CloudFabrix, the inventor of Robotic Data Automation Fabric (RDAF), unifying Observability, AIOps and Automation announced its availability on self-service cfxCloud, a SaaS platform running in AWS. Patent pending RDAF simplifies and automates AIOps and Observability pipelines using Bots and Low code approach.
Enterprises have struggled to collaborate well around their data, which inhibits their ability to adapt and succeed with Digital Transformation, glean actionable insights or innovate. There is a realization that every AI problem is first a data problem. This is resulting in what Accenture calls the “Data Value Gap,” where 80% of time is spent in data preparation. According to Forrester 60-70% of collected data is unused due to data quality and 55% use manual approach and 50% see talent gap. Data is siloed and only 16% say they have agile data supply chains.
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Robotic Data Automation Fabric takes these challenges head on. Gartner has identified Data Fabric as the No.1 trend for I/O leaders in 2022 and No.3 trend in 2021. Data preparation and data quality challenge is handled with Data Integration and Data Automation, where data is transformed, enriched and contextualized. Skills Gap is handled with Low code 1000+ Data and AI Bots Marketplace. Partners and customers can build their own custom Bots and pipelines, or use existing pipelines. Data silos at the edge, data center and multi-cloud are addressed by low latency, streams-based Data Fabric which can ingest billions of real time events and messages. RDAF thus delivers integrated and enriched real time data to both operational and analytical workloads and use cases.
RDAF platform has multiple real-time data management use cases across verticals – Operational Support Systems (OSS) / Business Support Systems (BSS) for Telcos, MSP’s and BFSI and Healthcare Enterprises. Examples would include Customer 360, Machine data /IoT/Industrial IoT management, Operational Intelligence to predict customer churn, detect fraud, deliver personalized services, multi-tenant data privacy management, test data management, unifying observability, AIOps and Automation across Business and IT systems.