As we look at the current state of artificial intelligence (AI), it’s evident that the transformative power of this technology is reshaping industries across the board. For our Faith Group clients with complex technology across large campuses, AI is proving to be a game-changer, enhancing efficiency, security, and overall operational effectiveness.

The Current State of Artificial Intelligence (AI)

AI has evolved beyond the academic laboratories, becoming an integral part of various business strategies and products. Machine learning algorithms and advanced analytics are now empowering organizations to derive meaningful insights from massive datasets, enabling informed decision-making and predictive capabilities. This shift is particularly pronounced in industries where real-time information is paramount, such as airports, transit operators, industrial & manufacturing, and other large campuses.

AI Use-Cases for Complex Integrated Campuses

The integration of artificial intelligence (AI) into overall technology and data architecture has brought about a transformative shift on our clients’ campuses, providing innovative solutions that enhance security, streamline operations, and elevate the overall user experience.

One example use case includes bolstering physical and cyber security measures. Through AI-powered threat detection and prevention, systems analyze vast datasets in real-time, identifying anomalies and potential security threats before they escalate. The ability to recognize patterns from previous attack postures enables a proactive approach to security, fortifying defenses against evolving threats.

Biometric authentication, another application of AI, ensures secure access control within clients’ facilities and across their campuses. From fingerprint and facial recognition to iris scans, AI-driven biometric systems offer an accurate and efficient means of verifying individuals, significantly reducing the risk of unauthorized access. The utilization of AI extends to image recognition for identifying contraband and narcotics. By employing advanced algorithms, AI contributes to security efforts by enhancing the identification of prohibited items, thereby maintaining a safe and secure environment.

Surveillance and monitoring systems powered by AI provide an additional layer of security. By continuously analyzing video feeds, often described as Video Content Analytics. These systems can identify unusual activities, detect unauthorized access, and deliver real-time alerts to security personnel, ensuring a swift response to potential security threats. Similarly, AI-driven license plate recognition systems provide enhanced security and access control. Whether managing parking facilities or monitoring vehicle movement, these systems automate the identification process, contributing to a more secure and well-regulated environment.

Beyond security, AI plays a pivotal role in optimizing operational efficiency and overall client experience. Predictive maintenance, facilitated by AI algorithms, allows for the anticipation of and preparation for equipment failures. By analyzing data from sensors and equipment, AI can forecast potential issues, enabling timely maintenance interventions that prevent disruptions, reduce operational downtime, and forecast end of useful life. Client experience is also enhanced through AI applications. Predictive analytics anticipate passenger flows, enabling efficient resource allocation and minimizing congestion. This contributes to smoother transitions through various touchpoints throughout buildings, ultimately improving the overall user experience.

The Importance of Clean Data

The success of AI initiatives and broader digital transformation efforts is intricately tied to the quality and management of your business data. It’s crucial to underscore the significance of clean and accurate business data. According to a recent study by DataBricks, a staggering 95% of businesses cite the need to manage unstructured data as a problem for their business. This emphasizes the pervasive challenge of handling data in its raw and unorganized form. Furthermore, Forrester reports that an alarming 73% of company data goes unused for analytics and decision-making, indicating a significant gap in harnessing the full potential of available information.

In our data-driven landscape, the efficient utilization of resources is paramount. Gartner highlights that 22% of data management resources’ time is spent on data innovation and monetization. This statistic sheds light on the immense potential for organizations to extract additional value from their data by adopting innovative approaches. As we navigate the era of digital transformation, it’s imperative to leverage data not just for operational efficiency but also for strategic decision-making that propels your business forward.

Looking ahead, Gartner predicts that by 2025, 75% of data will be created at the edge, in decentralized locations. This shift underscores the need for robust data governance frameworks, which paves the way for structured and dynamic approach to distributing data across the organization. Clean and well-managed business data will be a linchpin in ensuring AI-enabled solutions can effectively harness the decentralized nature of data creation at the edge.

How We Can Help

As your consulting partner, we can assist you in developing and implementing strategies that not only manage data effectively but also capitalize on the untapped potential within your data repositories.

This includes services and solutions from early planning, request for proposal development, detailed integration architecture, and program building. Our broad range of technology expertise across industries enables a use-case-centric, phased approach to solutions which directly addresses problems within your specific environment.

As an example, we provide conceptual solution architectures (Figure 1) to serve as a framework as your organization grows, to effectively and responsibly adopt AI capabilities across your day-to-day operations and overall organization strategy.

When you are ready to start tackling your data challenges and begin preparing for AI, we are ready to leverage our industry-specific expertise to collaborate with you to create a plan that uses data as a strategic asset that propels your organization forward.


Mike Yanko
Secure Architecture Lead

Neil Mehta
Solutions Analyst