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Orchestrating Intelligence: Creating the Smart Enterprise with Vantiq
Technology Category
- Infrastructure as a Service (IaaS) - Private Cloud
- Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries
- Cement
- Equipment & Machinery
Use Cases
- Computer Vision
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Challenge
In the modern digital era, enterprises and military organizations are facing the challenge of integrating and orchestrating vast amounts of data from various sources such as sensors, computer vision, wearable devices, and other streaming data sources. This data, if properly harnessed, can create situational awareness, improve decision-making, and enable intelligent automation. However, the challenges of interoperability, resiliency, and complexity often hinder the effective utilization of this data. Furthermore, the use of Generative AI and IoT devices often results in data that only ends up on a dashboard, which according to McKinsey, is a sign of failure. The challenge, therefore, is to turn this data into actionable insights that can trigger comprehensive business processes and workflows.
The Customer
Bimernet
About The Customer
The customer in this case study is any enterprise or military organization that is looking to harness the power of IoT and AI to improve their decision-making processes and enable intelligent automation. These organizations are likely dealing with vast amounts of data from various sources and are facing challenges in terms of interoperability, resiliency, and complexity. They are looking for a solution that can help them turn their data into actionable insights that can trigger comprehensive business processes and workflows. They are also interested in solutions that are scalable, secure, and performant, and that can be developed and deployed quickly.
The Solution
Vantiq provides a low-code platform that enables the creation of real-time distributed software applications. These applications can ingest data from various sources, creating situational awareness and enabling intelligent automation. The platform's real-time event-driven architecture (EDA) is scalable, can be distributed edge-to-cloud, and is highly flexible and agile. This empowers organizations to confidently meet the challenges of interoperability, resiliency, and complexity. Furthermore, Vantiq allows the combination of real-time data with the use of large language models (LLMs) to create contextually relevant, situationally aware, and personalized interactions. The platform also enables the partitioning of applications across any number of nodes, whether public cloud, private cloud, or edge devices. This allows for the analysis of data when and where it occurs, making real-time applications secure, scalable, and performant. With powerful low-code tools and abstractions across the entire application lifecycle, Vantiq applications can be developed fast, deployed fast, and changed on the fly.
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