Internet of Things (IoT) is expected to connect more than 30 billion devices by 2020. This means IoT is a tremendous opportunity for organizations to reshape and generate brand new business models and address the current challenges and processes of automation and digitization.
Most of the data generated by IoT devices is unstructured data. Conventional platforms and databases simply cannot aggregate, store, process, and ‘normalize’ this data in an efficient manner. Newer and more data-agnostic platforms are needed.
When designing IoT projects and solutions, content and business goals must be determined in the first phase. In a variety of industries, organizations are increasingly using IoT to implement new business models, operate more efficiently, improve decision-making process and increase their business value. They can also better service their customers and they can engage more efficiently in supply chain.
• Analyses of your business challenges. • IoT Strategy and new business processes.
• Planning, integration and implementation of IoT environment tailored to your needs.
• Deployment, management and integration of data and information systems.
• Creation of data environment for the needs of AI, machine learning and other analytical processes.
• Optimize your operational and business decision-making with real-time data analysis.
Our solution will allow you to reach competitive edge both in operational and analytical environments because they excel in performance.
At CRMT, we have the appropriate knowledge, experience and competencies to handle big data systems and are a competent partner in consulting and services and in launching various IoT projects.
High availability and scalability are a cornerstone for today’s demanding operational and analytical requirements
Your data platform should not limit your data initiatives but support you with all emerging technologies like real-time streaming, AI or centralized storage for your container applications.
Simple data access and providing data scientists the tools they need are crucial for the successful implementation of advanced analytics at scale.
To prevent cloud vendor lock-in it is important that you select the appropriate data technologies that support not only open APIs but also enables you seamless data migrations between clouds or on-premise environments.
Modern data platforms are reducing complexities of data movement by supporting policy-based data tiering directly in the platform.
Telecommunications companies have major opportunities to use IoT for creating new business models, based on data-driven services.
Using IoT and relevant inbound data from external sources in energy systems, enables significant savings in energy consumption, far all involved .
IoT solutions in manufacturing enable process optimization, increased performance, efficiency, and productivity
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