AI Agility

The convergence of AI and edge computing will enable real-time data processing and decision-making, transforming business models and creating new opportunities. The increased adoption of AI presents opportunities and challenges. Navigating these will help businesses leverage advanced tools to maintain a competitive edge.

1 “The convergence of artificial intelligence (AI) and edge computing is unlocking new possibilities for real-time data processing and decision-making.”

Massimo Peselli
Chief Revenue Officer,
Global Enterprise & Public Sector

Verizon Business

Industries such as manufacturing, distribution, retail, and healthcare are leveraging these technologies to enhance operational efficiency, improve customer experiences, and drive innovation. The ability to process vast amounts of data at the edge, combined with AI-driven insights, is transforming traditional business models and creating new opportunities for value creation.

2

“In the increasingly competitive retail landscape of 2025, AI-powered hyper-personalization will be key to capturing and retaining consumer attention. By streamlining the customer journey and removing obstacles, retailers can differentiate themselves and thrive.”

Katie Riddle
Global Retail Strategy Lead

Verizon Business

AI-powered systems will anticipate customer needs in real-time, delivering hyper-personalized promotions and product recommendations directly to shoppers' mobile devices while they browse physical stores. Inventory management will be autonomously optimized through predictive analytics, ensuring maximum product availability and preventing stockouts.

3 “AI will revolutionize manufacturing and logistics, boosting efficiency and competitiveness, by merging OT with IT and leveraging real-time data for new levels of operational excellence.”

Jason Plent
Senior Partner for 5G Acceleration

Verizon Business

Manufacturing will transform by integrating automation and AI, boosting competitiveness. Historically slow to adopt new tech, manufacturers will now invest heavily in merging Operational Technology (OT) with Information Technology (IT). Wireless systems and edge servers will secure and process data in real time, essential for effective automation planning.

Logistics will also embrace these technologies, with data becoming crucial due to high volumes and low margins. Automation will enhance speed and margins, while AI will optimize order management, truck guidance, and scheduling. This will enable every supply chain stage to be meticulously planned for efficiency.

4

“The increasing reliance on AI technologies will have a substantial impact on both network infrastructure and energy consumption.”

Sanjiv Gossain
Vice President & Head of EMEA

Verizon Business

The growing demand for AI applications, particularly those that require real-time data processing and high-bandwidth communication (such as smart factories, ports, and retail stores), will place a significant strain on existing network infrastructure. Enhancing the energy efficiency of AI is not only vital for environmental sustainability but also for the economic viability of AI applications, particularly in energy-constrained environments.

To address these challenges, we may see increased demand for edge computing, where data processing and analysis occur closer to the source of data generation.

5

“It will be increasingly important to remove friction points that come with managing complex IT systems and networks, especially as enterprises begin taking on massive data workloads for AI and Gen AI applications.”

Debika Bhattacharya
Chief Technology Solutions Officer

Verizon Business

In general, IT teams want easy-to-use self-service tools, seamless modularity, and comprehensive network visibility with data insights so that they can get to their desired outcomes quickly. By integrating these items with more API-driven programmability and automation in the customer's network, we can help streamline the data processes that will underpin generative AI and other transformational technologies.