Machine Learning

October 2017

Dan Gilmore on the Supply Chain Center of Excellence Panel at CSCMP Edge 2017

Dan Gilmore on the Supply Chain Center of Excellence Panel at CSCMP Edge 2017

Daniel Kimmel Technical Writer
Directly from the floor of the CSCMP Edge Conference, Dan Gilmore―voice of Supply Chain Digest―delivered a report covering the key points of a pane...
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September 2017

Three Things That Supply Chain Managers Should Know about Artificial Intelligence

Three Things That Supply Chain Managers Should Know about Artificial Intelligence

Michael Watson Ph.D Partner
I was recently interviewed by Dan Gilmore on Supply Chain TV and CSCMP. One of the things we talked about that needs further explanation is artific...
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August 2017

Practical Applications of Machine Learning to Supply Chain Planning: A Few Suggestions

Practical Applications of Machine Learning to Supply Chain Planning: A Few Suggestions

Kristen Daihes Partner
In an earlier blog, I talked about how Artificial Intelligence is already transforming supply chain planning. It is fundamentally changing the comp...
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AI is Already Transforming Supply Chain Planning – Are You on Board?

AI is Already Transforming Supply Chain Planning – Are You on Board?

Kristen Daihes
Partner
Ganesh Ramakrishna
Partner
The world’s foremost thought leader in Artificial Intelligence, Andrew Ng, said that AI is the new electricity (Andrew Ng Interview). Electricity c...
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June 2017

The Digital World – Competing with Silicon Valley Startups

The Digital World – Competing with Silicon Valley Startups

Kristen Daihes Partner
There was a fantastic article in the Wall Street Journal recently – Wall Street to CEOs: Disrupt Your Industry, or Else. A key message from the art...
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February 2017

Peer Bank Recommender

Peer Bank Recommender

Hari Murakonda
Data Scientist
Sanjeevni Wanchoo
Data Scientist
Introduction If you’ve ever been part of stress testing at a bank, you have probably heard of term “peer banks” often. So who are these peer ...
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September 2016

Dealing With Poor Predictive Models

Dealing With Poor Predictive Models

Hari Murakonda Data Scientist
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Imagining the Supply Chain of 2030

Imagining the Supply Chain of 2030

Kristen Daihes Partner
  I had the opportunity to join the Supply Chain Insight Global Summit last week in Arizona.  As expected, this summit did not disappoint.  Lo...
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August 2016

Who is Afraid of the Big (Bad) Wolf?

Who is Afraid of the Big (Bad) Wolf?

Diego Klabjan Partner
In May 2016 I participated at the IRI Annual meeting in Orlando. I attended the round table “Implications of Big Data on R&D Management” organi...
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June 2016

Role of Loss Functions in Machine Learning

Role of Loss Functions in Machine Learning

Mohsen Moarefdoost Ph.D. Operations Research Scientist
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February 2016

Three Ways to Get More Value from Your Customer Feedback and Complaints

Three Ways to Get More Value from Your Customer Feedback and Complaints

Sanjeevni Wanchoo Data Scientist
Many companies are sitting on an asset and aren’t realizing its value. This asset is the data you have from customer call transcripts and complaint...
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Mathematical Optimization and Machine Learning

Mathematical Optimization and Machine Learning

Mohsen Moarefdoost Ph.D. Operations Research Scientist
You won’t be surprised if I tell you machine learning, data mining and data science are hot topics today. But, you might be wondering what makes yo...
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January 2016

Why You Need to Understand the Trade-Off between Precision and Recall

Why You Need to Understand the Trade-Off between Precision and Recall

Sam Hillis Data Scientist
(This article first appeared in SupplyChainDigest and was co-authored by Sara Lewis) Recent advances in computing and availability of data have dri...
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MH&L’s Top 10 Advanced Technologies that will Shape Manufacturing’s Future

MH&L’s Top 10 Advanced Technologies that will Shape Manufacturing’s Future

Michael Watson Ph.D Partner
  MH&L recently published an article on the Top 10 advanced technologies that will shape manufacturing’s future.  The research was d...
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December 2015

Machine Learning and High Quality Potato Chips

Machine Learning and High Quality Potato Chips

Michael Watson Ph.D Partner
I always like learning about new applications of machine learning algorithms to improve operations.  And, I especially like ones that are easy to e...
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November 2015

Beyond Basic Machine Learning: Modeling Loan Defaults with Advanced Techniques

Beyond Basic Machine Learning: Modeling Loan Defaults with Advanced Techniques

Tim Klabjan
Dodd-Frank Act Stress Testing (DFAST) is now required also for smaller banks with assets less than $50 billion. Simply stated, the test requires a ...
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