3 WAYS TO FINE-TUNE YOUR AI FOR CONTINUOUS PROCESS IMPROVEMENT

Getting up and running with artificial intelligence in your organization can be an exciting and even liberating experience. Suddenly, your infrastructure has more unity. Productivity and efficiency are through the roof. Errors have all but been eliminated. Profitability is skyrocketing. But then, over time, things start to level out. Suddenly, the numbers aren’t as impressive.…

5 HIGHLY IMPACTFUL, REAL-WORLD APPLICATIONS FOR INTELLIGENT AUTOMATION

Five use cases where intelligent automation can be applied

On paper, intelligent automation seems amazing. And in practice, when implemented properly and applied to the appropriate processes and workflows, it absolutely can be. Many business leaders, however, struggle to make the transition from theory to action because it can be easy to become overwhelmed and overloaded. To help with this, we’ve identified five use…

Healthcare Analytics

Healthcare Analytics and its impact on Hospital Performance

What is Healthcare Analytics “The Global healthcare analytics market is projected to reach USD $50.5 billion by 2024 from $14.0 billion in 2019” according to a recent report by Markets and Markets. Several factors impact the rise in the global healthcare analytics market. An increase in EHR adoption, substantial improvement in venture capital, a decrease…

COMPARING CHILDREN WITH RL AGENTS IN UNIFIED ENVIRONMENTS

Artificial Intelligence : Comparing Children with RL Agents in Unified Environments

Despite recent advances in artificial intelligence (AI) research, human children are still by far the best learners we know of, learning impressive skills like language and high-level reasoning from very little data. Children’s learning is supported by highly efficient, hypothesis-driven exploration: in fact, they explore so well that many machine learning researchers have been inspired…

DEEP LEARNING MODELS FOR MULTI-OUTPUT REGRESSION

Deep Learning Models for Multi-Output Regression

Multi-output regression involves predicting two or more numerical variables. Unlike normal regression where a single value is predicted for each sample, multi-output regression requires specialized machine learning algorithms that support outputting multiple variables for each prediction. Deep learning neural networks are an example of an algorithm that natively supports multi-output regression problems. Neural network models…

Today’s technology is transforming home health care

Today’s technology is transforming home health care

Public health organizations are chartered with ensuring the health and well-being of individuals, families, and communities. Their scope of responsibility is wide-ranging and varies from country to country, and they are required to provide direct healthcare services to their citizens, including epidemiology and disease prevention. In the area of providing care, public health organizations, along…