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Autonomous Intelligent Enterprise
Supply Chain Professionals Need Autonomous Decision Science
In an increasingly complex business environment, AI-powered Autonomous Decision Science is crucial for supply chain management. It enables rapid, data-driven decision-making, optimizes operations, and improves adaptability. Systems like Enterra's integrate across the value chain, enhancing overall business performance and future-proofing strategies.

Autonomous Intelligent Enterprise
The Future of Process Automation is Intelligent
In this article, Steve shares how intelligent automation is revolutionizing business processes. It combines AI, machine learning, and robotic process automation to streamline operations, improve efficiency, and make better decisions. This technology is transforming back-office functions and enhancing customer experiences across industries.

Autonomous Intelligent Enterprise
The Autonomous Enterprise Still Needs Humans
This article discusses the concept of autonomous enterprises, which leverage AI and automation to optimize business processes. It highlights the balance between human input and machine automation, the four pillars of autonomous enterprises, and the potential benefits and challenges of this transformation.

Autonomous Intelligent Enterprise
Systems Of Intelligence: The Next Era Of CPG Value Chain Optimization And Decision-Making
Disruptions like political tensions and climate change threaten consumer goods supply chains. SOI, powered by AI, optimizes these for changing demands. Strategic adoption with good data is key. CPG companies embracing SOI win. The original Forbes Technology Council article can be found here: https://bit.ly/3V8zKGr

Autonomous Intelligent Enterprise
Decision Science and the Supply Chain’s Decision Abyss
This article discusses the importance of data-driven decision-making in businesses. It highlights the challenges of the "decision abyss" and introduces solutions like Enterra's System of Intelligence, which combines AI technologies to improve decision-making processes and drive enterprise success.

Autonomous Intelligent Enterprise
Will 2024 be the Year of Automation and AI in the Supply Chain?
This article discusses the trend towards autonomous intelligent enterprises, focusing on the integration of AI and automation in business processes. It explores the concept of hyper-automation, its benefits, and the potential impact on various industries, particularly in decision-making and supply chain management.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Autonomous Intelligent Enterprise
Intelligent Automation and Business Continuity
The pandemic exposed flaws in traditional business continuity plans. The answer? Intelligent automation to keep processes flowing even during disruptions. This article explores how smart automation can be your secret weapon for business resilience.

Autonomous Intelligent Enterprise
Where Should Business Decisions Be Made?
Countless decisions are made every day in every business. It turns out that it matters where those decisions are made. Some decisions should be made on the front lines, while others should be made in decision centers or war rooms.

Autonomous Intelligent Enterprise
Looking Forward to the Autonomous Intelligent Enterprise
In a world that is moving towards autonomous vehicles, aircraft, and robots, many pundits predict autonomous digital enterprises are not far behind. According to analysts from Pegasystems, “The autonomous enterprise is an organization which comprehensively applies AI and automation to engagement, servicing, and operations across the organization to operationalize agility and create a business that can become self-optimizing.”

Autonomous Intelligent Enterprise
Leadership and Decision-making
Leaders need to understand what decisions are important, how quickly they must be made, and what the consequences of certain decisions could be. Nevertheless, it’s easy for leaders to be overwhelmed by decision overload. One way to overcome decision overload is to let intelligent systems make routine decisions using the embedded expertise of the company’s best experts.