DSC Webinar Series: Organize a Winning AI Team from Design to Deployment
Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process — can go a long ...
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Advanced Analytic Platforms – Changes in the Leaderboard 2020
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of ...
Using an AI COE (Center of Excellence) to Bridge from Experimentation to Mastery
Summary: There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experime...
An Argument in Favor of Centaur AI
Summary: Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take actio...
Making Sense of the Hype Cycle for Artificial Intelligence
Summary: If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some research and review sources....
Revisiting the Implementation of AI Strategies
Summary: Can all AI strategies be defined by a few common needs or are the different AI strategy models sufficiently unique that they need to be considered as separate ...
AI Techniques for Workforce Forecasting
Summary: Workforce forecasting and scheduling applications are rapidly upgrading their use of AI. Techniques of time series forecasting ranging from the simple Holt W...
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...
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...