Promoting operational efficiency through data-driven insights

Credit: DELL technologies

The airport industry is no newcomer to the world of business analytics or the collection of data. But with the advent of ubiquitous camera systems and new advances in artificial intelligence (AI), video analytics is making travelling by air safer, smarter, cheaper, and more profitable. Computer Vision analytics has moved from the backroom to the forefront of the airport industry, providing real-time forecasting methodologies, consumer insight and a means for seamless, sustainable mobility.

The technology has shifted from the Data Science Lab and into the hands of airport application users and commercial pressures have reduced the cost of analytic adoption to become part of the real-world airport toolkit.

The data is there. The challenge is using it effectively with data-driven technologies that can make a positive impact to the passenger experience. This in turn can lead to greater efficiencies and to a more sustainable mobility.

If you are investing in technology solutions and workloads and want answers to simple questions such as:

• What do I need to make this work properly?
• Will the infrastructure cope?
• How do I size my platform needs?
• Have the data dependencies been validated across all workloads?
• How do I minimise risk?

Then, in this is not-to-be-missed webinar. We will be discussing some of the following considerations:

The intelligent edge – from product to platform

With so many physical devices getting connected and the wide variety of interfaces and connectivity requirements, how do airports leverage those investments over time?

Ensuring that solutions have the flexibility to support a wide range of potential connectivity scenarios for additional applications and services in the future will maximise the investment. Transforming product investments into platforms is an important vector of operational efficiency, especially over the lifecycle of a deployment.

Silos of operation

Organisations can inadvertently create fragmented data silos by purchasing point solutions for specific use cases. While this may improve some processes, it fails to capture the whole picture. Bringing together the right combination of technologies and workflows that are specific to the airport industry requires a tailored, enterprise-integrated approach. One aspect we see often is the need for smart procurement – coordinating user needs across the airport, rather than picking up point solutions that operate in silos with the result of creating unforeseen needs for integration down the line.

Validation

Like the proverbial saying “location, location, location” when searching for real estate, computer vision workloads require “validation, validation, validation”.

The validation process is often overlooked, especially when point solutions are deployed within a larger overall environment. But validating computer vision solutions for hardware and software performance within the customer environment can be complex and time consuming. Lab-validated solutions can help reduce deployment risk, increase system reliability, and hence reduce overall support costs. A proactive approach to validation allows airports to design a solution that is seamless and that can scale to meet future requirements.

Proper validation is as important as peer review in other professional fields of development – it is more trustworthy when the validating party is not connected with the development of the solution, hence Dell Technologies Labs provide validation across the industry and yet it produces no CCTV, Internet of Things (IoT) or Command & Control software of its own. Independent testing and validation can provide a Trust Platform which benchmarks and acid-test software developer claims for the benefit of all. Solutions do not work because a vendor says they work; they work because they have been third party validated as part of a Trust Platform.

Scalability

Data at the edge is growing at a staggering rate. A single twin-engine Boeing 737 aircraft generates 333 GB of data per minute per engine¹. With all that data comes a need for computer systems at the edge that can translate data quickly into insights rather than having to send it to the cloud or data centre. Moving data for the sake of it introduces latency. Processing and storing data at the edge eliminates latency and connectivity challenges while improving security.

Security

Securing devices, data, and infrastructure in an increasingly complex safety and security and edge landscape is essential to protecting airports. Airports need to ensure their systems and infrastructure are robust to reduce cyber-security risks.

Please do join Dell Technologies and NVIDIA on this webinar to see how airports can benefit from an open and scalable infrastructure, designed to deliver results from day one. Our full orchestration of intelligent video, edge, compute, storage, networking, analytics, and cloud technologies deliver an end-to-end workflow, enabling organisations to focus on what matters most: the passenger.

And as your business needs change, you will learn how we can help you transform your organisation with data-driven insights that empower and protect your passengers and property, maximise revenue, and drive operational efficiencies while minimising risk.

Reference:

(1) Industry Week – How the IoT Data Tsunami Is Driving Manufacturing Innovation