Analytica Advisors is a boutique consulting firm engaged in building global capital markets for sustainability leaders among both long-term investors and companies. It focuses on financial and technical innovation for its clients the world over. Development of natural language processing and machine learning tools to analyze structured and unstructured datasets in high and low carbon sectors using company annual reports. COVID19 has accelerated shifts in global energy market such that energy companies and banks may be impacted in the medium to long term. For investors and policy makers it is important to understand the scope and scale of potential change/consolidation from the point of view of individual companies.

AIC is a Montreal based company involved in software development. The major business of AIC comes from the acquisition of a commercial Warehouse Management System that is currently used by a number of 3PL warehouses that operate for clients like Unilever and Coca Cola. We begin by focusing on a known 1.5M square foot 3PL warehouse in Burlington (NJ) operated for a number of different clients and product groups. Different product groups pose significant constraints on the pick route given that apparel, electronics, food and hazardous materials have very different constraints on how they are to be received, stored and then picked, packed and shipped. We first examine the optimization of picking routes for a single picker given a specific simulated warehouse layout.

We are a passionante group of biologists, ecologists, data scientists, software developers, and AI specialists based in Montréal. We aim to make detecting whales as fast and easy as possible. Whether it's providing wildlife managers with cutting edge tools to increase their efficiency, accuracy, and lighten their workload - or helping ports manage whale presence and marine traffic in a healthy and profitable way - we want anyone interested in whale detection to have access. To learn more about us please visit our website at: https://www.whaleseeker.com. The objective of the project is to work with the multidisciplinary team to develop a solution that processes images using Machine Learning to identify whale targets among large (35 MPx and above) aerial pictures containing multiple sources of interferences like glare, waves, rocks, muddy water, etc.