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Retail Media Networks are no longer an experimental channel for digital advertisers. They have become an integral part of closed-loop marketing, enabling brands to leverage first-party consumer data for precise audience targeting. In 2025, US retail media ad spending is projected to reach approximately $62.4 billion, marking a significant increase from the previous year. This growth reflects the sector's continued momentum, with eMarketer expecting a 20% increase in allocations by U.S. advertisers.

Customer service has gone through a fundamental transformation in the last few years. What started as reactive support through call centers has evolved into AI-driven interactions designed for speed, efficiency, and personalization. According to McKinsey, integrating generative AI into customer care functions can drive productivity gains of 30-45%. Agentic AI is taking this further by automating entire workflows.

Agentic AI - the term has stirred much interest since being mentioned for the first time. And why not? The business world is still basking in the comfort, ease, and speed GenAI has brought since its democratization. Agentic AI promises to propel this leap in growth further. It promises more time freed up for strategic work, for finding new avenues of development, and a complete freedom from mundane work.

Not long ago, AI was largely experimental, but today it’s a strategic imperative. Enterprise AI adoption has surged to record levels, with over three-quarters of organizations now using AI in at least one function . In Deloitte’s latest global study, almost all organizations reported measurable ROI from AI, and 74% said their most advanced AI initiatives meet or exceed ROI expectations .

For decades, advertising has operated on a fundamental assumption - creative excellence alone drives business results. This principle, enshrined in industry awards, agency structures, and marketing departments worldwide, created a system where their ingenuity rather than revenue contribution judged campaigns. The most celebrated advertisements weren't necessarily the most effective; they were the most memorable.

As we move further into 2025, the distinction between digital transformation and AI transformation is blurring. According to Gartner, 33% of enterprise software applications will incorporate Agentic AI by 2028, signaling the rapid mainstream adoption of this technology. While digital transformation laid the groundwork for modernization, a new paradigm is emerging: Agentic AI. This revolutionary approach to artificial intelligence is reshaping how businesses operate, make decisions, and deliver value.

Business leaders face mounting pressure to deliver technological innovation while managing costs and maintaining security. The wrong partnership wastes resources and creates technical debt that hampers future growth. Effective digital engineering partnerships drive tangible business outcomes. They accelerate your time to market, enhance customer experiences, and create competitive advantages through technology.

Advertising-driven revenue models have become increasingly appealing to businesses across various sectors in recent years. This approach has gained significant traction among retailers, grocers, and commerce intermediaries seeking to diversify their income streams. However, the rapid evolution of these markets has often led to operations marked by manual interventions, disjointed systems, and fragmented data workflows.

The state of customer experience (CX) in the United States has reached a critical juncture. Findings from Forrester's 2024 US Customer Experience Index (CX Index) revealed a concerning trend: a significant decline in overall CX quality, marking the third consecutive year of deterioration. CX quality has reached an all-time low since 2016, with nearly 40% of brands experiencing a decline.

Given the current climate in the federal government, it’s critical that public sector IT leaders find innovative solutions to do more with less. That’s a real challenge for these leaders who must balance with current alert backlogs against their agency limited IT budget and resources. Everyday, more than a thousand alerts to track down and as response times are slowing and some incident managers are burning out.