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Autonomous Intelligent Enterprise
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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
The Importance of Cognitive Systems in the Digital World
This article discusses cognitive computing, a new approach to computing for the big data of the Digital Era. It helps businesses make better decisions by analyzing complex data and providing insights. Cognitive computing is not replacing humans but a tool to augment human decision-making.
Autonomous Intelligent Enterprise
Sharing Tribal Knowledge
This article discusses tribal knowledge, the experience employees gain over time. Companies lose this knowledge when employees retire. Capturing this knowledge through videos, cognitive technologies, and knowledge-sharing programs helps retain valuable information.
Autonomous Intelligent Enterprise
As Baby Boomers Retire, Don’t Let Tribal Knowledge Retire with Them
This article discusses tribal knowledge, the expertise that employees gain through experience. Companies lose this knowledge when employees retire. Capturing tribal knowledge in a cognitive computing system helps retain this valuable information.
Autonomous Intelligent Enterprise
Cognitive Computing and Intelligent Enterprises
This article discusses cognitive computing and its role in business transformation. Cognitive computing improves decision-making by analyzing big data. Early adopters are already benefiting from this technology. Cognitive computing goes beyond data-driven to value-driven business by understanding context and dealing with ambiguity. Businesses that don't adopt cognitive computing risk falling behind competitors.