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Nov 26, 2024

Scheduling Optimization: A Programmatic Solution

Conor Doherty reports on Lokad's latest programmatic breakthrough: scheduling optimization. The white paper covers scheduling in OEM and MRO aerospace operations.

Oct 28, 2024

Natural Stupidity vs. Artificial Intelligence

Transcript of the talk given by Joannes Vermorel at SCTech 2024 on October 9th (2024). Symposium topic: 'Supply Chain Intelligence - Artificial or Not'.

Jul 31, 2024

Show me the money: Reflections on ISF 2024

Alexey Tikhonov reflects on Demand Planning and the Role of Judgment in the New World of AI/ML - his panel discussion at the 44th International Symposium on Forecasting in Dijon, France.

Jul 1, 2024

Demand Forecasting through Envision - Workshop #4

The 4th Envision Workshop offers guided training on building demand forecasts for a retail company using Lokad's Quantitative Supply Chain perspective and tooling.

Jun 24, 2024

The three classes of enterprise software

Joannes Vermorel presents three classes of enterprise software (systems of records, systems of reports and systems of intelligence) and the origins of budget misallocation among them.

Apr 8, 2024

A Nuanced Perspective on Harvard Business School’s Jagged Technological Frontier

Conor Doherty reviews a paper by Harvard Business School called Navigating the Jagged Technological Frontier. TLDR: Quality is subjective; cost is not.

Mar 18, 2024

An opinionated review of the Yann LeCun interview with Lex Fridman

Joannes Vermorel reviews Yann LeCun's remarkable interview with Lex Fridman titled “Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI”.

Feb 29, 2024

Distribution Network Analysis through Envision - Workshop #3

This third Envision Workshop offers students and supply chain specialists guided training on analyzing the distribution network of a retail company using Lokad's Quantitative Supply Chain perspective and tooling.

Jan 29, 2024

Probabilistic Exponential Smoothing for Explainable AI in the Supply Chain domain

Read Antonio Cifonelli's PhD research on Probabilistic Exponential Smoothing for Explainable AI in the Supply Chain domain—another great study showing that half a dozen clever tricks can turn a model as basic the exponential smoothing into a racing car that beats state-of-the-art Deep Learning models.

Jan 22, 2024

Sales Analysis through Envision - Workshop #2

This second Envision Workshop offers students and supply chain specialists guided training on analyzing retail customers from Lokad's probabilistic, risk management perspective.

Jan 8, 2024

Selective Path Automatic Differentiation: Beyond Uniform Distribution on Backpropagation Dropout

The Selective Path Automatic Differentiation (SPAD) approach enhances Stochastic Gradient Descent (SGD) by adopting a sub-data-point perspective. This technique, implemented at the compiler level, trades gradient quality for gradient quantity, supplementing traditional SGD methods with a more nuanced view.

Dec 19, 2023

An opinionated review of Deep Inventory Management

A team at Amazon has published Deep Inventory Management (DIM) late 2022. This paper presents an DIM inventory optimization technique that features both reinforcement learning and deep learning. As Lokad went through similar path in the past, its CEO and founder Joannes Vermorel provides his critical assessment of the suggested technique.