Computer Vision Briefing

Computer vision, analytics and AI technologies have enhanced customer experience (CX) and employee experience (EX) across diverse industries. In retail, these tools enable personalized product recommendations and streamlined checkout processes. In healthcare and life sciences, they support diagnostic accuracy and drug discovery. In manufacturing, computer vision enhances quality control. In the hospitality and entertainment industries, these tools optimize guest services, ultimately leading to improved CX and EX through efficiency and personalization.


WWT Digital Advisors will share how organizations are using computer vision to address talent shortages, automate operations and address ever-rising customer expectations to provide fresh experiences that deliver the unexpected. Common applications include:

  • Predictive maintenance: AI and computer vision are used to monitor and predict equipment maintenance needs in manufacturing, healthcare and industrial settings, ensuring smooth operations and minimizing downtime of critical equipment.
  • Quality control and inspection: Computer vision is employed for quality control and inspection processes, ensuring product quality and consistency, which is crucial in industries like manufacturing and healthcare.
  • Supply chain optimization: AI and computer vision assist in optimizing supply chains by providing real-time visibility, demand forecasting and inventory management, thereby enhancing operational efficiency.
  • Safety and security: Computer vision and AI are used for surveillance, threat detection and access control, ensuring safety and security in various environments, such as airports, critical infrastructure and smart cities.
  • Predictive analytics: Organizations employ AI for predictive analytics to anticipate customer behavior, market trends and operational needs, allowing for more proactive and intelligent decision-making.
  • Remote monitoring and telehealth: In healthcare, AI and computer vision enable remote patient monitoring, diagnostics and telehealth services, helping close talent gaps and improve patient care.
  • Data insights and decision-making: AI tools analyze vast amounts of data to provide actionable insights that support data-driven decision-making and address customer expectations for informed choices.
  • Energy efficiency: AI and computer vision can help optimize energy consumption in industries and facilities, reducing operational costs and meeting sustainability expectations.

Goals & objectives

In this briefing, WWT will review your organization's needs for computer vision, data analytics and data visualization scenarios to:

  • Get the right people together to ensure alignment and uncover opportunities for transformation, optimization, growth and sustainability.
  • Gain the knowledge needed to empathize with impacted customers or employees, enabling us to create level-of-success criteria that inform actionable roadmaps and plans.
  • Understand where WWT can assist with overall strategy development and technical enablement.
  • Discuss industry trends and best practices based on our extensive real-world experience with computer vision
  • Align your teams behind specific outcomes and prioritize next steps to accelerate the realization of desired outcomes.


  • Virtualization: VMware, Red Hat, SUSE
  • Hardware: Intel, NVIDIA, Dell, Hewlett Packard Enterprise, Supermicro
  • Hyperscalers: AWS, Microsoft Azure, Google Cloud
  • Detections, data analytics and visualization: EVERYANGLE, Plainsight, Megh Computing, WaitTime

What is a Briefing? 

A scheduled event with a WWT subject matter expert, typically via a virtual meeting, where our experts ask questions, listen and present on specific topics, technologies, capabilities or market trends. Your attendees are allotted time for Q&A to pose questions specific to your organization. Delivered free of charge. 

Who should attend? 

Customer Experience leaders with responsibilities for fan experience, patient experience, campus experience; COOs and CTOs; Marketing and Digital Experience leaders; Facilities Management, Concessions and Venue Management; IT stakeholders for employee experience, unified communications and digital signage.