Tag: Data Analysis
Understanding New AI With Old Math, and Why We Should Care
We’ve seen The Matrix, i,Robot, 2001: A Space Odyssey, The Terminator, etc, imagining AI will...
Top 3 Most Popular Neural Networks
ANN, CNN, FFN, RNN… That’s a lot of N’s! Even for someone ensconced in the...
Engineering Legacy Data is Hard. Here’s What to Do About It.
Have you ever tried to get two software systems to share information with each other?...
5 Data Trends to Watch in 2018
Along with a New Year come predictions for what’s hot and what’s not. Here’s five...
Does My Model Smell Funny? Top Takeaways from Technical Debt in Machine Learning Systems
Sniffing Out Technical Debt in Machine Learning Solutions With the democratization and open-sourcing of machine...
Making Relationships Work for You – Graph Databases and Logistics Operations
Imagine you are an army mechanic, and you are deployed with resupplying resources days away....
3 Key Architecture Takeaways from DAS 2017
I recently attended the 2017 Data Architecture Summit hosted by DATAVERSITY in Chicago. The audience,...
Demystifying Neural Networks: the Theory
In my previous post on the Deep Learning Summit in Boston, I discussed Maithra Raghu’s...
Cross Post: Five Lessons Learned from Applying Design Thinking to Data Use
Human centered design isn’t a new concept – design thinking tools like ranking exercises, journey...
Highlights from the Deep Learning Summit: Neural Networks Demystified and Domain Adaptation
I recently had the pleasure of attending REWORK’s Deep Learning Summit in Boston. Two topics...
Teaching Machines: What is Machine Learning?
Data Science and machine learning have generated a lot of discussion surrounding them in the...
BBC: Digital Transformation for Analysts
In our previous post on the 2016 Building Business Capability (BBC) conference, we introduced 3 future...