The fusion of ever-multiplying IT, OT, asset-specific, and business systems with each other and novel technologies (like AI) is a significant challenge that every business is facing.
Despite decades of effort towards digital transformation, most organisations still have a fragmented mix of SaaS, hardware, legacy systems, and software; siloed, unintegrated, and piecemeal.
However, a cure to this now needs to be found, and fast.
The recent wave of AI developments means that businesses need to solve their integration, data latency, and legacy technology challenges, so that they can utilise AI’s power universally across their operations and solve the challenges that modern organisations are facing around productivity, efficiency, ESG – and a lot more. Fortunately, there is now an answer.
The Necessity of Integrated Real-Time Data, AI + IoT Platforms in Uniting Technology Ecosystems.
Industrial businesses face numerous hurdles that can impede efficiency and innovation:
- Fragmented Data Sources: Siloed data systems prevent a holistic view of operations, making it difficult to optimise processes and make informed decisions.
- Real-Time Challenges: Being able to analyse all collated data sources together to deliver metrics and insights to people (and interconnected systems) in the field, or to leverage AI in the moment to identify problems, spot optimisations, and then deliver on them via automation.
- Legacy Technologies + Processes: Legacy systems and traditional workflows can’t keep up with the demands of modern industrial operations and solutions, leading to inefficiencies and a stagnancy technology environment where new technology adoptions us challenging at best.
- High Costs + Complexity: Managing disparate technologies and integrating them to existing operations is often costly and complex, requiring significant time and resources.
Integrated real-time data, AI + IoT platforms can conquer these challenges, simply.
Advanced, all-in-one platforms, 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.
This technology is, fundamentally, a PaaS, IoT, AI, ETL, BI and integration platform all rolled into one; full of easy-to-use tools that can take you from deploying a real-time monitoring solution, through to a customised GenAI-driven application that you can use to improve any aspect of your business’ operations.
Why Invest in Integrated Platforms Now?
Digital teams are investing in integrated platforms for several compelling reasons:
- Seamless Integration: These platforms can connect with existing systems and data sources, breaking down silos and enabling a comprehensive, accurate view of operations.
- Real-Time Insights: Integrated platforms enable real-time data processing and analysis, providing immediate insights that drive better decision-making and operational agility.
- Custom AI + Machine Learning: You can use the platforms to train, trial, and deploy highly-customised AI models that know your business, operations, processes, goals – and more – intimately. It becomes a case of simply asking for optimisations or empowering it to intervene in processes to prevent harm, seize efficiencies, or guide personnel to improve results.
- Enhanced Efficiency: By automating processes and leveraging AI for predictive analytics, businesses can significantly improve operational efficiency and reduce downtime.
- Scalability + Flexibility: Integrated platforms are designed to scale with the business, allowing for incremental adoption and expansion as needs evolve.
- Custom Application Development: Fundamentally, these platforms give you all the tools needed to create real-time data and AI applications with custom workflow, process design, machine learning algorithm development, customisable GenAI, automation builder, interface design – and more – in a single place. Meaning you can integrate all your existing technologies and create a custom application that utilises all of them to deliver a single place to manage and improve operations (and results).
Case Study: Enhancing a Manufacturing Line.
Consider the example of a manufacturing line that faced challenges with equipment downtime and inefficient operations. By implementing an integrated solution, the digital team achieved remarkable results.
The Challenge.
The manufacturing line experienced frequent equipment failures and inefficiencies due to the inability to process real-time data and predict maintenance needs.
The Solution.
The digital team adopted Rayven, our integrated data, AI + IoT platform, that combined real-time data sources from various sensors to create a single source of truth, before applying AI to deliver predictive maintenance insights. Key features of the solution included:
- Real-Time Data Integration: The platform integrated data from legacy systems and new sensors, providing a unified view of the manufacturing line’s operations.
- AI-Powered Predictive Maintenance: AI analysed the data to predict equipment failures, enabling proactive maintenance and reducing downtime.
- Customisable Interfaces: The team could monitor performance metrics and receive actionable insights through customisable dashboards.
The Outcome.
The implementation led to significant improvements:
- Reduced Downtime: Predictive maintenance decreased equipment downtime by 25%.
- Increased Efficiency: Real-time data analysis and process automation improved overall operational efficiency by 20%.
- Cost Savings: The company saw a notable reduction in maintenance costs and improved resource utilisation.
Rayven: A Leading Next Generation Platform.
While there are several platform providers in the market, Rayven distinguishes itself through its end-to-end, easy-to-use, and highly-flexible technology and range of services:
- Complete Real-Time Data + AI Application Development Platform: Rayven’s platform provides everything needed to create and deploy custom real-time data and AI applications, meaning they can be designed to fit your business, assets, objectives, site, climate, process, personnel - and more - simply. Don’t settle for off-the-shelf software that won’t integrate and work with all your existing assets and technologies! Read on.
- End-to-End Development Services: Rayven supports businesses with comprehensive development services, ensuring smooth implementation and rapid deployment. Find out more.
- Customisable Generative AI: Businesses can train AI models on their specific data, enabling tailored recommendations and optimisations in real-time. See more.
- Legacy Technology Compatible: Rayven sits above all your existing technologies, uniting them and delivering all-new real-time data analysis and AI capabilities (among others). We minimise cost and risk. Discover integrations and data analysis.
- Scalable + Affordable: Rayven’s flexible pricing model allows businesses to pay only for what they use, support private cloud and on-premise deployments, and can be designed to make it a cost-effective solution that scales with needs as/when required. See pricing.
Investing in integrated real-time data, AI, and IoT platform can help industrial businesses find new efficiencies and innovate without having to reinvent what they do.
Rayven delivers an easy-to-use, codeless toolkit that anybody can use to integrate, ETL and analyse data in real-time; build custom workflows and automations; leverage Machine Learning and predictive analytics; create, train, and deploy custom LLMs bespoke to needs; and create the interfaces, alerts and reports that frontend users require to optimise, innovate and create.
Rayven can give you everything you need to succeed with your current and future technology challenges: speak to us now to find out more.