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How Digital Teams Can Build Custom Real-Time Data + AI Applications, Faster

Jared Oken, 03 June 2024
How Digital Teams Can Build Custom Real-Time Data + AI Applications, Faster

In the dynamic world of industrial operations, the ability to quickly develop and deploy custom applications that leverage real-time data and AI will be increasingly crucial.

Digital teams are often tasked with creating solutions that address operational challenges, optimise processes, and drive efficiency. This article explores how digital teams can overcome common obstacles and accelerate the development of custom real-time data and AI applications.

Obstacles to Building Custom Applications.

Despite the clear advantages of custom real-time data and AI applications, several obstacles can impede their development:

  • Data Silos + Lack of Integration: Many industrial businesses suffer from fragmented data systems that hinder the seamless flow of information. This makes it challenging to create applications that provide a holistic view of operations.
  • Unclear Path to Leveraging AI + Automation: Without a clear strategy for integrating AI and automation across various systems and processes, digital teams can struggle to maximise their potential.
  • High Costs + Resource Constraints: Developing custom applications can be expensive and resource-intensive, often requiring significant investment in time, money, and expertise.
  • Complex Operations + Unique Needs: Each business unit within an industrial enterprise may have different systems, data, and operational objectives, making it difficult to develop one-size-fits-all solutions.
  • Legacy Systems: Many industrial businesses rely on legacy systems that are not designed to support modern AI and automation technologies.

Strategies for Accelerating Application Development.

To overcome these obstacles and build custom applications faster, digital teams can employ several strategies:

  • Utilise Integrated Real-Time Data, AI + IoT Platforms: Platforms that offer seamless integration with existing systems and data sources can eliminate silos and provide a unified view of operations. This integration is crucial for developing applications that leverage real-time data effectively.
  • Adopt Customisable Solutions: Platforms that allow for rapid customisation and scalability enable digital teams to tailor applications to specific business needs without extensive development time.
  • Leverage Comprehensive Support Services: Access to end-to-end development support and resources can streamline the application development process, addressing technical challenges and accelerating deployment.
  • Focus on Scalability + Affordability: Solutions that are scalable and follow a pay-as-you-go model can reduce upfront costs and make it easier for businesses to invest in custom application development.
  • Ensure AI Is Included: By incorporating AI and Machine Learning that's easily trained and tailored to needs, digital teams can develop applications that provide predictive insights and deliver optimisations. Even if you're not going to use it first up, ensuring it's there will enable you to build future-proof applications.

Key Benefits of Accelerated Application Development.

Accelerating the development of custom real-time data and AI applications offers several significant benefits:

  • Speed-to-Market: Faster development cycles mean that businesses can quickly implement solutions that address their operational challenges, gaining a competitive edge.
  • Enhanced Operational Efficiency: Custom applications that integrate real-time data and AI can automate processes, optimise resource utilisation, and improve decision-making.
  • Improved Data Insights: By breaking down data silos and integrating various data sources, businesses can gain a comprehensive view of their operations, leading to more informed decisions and strategic planning.
  • Cost-Effective Solutions: Scalable and customisable platforms reduce the need for extensive development resources, making it more affordable to create and deploy custom applications.
  • Future-Proof Technology: Investing in flexible and adaptable platforms ensures that businesses can continue to innovate and scale their AI capabilities as their needs evolve.

Leveraging the Right Platform.

Choosing the right platform is essential for digital teams looking to accelerate their application development. An ideal platform should offer:

  • Seamless Integration: The ability to connect with any existing system, ensuring a unified and comprehensive view of operations.
  • Customisable AI + Automation: Tools that allow businesses to train AI models on their unique data, providing tailored recommendations and enabling automation.
  • Scalability + Flexibility: Solutions that can grow with the business, adapting to changing needs and reducing costs.
  • Comprehensive Support: End-to-end development services that provide the necessary resources and expertise to overcome technical challenges and ensure successful deployment.

Rayven’s integrated real-time data, AI + IoT platforms can conquer the multitude of common challenges businesses face when building custom applications.

All-in-one; they enable digital teams to easily integrate any and all of their data sources, analyse them in real-time, train and utilise automations and AI across all integrated technologies, and design front-end dashboards and interfaces for users - everything needed to create future-proof real-time data and AI applications.

Rayven delivers an easy-to-use, codeless toolkit that you can use to create applications that optimise, innovate, and drive ROI: speak to us now to find out more.

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