One key challenge to a successful data and analytics strategy is gaining consensus and alignment between the business and data science (data & analytic) stakeholders ...
If your small or medium-sized (SME) business is looking for ways to improve forecasting, problem-solving and market opportunities, it must have an agile, swift analytical...
In the DSC November 2 editorial, I posed a question I’ve wondered about for a while. Why is it so hard to create a shared-reality world, whether it’s called V...
For the past two years, we, at Inscripta AI, have been working with organizations looking to integrate NLP/AI into their workflows and solutions (“Fast-tracking AI Int...
This article is part of a series about fun problems, offered with solutions. The previous one can be found here. This new problem falls in a category called stochastic ge...
Often the hardest part of a project is the “final mile” – getting deep learning models into production and yielding results. In order to accelerate this process...
Why Are Metaverses So Hard To Build? Facebook has been in the news lately, possibly tied into attempting to change the narrative after October’s disastrous outages....
I am not a medical doctor, only a doctor in statistical science. Yet much of the political crisis has its origin rooted in data and statistical models: people who disagre...
Production is often viewed as the final frontier in the machine learning process. By now, your data scientists trained a model on your data, the machine learning and soft...
When the Power Goes Out Seattle has a reputation for being rainy, though it’s actually drier than many other places that don’t have that reputation. However, ...