Manufacturers use Anzo to integrate siloed data into enterprise-scale knowledge graphs, enabling connectedness and interoperability across the end to end R&D, manufacturing, and product lifecycle to power Digital Twin, IoT, smart manufacturing, Industry 4.0, and related digital transformation initiatives.
Digital Transformation trends such as the Internet of Things (IoT), Smart Manufacturing, Industry 4.0, Connected Enterprise, Digital Twin, and Digital Thread promise to achieve unprecedented levels of automation and autonomy.
Interoperability of components, devices, and systems is critical to successful digital transformation. Without it, organizations will continue to spend precious resources on costly, ineffective, and brittle data integration and the full value of automation will not be achieved. In other words, the ability to locate, understand, access, integrate and trust data is a key enabler of Digital Transformation.
This roundtable will discuss the importance of data interoperability, key standards that support it, and the technologies and methodologies that enable organizations to realize the full value of Digital Transformation.
Integrate real time sensor and machine data with other sources for applications such as advanced analytics, predictive maintenance and AI/ML
Maximize data-driven efficiencies and automation, fully leveraging key technologies such as Digital Twin and Digital Thread
Analyze and act based on a complete picture of your supply chain, drawn from real-time data, historical supplier performance, global risk assessments and more
Integrate customer data drawn from diverse and complex sources to help anticipate customer needs, personalize service and expand customer relationships
The sheer difficulty of Internet of Things integrations presents issues for even the most accomplished data integration platforms, including modern data fabrics predicated on harmonizing data in knowledge graphs for inter-system interoperability.
Anzo is the software platform that provides the data discovery and integration layer critical for Industry 4.0 success, by empowering users to find and understand data drawn from your organization’s entire data landscape, on demand.
Join Principal Consultant and Industry 4.0 expert Sam Chance to discover how semantics and graph technology provides the future-proof data integration essential to integrate real-time sensor and machine data with other data sources to make advanced analytics, AI/ML and more an exciting new reality in your organization.