With the global artificial intelligence (AI) market expected to be at almost $60 billion by 2025, many applications transform everyday life. Organizations seek ways to sustain their competitiveness in the marketplace by using AI to power what people see online, purchase products, and provide personal recommendations. As consumers realize the benefits of AI to them, they are more willing to share personal data, giving businesses a fantastic opportunity to innovate.
Custom Machine Learning Models
When you throw a fresh dataset at a Python data scientist the first thing he or she will do is spin up a Jupyter notebook and dig in. Notebooks offer you the freedom to run and tweak a block of code until you’re happy with it, add some nicely formatted documentation with a plot, and then move on to the next code block.
We like hackathons. And this weekend, a delegation of Faktion’s machine learning team participated in a very special one: the VINCI Energies Human Beyond Digital Hackathon in Frankfurt. We were challenged to detect human activities in videos. Out of 12 international expert teams, Faktion won first place by creating the most accurate model of all submissions.
While cloud-based contact centers are hardly a new technology, they remain a critical element in unlocking future innovations. Due to higher processing, storage and bandwidth capabilities, the cost and flexibility of running and operating a cloud-based contact center cannot outweigh the benefits of an on-premise contact center in the light of future innovations.