Brian Fallon

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…

Technology is advancing quickly and we all get to experience quick changes in innovation devices. It has become almost impossible today to do any job without using technology. Our lives are greatly influenced by technology, to an extent that from our daily chores at home to our professional jobs and interactions, everything is being affected by technology. What is AI? Artificial Intelligence refers to the ability of an advanced computer to perform operations normally executed by humans. To lay it out plainly, AI has human-like capacities regarding programming, however, it runs on significantly more impressive equipment. In contrast to people, smart machines can deal with huge amounts of information in real-time. AI Spring in Action The last few decades have witnessed the spring of AI. The dramatic surge in AI resulted from its progress in advanced neural networks NNs and genetic algorithms GAs from the ‘60s and ‘70s. For any organization planning to move ahead and succeed, integration of technology in its operation is a must. AI Incorporation Artificial Intelligence is now being incorporated by organizations all across the globe in a variety of ways, from robotizing a part of interacting with customers to deciding upon the products best suited…