How to drive the use of AI-enabled video across your organisation

While advances in AI have been capturing imaginations across the world, proven, real-world applications for the technology are far fewer.

AI-enabled video, however, has been making steady inroads in sectors such as manufacturing, retail and smart cities, as recent research from Hanwha Vision has confirmed.

This reveals that nearly one-third of business leaders are looking at video cameras with AI as a way to improve profitability, cost control, and operational efficiency. To put that in perspective, that’s almost double the number of leaders considering automation and robotics.

Yet, enthusiasm for AI-enabled video technology is only part of the journey towards implementation. A few barriers need to be overcome for organisations to truly embrace AI-enabled video. These include:

  1. The perceived need for training in the technology and its implementation.
  2. Cybersecurity implications.
  3. The maturity of the technology.
  4. Uncertainty over return on investment (ROI).
  5. Management buy-in.

Luckily, these barriers can be easily overcome. Here are four tips for business leaders looking to drive the adoption of AI video solutions across their organisations.

1. Knowledge sharing will drive adoption

AI in video is more valuable in an organisation when every stakeholder is informed and on board with its uses and benefits and expectations are aligned. As the original custodians of video technology, this is where security leaders can step up and educate their operational counterparts who may be exploring AI in video to improve processes.

Likewise, as those with the most experience in AI-enabled video technology, installers

and integrators are uniquely placed to educate users. They can make significant contributions to the wider adoption of AI-enabled video by educating users on its capabilities, affordability, the importance of responsible use, and how to pick a reputable manufacturer. This will be essential if AI-enabled video is to advance with buy-in and trust.

2. Align technology with C-suite objectives

Cross-collaboration with security, operations, and other departments may uncover additional opportunities where AI-enabled video can significantly benefit the business. Aligning this with business objectives set by the C-suite makes it easier to establish ROI and gain the confidence and support of senior executives. Indeed, those seeking to adopt AI video across their organisations should leverage the considerable and growing enthusiasm shown by the C-suite for AI within the workplace. To align with this eagerness, security teams should work with senior executives on a strategy for AI-enabled video that sets clear expectations and success indicators.

3. Build trust in AI

A major challenge for leaders wishing to implement AI in their organisations is trust in the technology and its capabilities. In response, a balance is required between regulating the use of technology to ensure it is trustworthy and protects individuals, and encouraging innovations that give rise to more applications where AI can deliver real benefits.

To achieve this balance, senior leaders must work to build trust in AI and technology itself within their organisations. They can do so by implementing responsible practices and partnering with reputable manufacturers who prioritise cybersecurity, responsible use, and ethical supply chains.

Organisations could go further and consider appointing an AI officer to evangelise for AI in video and act as a single point of accountability for the technology. This might help alleviate the concerns of employees, customers and suppliers, as well as identify any potential risks over its use – a key driver behind the European Union’s ‘AI Act’, which passed into law in late 2023 and is the first legislation of its kind.

4. Seek out innovation and partner with experts

Security and operations professionals should remain informed of the evolving features and trends across AI-enabled video technology. They should work with a trusted industry leader, such as Hanwha Vision, to ensure they are up to date with the latest AI innovations. To that end, partnering with expert installers and manufacturers in the AI-enabled video space brings their considerable expertise and experience to an organisation, aiding implementation and ongoing knowledge sharing.

What’s more, given users cite cybersecurity fears as a potential barrier to the adoption of AI video, working with a reputable partner that puts privacy and cybersecurity at the core of product design will help build a resilient video system. Responsible AI camera manufacturers will demonstrate their dedication to cybersecurity in a number of ways, including readiness for the forthcoming NIS2 and CRA cybersecurity regulations. They will also be compliant with the National Defense Authorization Act (NDAA), which blacklists certain technology manufacturers in the USA, due to security and ethical concerns.

To find out how to successfully implement AI-enabled video technology in your organisation, read the full research report here.