Industrial Internet of Things (IIoT) connects machines with information systems, business processes and people to enable end-to-end intelligent operations
Streaming analytics is the engine that turns machine data into actionable insights to drive operational intelligence
Platform solutions that adapt and innovate requisite information technologies for Operational Technology is a key to the success of IIoT
Realize the hidden value in your machine data today
In industrial control systems,
Traditional analytics frameworks based on passive query cannot effectively support continuous operations.
Intelligent operations require streaming actionable insights
Key requirements in industrial analytics include:
A broad set of technologies and domain expertise are required to properly design and build a system meeting these requirements. It will take large effort and time. A ready-to-deploy and easy-to-use analytics platform solution purposely built to meet these requirements is a game changer for IIoT implementations
Streaming analytics platform is central to intelligent industrial operations
Thingswise Streaming Analytics Platform is created as a turnkey solution to provide near-real-time streaming actionable analytics. It supports distributed analytics deployment across the Cloud, Edge and IoT Gateways for greater control over system and data. It is easy to set up, configure and maintain, all together making it an optimal solution for IIoT analytics across industrial sectors.
Purposely built to reduce IIoT development effort, risks, cost and time-to-value-creation
Flexible data processing flows for protocol adaptation, data normalization, policy-based validation/filtering, transformation and enrichment
Multi-modal statistical, complex event processing (CEP) and Machine-Learning analytic engines for parallel, serial and recursive streaming data analytics
Deployment across the Cloud, Edge and IoT Gateways
Declarative rules for data processing and analytics to avoid low-level programming and reduce human errors
Achieved by collaborative architecture
Security design, implementation and validation in accordance with the best practices
Rapid domain application development and system integration
Reduce effort, risk cost and time to value creation:
Powerful analytics made simple
If you want to
Choose Thingswise to get result and create value, quickly and cost-effectively
Contact us to learn how Thingswise Streaming Analytics Platform can enable usecases like follows and many more:
Act today, create value and transform your business for tomorrow
Request our Streaming Analytics whitepaper or leave your feedback here.
Thingswise was founded in Chicago in 2015. We bring together extensive experience in Enterprise Software, Cloud Computing, Big Data, Analytics, Security and Communication to build a new generation of Industrial IoT systems.
Dr. Lin brings 20+ years of broad technology and business experience from Intel, Sarvega, Lucent Technologies and Motorola to the company. Prior to founding the company, he was a chief technologist in the IoT Strategy and Technology Office at Intel. Dr. Lin co-chairs various technical groups for the Industrial Internet Consortium (IIC), the National Institute for Standards and Technology Cyber-Physical Systems Public Working Group, the Joint Task Group between Platform Industrie 4.0 and the Industrial Internet Consortium.
Dr. Lukichev has substantial software architecture and engineering expertise in such areas as network infrastructure, distributed computing, enterprise software, Big Data platforms, cloud services, and system security design. Before co-founding the company, he most recently was employed by Intel where he spent more than a decade at various software engineering positions.