Data Enablement Data-driven IoT 
CIO Business Intelligence
APRIL 12, 2022
That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. Democratization of data.
Cloudera
AUGUST 12, 2021
In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.
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CIO Business Intelligence
AUGUST 19, 2024
AgTech startup SupPlant is working to tackle these challenges through innovative AI-driven solutions. The company’s mission is to provide farmers with real-time insights derived from plant data, enabling them to optimize water usage, improve crop yields, and adapt to changing climatic conditions. The database manages 1.5
CIO Business Intelligence
MAY 8, 2024
In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.
datapine
JULY 17, 2019
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?
Smart Data Collective
AUGUST 14, 2019
The healthcare sector is heavily dependent on advances in big data. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare. Big data analytics: solutions to the industry challenges. Big data capturing.
Cloudera
AUGUST 3, 2021
In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Leveraging data where it lies.
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