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Updates to SmartCow's FleetTrackr Enhance Scalability through AIoT

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Let’s talk about the Artificial Intelligence of Things (AIoT) in relation to SmartCow, a 2016-founded AI engineering company with a focus on growing an AIoT ecosystem that simplifies and improves both living and working conditions for individuals and organizations the world over.

First, the long-story-short of AIoT? Well, it represents the combination of AI tech and IoT infrastructure. AIoT-powered solutions are essentially designed to make IoT operations more efficient with enhanced intelligence; improving human-machine interactions, further developing analytical and data management capabilities, and so on. On paper, this is a great approach because the lifeblood of IoT is connectivity, so embedding AI into connected infrastructure components (e.g. chipsets, commercial devices, industrial systems and software, etc.) holds great potential for those able to implement AIoT responsibly. AIoT applications include (but are, by no means, limited to) AI decision-as-a-service tool for marketing and HR, real-time medical data collection via wearable devices for healthcare, and collaborative robots (or “cobots”) completing production. Additionally, there is AIoT potential for assembly and packaging tasks in manufacturing, autonomous delivery robotics and software-defined vehicles (SDVs), smart home systems for customized support on a personal level, and smart city developments like connected traffic safety monitoring, smart streetlights and sustainable energy grids.

Notably, there’s also hybrid, cloud-based and edge-based AIoT, which happen to be pertinent to the following news:

Since SmartCow is already adept at creating rugged AI edge devices, AIoT platforms and specialized software for unique use cases – smart retail, farming, you name it – the company has now officially introduced a brand-new update for FleetTrackr, SmartCow’s robust management platform for seamless over-the-air (OTA) device provisioning, monitoring and updates.

For context, FleetTrackr already makes simpler the deployment and centralized management of edge AI pipelines through a hybrid-cloud service. It empowers teams with 5G connectivity monitoring, flexibility for cloud and on-prem environments, 24/7 device management and more. Now, with updates aimed what SmartCow defines as “enhanced scalability and improved UI design,” users get even more bang for their buck when it comes to managing devices completely – all from a unified control panel, strengthened by AIoT.

Pooja Venkatesh, Product Manager at SmartCow, stated that the new FleetTrackr update “is crucial for large-scale projects” and how “fleet management solutions like SmartCow’s greatly support organizations’ abilities to digitally transform their business operations, and FleetTrackr is on the frontlines of this endeavor via response AIoT device management efficiencies.”

Moreover, SmartCow has set up FleetTrackr so it can now:

  • Support up to one million devices, upgraded scalability-wise.
  • Update schedule routines, track performance and offer timely notifications.
  • Allow users to view all device details at a glance with flexible grouping, apply tags and monitor applications for streamlined fleet management.

Also worth noting – FleetTrackr currently integrates with SmartCow’s other product lines; edge nodes, AI cameras, cyber-physical systems, engineering kits, etc. Plus, SmartCow is a member of the NVIDIA Metropolis and NVIDIA Jetson partner ecosystems as well, further proving its commitments to optimizing and elevating AIoT solutions.




Edited by Greg Tavarez
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