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Sign up for 'The Factory of the Future' webinar!

#artificialintelligence

The factory of the future, machine learning, and digital twin are just a few of the terms that are popping up in the manufacturing sector's path toward digital transformation. There are endless perspectives and definitions on these topics but very little on how to approach these as a strategy. "The Factory of the Future" digital panel, hosted by Librestream's Neal Tomblyn and Dan Flynn, with Lockheed Martin's Sr. Program Manager for Advanced Technology Solutions Corey Cook, will help explain the challenges aerospace manufacturers are currently facing, how they are meeting and solving these now and into the future, and some of the technologies that are helping to make it possible. Presenters Neal Tomblyn, former Lockheed Martin Executive and Librestream Senior Advisor, Aerospace and Defense, has more than 40 years of extensive leadership transforming and creating growth for Aerospace and Defense businesses both domestically and internationally with start-ups to Fortune 50 companies. After retiring from Lockheed Martin Corp. in December of 2019, Tomblyn formed Ingenius Partners LLC where his focus is on creating growth environments and opportunities for early-stage disruptive technology and solution companies supporting digital transformation.


Forecasting: theory and practice

arXiv.org Machine Learning

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.