Diana is a data architect with over 10 years of experience in data management, enterprise architecture, and software development. At Novacene, Diana works with clients and internal staff to ensure that all of the data-related tasks are as efficient as… Read More »Diana Rozo, Data Architect
A technical overview of our approach to overcoming the challenges of unsupervised text classification. Text Classification is a very popular and well explored research and application area in machine learning. There are more and more sophisticated ways to classify text… Read More »Voices Across Languages: Advanced NLP for Survey Responses and Social Media at Scale
NovaceneAI collaborates with CMC Microsystems to bring the power of quantum computing to business users through an easy-to-use interface. Big Data Needs Big Computers For years now, the cloud made it possible for subject matter experts to take advantage of… Read More »Democratizing Quantum AI
How natural language processing can enable a broader understanding between governments and citizens. Digital technologies can help us collaborate… Social media, online consultations, discussion forums and online surveys provide researchers with a massive source of qualitative data. These technologies are… Read More »Harvesting Insights from Text
Building Blocks Technologies partnered with NovaceneAI to automate the extraction and analysis of handwritten customer feedback. Using computer vision and sentiment analysis, the solution processes thousands of forms in minutes—turning once-ignored comments into real-time insights accessible through an intuitive dashboard.
LISTedTECH, an EdTech market research firm, partnered with NovaceneAI to automate the verification of thousands of records using a custom machine learning model. The solution prioritizes the most likely valid entries, helping the team redirect over 200 hours each month toward more strategic, value-driven work.
AI business applications are here to stay. Businesses are using AI to improve operations, increase value to customers and reduce cost. But it can be hard to get started implementing AI when opportunities aren’t clear. This post presents a few… Read More »Using AI in your Organization: 6 Practical Examples
The technical and scientific nature of artificial intelligence technologies make AI an intimidating topic for most people. And the hype around what AI can do blurs the lines between reality and science fiction. While you might think that AI is… Read More »Five AI Definitions Every Business Leader Should Know
Natural Language Processing helps subject matter experts reduce the amount of time they spend analyzing text. Some of the best tools however require engineers to set up and configure. This dependency on IT delays projects because of competing priorities. When… Read More »Text Analysis: Understand sentiment, topics and tone without coding
Training Machine Learning (ML) models can take a lot of time and consume a lot of computing power. This can be also true for testing the models if your datasets are large enough. These operations are resource-hungry and can paralyze… Read More »Training Machine Learning Models in the Cloud
