DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Several years ago, Humana Inc. embarked on a multifaceted program to refocus its business more directly on the consumers of its health benefits plans—its corporate customers and their employees. The ...

Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

Predictive modeling technology is capable of sifting through massive data sets and uncovering the patterns and trends that correlate the target data elements to some outcome(s) of interest. Paul ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

In mission-driven organizations—whether leading a national non-profit or scaling an advocacy campaign—the most precious resource isn’t funding. It’s focus. Every moment spent chasing the wrong lead ...

Today, most of the organizations are recognizing the advantages and profitability of outsourcing data analytics services. Sometimes, lack of skilled human resources and expertise drives the companies ...