Unlocking the Potential of AI: Learn, Partner, and Question

We haven’t come close to realizing the potential promised by Artificial Intelligence. According to Gartner’s Hype Cycle for Emerging Technologies 2018, which evaluates everything from Smart Fabrics to Blockchain to various AI tech including General and Edge AI and AI PaaS, only Deep Neural Nets (Deep Learning) has reached the “Peak of Inflated Expectations.” That…

AI Should Still be Left to the Experts

And at the moment, those experts come from academia. There’s a misguided assumption that AI is data science. It’s not (although data is the fuel). To truly understand the complexities of these algorithmic models and to customize them to your business needs, you need someone trained at the forefront of machine learning and AI. Every…

Part 3 of 3: Understanding AI’s Application in Industry – Unique, Streamlined, and Affordable

Simple machine learning frameworks offer valuable opportunities to test AI’s efficacy at streamlining simple business processes. But for most department heads, buying an “AI-in-a-box” solution has hidden costs lurking behind every customization (some even doubt any future for out-of-the-box AI). And for any real deep learning application, customization is key. Until industry has more general…

Unsupervised and Semi-Supervised Machine Learning

In machine learning lingo, “labeled” data means we have the data and we also know the output that is associated with the data. For example, you’re trying to predict house prices based on features like the square footage and neighborhood of a house. You have labeled data in this case if you also have the price…

Analyzing Large Graph Datasets with Graph Embeddings

Large graph datasets on a chalkboard Relationships are everything – family, friends, mentors, colleagues, business contacts.  That’s true in life in general, but also in a great many applications of data science.  The connections between people, businesses, banks, and accounts can tell you if the flow of money is normal or a case of identity…