AI-Empowered Analytics – Predicting vs Reacting

Operational data is power, but that power can only be fully realized if the data is delivered quickly,...

Operational data is power, but that power can only be fully realized if the data is delivered quickly, reliably, cost effectively, and in an easy-to-consume format. Predictive Analytics solutions enable that power by imbedding intelligence into the data collection and visualization processes. AI-enabled features that include:

Endpoint/Edge Intelligence:

AI algorithms embedded into the systems, devices, and processes that generate critical data.

Versatile Connectivity:

Connectivity that is protocol agnostic (WiFi, 5G, LTE, CAT-M, NB-IoT, LoRa, etc.)

Intelligent Workflows:

AI enabled workflows that monitor and control the collection, analysis, and dissemination of operational data.

Dynamic Visualization Engine:

Customizable KPI, drag-and-drop dashboards, single-pane-of glass observability, and automated reporting and alerts.

Organizational Challenges

Today’s operations are flooded with data generated by IoT devices, machines, network equipment, telematic devices, process workflows, etc. For many operations, the proliferation of data has outpaced their ability to effectively consume it. As a result, valuable insights often go undetected and/or under-utilized. Current challenges include:

Legacy data management solutions:

Continued reliance on data management solutions that were not designed to cope with data sources that have become increasingly complex and diverse. Those legacy solutions are typically static in nature, siloed in architecture, and protocol limited.

After-the-fact data:

Competitive advantage requires knowledge of what is happening now and insights into what may happen in the future. Many operations are limited to analysis of data that is no longer indicative of live business or operational conditions.

Cumbersome visualization:

Different operational stakeholders require different views of data. Many are hampered by visualization tools that cannot be quickly customized to present the types of data required in formats that can be easily consumed.

AI-Empowered Analytics

AI-Empowered Analytics

Plasma’s Predictive Analytics solution utilizes core endpoint and edge AI technologies that enable operations to fully capitalize on the massive amounts of data that they produce. Next generation features include:

Real-Time Data Ingestion:

Seamless and secure ingestion of data from a wide variety of devices, processes, sales tools, ERP systems, and machinery.

Asset-Centric Scalability:

Unlike legacy solutions, The Plasma solution can be deployed on multiple assets, individually and simultaneously, to enable asset-specific performance benchmarking, real-time data visualization, intelligent workflows, and more.

Visualization and Dashboarding:

A powerful visualization engine that enables real-time event management across individual assets within an asset ecosystem. Drag and drop, customizable, dashboards can be configured to visualize real-time asset data and to trigger actionable alerts.

Intelligent Workflows:

Embedding and training of intelligent workflows that are dynamic, automated, and locally managed. AI-enabled workflows that learn and self-adjust to keep processes finely tuned for maximum efficiency.

Operational Benefits

Predictive insights optimized and visualized.