Preview – Most IBP cycles around the world are based on a 20-year-old process definition supported by 20-year-old planning concepts. This traditional IBP is not set up for a fast-changing world, where speed of decision making confers a competitive advantage. Intelligent automation will change this. In this series of short blogs, I will discuss the transition of traditional IBP towards a more intelligent IBP. In … Continue reading Intelligent IBP – Closing the Decision Gaps
Preview – Most IBP cycles around the world are based on a 20-year-old process definition supported by 20-year-old planning concepts. This traditional IBP is not set up for a fast-changing world, where speed of decision making confers a competitive advantage. Intelligent automation will change this. In a series of short blogs, I will discuss the transition of traditional IBP towards a more intelligent IBP. In … Continue reading Intelligent IBP – The Rise of Autonomous
The evolution of Integrated Business Planning has been at a standstill for years. Traditional IBP process and planning horizon thinking, supported by traditional Advanced Planning and Business Intelligence (BI) systems, limits progress. Sure, over the years new supporting planning features have been developed. Faster calculations, a nicer GUI, more simulation capability, Machine Learning and graph databases, to name a few. But both the IBP process … Continue reading Traditional IBP is dead. Long live Intelligent IBP!
I recently presented at the 41st ISF symposium from the International Institute of Forecasters, where I discussed #cognitiveautomation in planning & forecasting, which is availably in this video (25 min) I cover:– why #artificialntelligence alone is not enough to achieve #intelligentautomation– what’s really required to achieve #autonomousplanning?– boundaries of automation, augmentation & human centricity in decision making– why the human stays central in the #futureofwork Hope you enjoy cheers, Niels Continue reading Cognitive Automation in Planning & Forecasting
Artificial intelligence (AI) will be at the center of value creation in the future enterprise. It has the potential to augment and automate both physical labor and the knowledge worker. AI powered cognitive automation has the potential to make ordinary knowledge workers into super humans leading to superior performance, triumphing over human genius and activity alone. However, enterprises should not focus on artificial intelligence alone … Continue reading Seven reasons why Artificial Intelligence can’t drive business value alone
This article is my commentary on an article published in Foresight, written by the authors of the book Humachine: Humankind, Machines, and the Future of Enterprise (Sanders & Wood, 2020). For the original Foresight article and other commentary, you can go here. INTRODUCTION: A NEW ERA The authors of The Humachine make a valid point that enterprises should not focus on artificial intelligence (AI) alone … Continue reading AI Is Here to Automate the Knowledge Worker!
An interview on Autonomous Planning with Niels van Hove I recently got interviewed by Bethanie Maples about my Foresight article; ‘Autonomous or Lights out Planning, what’s really required?’ Bethanie is an AI and human cognition expert, does research at Standford University and is advisor to many entrepreneurs. I explain how we have to make the leap forward from Wave 1 (ERP) and Wave 2 (APS) … Continue reading Achieving Autonomous Supply Chain Planning; an expert interview
My mum used to say that if you wait long enough, the same things will come back in to fashion. I suppose that is also true when you blog long enough about supply chain. In 2012 I wrote a short blog about demand driven & agile supply chains, which seems to be all the hype back then. Some of the quotes I picked up from … Continue reading The agile supply chain is back. But this time it’s for real!
A common IBP cycle has a monthly cadence providing an – up to 24 months – forward view of a business. It is often supported by a weekly control cycle, sometimes called Sales & Operations Execution (S&OE). This cycle plans demand & supply in more detail and over a shorter horizon, often around 12 weeks. IBP is data and resource hungry. Planners spend up to … Continue reading Why Cognitive Automation makes IBP more Agile and more Strategic
Preview In his 2019 Foresight article, Niels van Hove examined eight technological hurdles that must be overcome to enable autonomous or ‘lights out’ supply-chain planning. He reasoned that to support such planning we need to implement a third wave of integrated supply-chain planning software. In this article, Niels argues that these technological advances can lead to either (a) planning-process and decision automation or (b) planning … Continue reading Technology Support in Integrated Business Planning: Automation, Augmentation and Human Centricity