Just How Much Do You Trust Your AI?
Summary: Just how much should you trust your AI systems? Best practice points to constant review, strong governance, and the willingness to override results that seem...
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Ten strategies to implement AI on the Cloud and Edge
Introduction The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying A...
DSC Webinar Series: ML vs Holt-Winters Forecasting
Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this latest Data Science Centr...
Just How Much Does the Future Depend on AI?
Summary: Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role. Here’s a little more detail. From the inside o...
Advantages And Disadvantages Of Python For Your Business
Python is widely praised. In 2019 its popularity increased by 4.2%. By stack overflow 2020 survey Python gets the 3rd most loved language after Rust and TypeScript. What ...
Business Intelligence vs Business Analytics
Business Intelligence (BI) and Business Analytics (BA) are both used to interpret business information and create data-based action plans. The two terms are frequently us...
Six AI Strategies – But Only One Winner
Summary: The results are in. There is only one demonstrably successful strategy for creating big wins for AI-first companies. We’ll briefly summarize the other co...
Essentials of Deep Learning : Introduction to Long Short Term Memory
This article was written by Pranjal Srivastava. Sequence prediction problems have been around for a long time. They are considered as one of the hardest problems to solve...
AI Ethics Challenge: Understanding Passive versus Proactive Ethics
Several of my friends have challenged me to get involved in the AI ethics discussion. I certainly do not have any special ethics training. But then again, maybe I do. I�...
Can Reinforcement Learning Break Through in 2020
Summary: Reinforcement Learning (RL) is going to be critical to achieving our AI/ML technology goals but it has several barriers to overcome. While reliability and a ...