Harnessing Artificial Intelligence for Safety and Security
Wed, 22 Nov 2023 00:17:57 -0000
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In the rapidly evolving landscape of technology, we find ourselves on the brink of a major technological leap with the integration of artificial intelligence (AI) into our daily lives. The potential impact of AI on the global economy is staggering, with forecasts predicting a whopping $13 trillion contribution. While the idea of AI isn't entirely new in the security sector which has previously employed analytics to monitor and report pixel changes in CCTV footage, the integration of AI technologies such as machine and deep learning has opened up a world of possibilities. One particularly rich source of data that organizations are eager to harness is video data, which is pivotal in a variety of use cases including operational improvements for retail, marketing strategies, and the enhancement of overall customer experiences.
Industries across the board are exploring AI's ability to enhance business efficiency, underscored by a whopping 63% of enterprise clients considering their security data as mission critical. That said, the success of AI deployments hinges on the collection and storage of data. AI models thrive on large, diverse datasets to achieve effectiveness and accuracy. For instance, when analyzing traffic patterns within a city, having access to comprehensive data spanning multiple seasons allows for more accurate planning. This necessity has led to the emergence of exceptionally large storage volumes to cater to AI's insatiable appetite for data.
A considerable portion of data – approximately 80% – collected by organizations is unstructured, including video data. Data scientists are faced with the arduous task of mapping this unstructured data into their models, thanks in part to the fragmented nature of security solutions. Shockingly, over 79% of a data scientists’ time is consumed by data wrangling and collection rather than actual data analysis due to siloed data storage. Complex scenarios involving thousands of cameras pointed at different targets further complicate the application of AI models to this data.
Recent discussions in the field of AI have introduced the concept of ‘Data Fuzion,’ which underscores the importance of consolidating and harmonizing data, overcoming the current infrastructure's obstacles, and making data more accessible and usable for data science applications in the security industry. There is a significant divide between the potential for data science solutions to drive business outcomes and the actual implementation, largely attributed to – as previously mentioned – the fragmented, siloed nature of data storage and the scarcity of in-house data science expertise.
The AI solutions available today in the security domain often come as black box offerings with pre-programmed models, however end-users are increasingly seeking low- or no-code AI tools that allow them to tailor and modify models to meet their specific organizational needs. This shift enables organizations to fine-tune AI to their precise requirements, further optimizing business outcomes. Additionally, the rise of cloud computing has presented budgetary challenges as organizations are increasingly paying for data access, leading to a trend of cloud repatriation – moving data back to on-premises environments to better manage costs and reduce latency in real-time applications.
AI is transforming the way organizations protect not only their external security but also their internal data. Dell Technologies, for example, offers a solution known as Ransomware Defender within its unstructured data offerings, an AI-based detection tool which identifies anomalies and takes action when malicious actors attempt to encrypt or delete data by modeling typical behaviors and sounding alarms when suspicious activities occur. Check out the Dell Technologies cyber security solution page for more information.
To fully harness the power of AI and navigate these complex data landscapes, organizations are turning to single-volume unstructured data solutions that embody the concept of ‘Data Fuzion.’ Dell Technologies Unstructured Data Solutions, with their petabyte-scale single-volume architecture, offer not only the ability to support this burgeoning workload but also robust cyber protection and multi-cloud capabilities. In this way, organizations can chart a seamless path towards AI adoption while ensuring data-driven security and efficiency. Visit the Dell Technologies PowerScale solutions page to learn more.
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Authors: Mordekhay Shushan | Safety and Security Solution Architect & Brian Stonge | Business Development Manager, Video Safety and Security