A collection of articles and advice for companies and businesses thinking of integrating AI into their products, services or processes.
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
The user interface brings new technologies to the masses. It happened over and over throughout computer history. AI, machine learning, quantum and future technologies will be no exceptions. Every New Technology Starts as User-Unfriendly Maybe it is because it’s been… Read More »From ENIAC to Quantum
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 developers to set up and configure. This dependency on IT delays projects because of competing IT priorities.… 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
Insight Automation Platforms have the work cut out for them: delivering on the promise to fully automate the process of going from data to insight requires a significant engineering effort and close collaboration across multidisciplinary teams that rarely work together.… Read More »Insight Automation: The Future of AI in the Enterprise
An AI proof-of-concept (POC) can help you measure business benefits without having to invest in a full-blown implementation. Read below for a step-by-step approach to implementing a POC in your organization. In the same way you test-drive a car before… Read More »How to Implement a Winning AI Proof-of-Concept
Practical advice for people using Excel data analysis functions. Excel is the go-to tool for most business users. While Excel is a very powerful tool, it wasn’t designed to enable certain data analysis tasks. Excel users know that when it… Read More »Excel Data Analysis