was focused on showing up across platforms, Omnichannel 2.0 prioritized consistency and integration.

Every customer lost costs telecom providers five to seven times more than keeping an existing one. The industry experiences 15-25% annual churn rates, resulting in billions of dollars in lost revenue, as competitors readily absorb these dissatisfied customers. Warning signs typically manifest before departure, but traditional detection methods often identify them too late, after customers have already decided to switch providers.

Operational inefficiencies are costing enterprises up to 30% of their revenue every year. As margins reduce and operational excellence decides who leads and who falls behind, this kind of waste is no longer sustainable. With digital transformation accelerating across industries, businesses can no longer afford inefficiencies. As market dynamics shift overnight, customer expectations evolve in real time, and operational models that once delivered results can quickly turn into liabilities.

The automation paradox: Why are so many enterprises drowning in the very technology meant to save them? For years, enterprise leaders have chased the promise of automation. Millions have been invested in tools like Robotic Process Automation (RPA), hoping to unlock a new era of efficiency. However, what was once considered the highest level of agility has become a maze of fragmented systems.

Digital advertising is experiencing a shift similar to manufacturing's industrial revolution. AI is automating routine tasks, freeing up human teams for higher-level strategic work, moving us from manual campaign management to automated systems where humans design the strategy rather than execute every detail. This represents the biggest operational change since programmatic advertising began.

The days of passive browsing are over. Welcome to the era where every scroll, swipe, and stream becomes a potential shopping opportunity. Industry estimates suggest that the social and live commerce market, where browsing, discovery, and purchasing converge within a single platform, could surpass $1.2 trillion by 2025, underscoring the scale of this shift and the urgency for brands, especially B2C, to adapt.