Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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12 years ago
The Power of Predictive Analytics for Retail Replenishment

 Replenishment is an essential process in the retail supply chain. It is a key link in the chain that is interconnected with other functions such as allocation, promotions, planning, assortment, vendor compliance, and more. Furthermore, it is a function that can be tweaked, and optimized to see immediate cuts in inventory costs, and an increase in sales and customer service levels. However it’s a complex calculation considering the factors that are involved, and the sheer magnitude of Store/SKU combinations for a retailer of a decent size. In fact replenishment can not be looked at separately without considering the

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