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Adapdix Introduces Subsidized Program to Tackle Data Scientist Shortage
Adapdix’s customer-centric EdgeOps platform increases the uptime of equipment, reduces supply chain and logistics costs, and increases remote worker productivity.
FREMONT, CA: Adapdix, the industry leader in Edge Automation software with its leading AI-Powered Automation technology, announced a subsidized program to provide its customers with access to qualified data scientists to help overcome the worldwide shortage of skilled staff required for the implementation of Artificial Intelligence (AI) and Machine Learning (ML).
Adapdix utilizes its existing group of skilled employees and advanced AI/ML edge modeling software to meet the robust customer demand for AI/ML projects. This much-needed resource is then made available to Adapdix customers at a subsidized rate of $5 per hour. No long-term commitment is required, meaning that anyone involved in an active proof of concept, pilot, or production deployment can benefit from the program.
“To help meet customer demand despite these skill shortages, we at Adapdix have launched a new program. This taps into the talent of Adapdix employees and an ecosystem of service partners that we’ve evaluated, trained, and certified to provide value,” said Anthony Hill, CEO at Adapdix. “This program involves only skilled, well-qualified people that work together with Adapdix employees, which ensures work quality remains high. By offering subsidized EdgeOps experts, we intend to help companies accelerate their digital transformation and raise their implementation of AI/ML to the next level.”
Adapdix recently announced EdgeOpsDataMesh, the first product of its next-generation AI-powered automation software platform EdgeOps. Adapdix software is used by many customers throughout the industry, including two of the top five semiconductor manufacturers, to improve their manufacturing performance. EdgeOpsDataMesh overcomes the typical hurdles of real-time operational data management by performing data ingestion, pre-processing, and edge inferencing in millisecond timeframes, thus enabling real-time analysis to improve operational efficiency and reduce downtime of high-value assets.