Do you remember when we took you through the nine circles of hell with parameter optimization and a cup of tea? We introduced a parameter optimization workflow that uses four different machine learning models, individually optimizes the hyperparameters, and picks the best combination of machine learning method and hyperparameters for the user. However, the usual data scientist journey […]
Machine Learning Best Practices
Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long queue of related technologies—have reshaped global organizations of all shapes and sizes in recent times. The cumulative success of these technologies in businesses is so huge that now the remaining organizations […]
Maximizing ERP Systems with AI and Wide Data
In the current business landscape, traditional enterprises are looking for agile technologies to accelerate growth and digital transformation. Many of these organizations have petabytes of data stored in enterprise resource planning (ERP) systems and while ERP platforms can provide an overview of “what happened,” many organizations want to know “what will happen” or “what’s the persona of my user?” or […]
Integrating Edge AI
Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some time, AI shifted into software, using predictive algorithms that changed how these systems support businesses. AI has now moved to the outer edges of networks. […]
A Pragmatic Approach to AI in the Enterprise
Enterprise artificial intelligence (AI) adoption continues to surge in the wake of the pandemic. According to IDC, the AI solutions market is on track to break the $500 billion mark in 2024 – a significant jump from $341.8 billion in 2021. At the same time, the ROI on AI initiatives is quite low. More than three […]
Mitigating NLP Bias
NLP, natural language processing, is a subfield of linguistics, computer science, and AI that is concerned with interactions between computers and human language. NLP allows computers to process large amounts of natural language data. Specifically, NLP enables computers to process speech and text, interpret, and detect which parts of speech are more important than others by deciphering […]
Operational Data Analytics Extends Finance’s Value
Futuristic films, such as the new “Doctor Strange in the Multiverse of Madness,” are a fun look into what the future might hold. But outside the cinema, we’re seeing shifts in what’s possible right now. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […]
Putting Theory into Practice: What’s Next for AutoML?
Automated machine learning (AutoML) is no longer a new topic, but it’s still a growing trend in terms of the impact it’s having on businesses and employees. The main idea of AutoML is that it can help democratize data and data processes, providing people from any level or department of a business with the tools and platforms they need to […]
How an AI-Driven Approach to Analytics Is Changing the Geospatial Industry
While newer to the geospatial data industry, AI enables professionals to complete their jobs more efficiently and accurately. Originally, analysts required weeks to evaluate and parse massive amounts of data. Surveyors had to visit remote areas in person. Now, however, the use of AI has exponentially decreased how long it takes these professionals to do […]
4 Key Approaches to Using Data Analytics for Social Determinants of Health
Every day customers are calling health care call centers, providing visibility into their daily reality – without even being asked. Whether or not you’re listening, customers are sharing details about the social factors impacting their health care decisions within every interaction. These factors, both positive and negative, are called social determinants of health (SDOH) and include: Access to […]