The Internet of Things (IoT) offers data, visibility and opportunities that didn’t even exist a decade ago. From manufacturing to transportation, organizations in nearly every industry are using IoT-based solutions to drive new levels of operational efficiency. Data Center Dynamics brought this information to us in their article, “How data quality enhancements at the edge make IoT projects more profitable.”
The opportunities of IoT solutions are limitless, however some companies are still struggling with some challenges when moving from pilots to large-scale deployment. Getting this right the first time around is important. Deploying effective machine learning-enabled IoT solutions is the answer.
Data quality will influence the success and profitability of many applications. Trying to roll out IoT projects with insufficient, missing or error-prone data often leads to inaccurate machine learning models, stagnant decision-making and poor return on investment. Data is of high quality when it satisfies the requirements of its intended use.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.