Remove Artificial Inteligence Remove Disruption Remove Technical Review
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5 Tech Issues That Can Slow Down Innovation

IdeaScale

In our minds, technology and innovation are interconnected. However, for every technological advancement, there seems to be a learning curve or adjustment period as we try to figure out how to implement automation into our daily lives. Technology: One Step Forward, Two Steps Back? source: pixabay.com.

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The Arrival and Potential of Knowledge Graphs into Our World

Paul Hobcraft

Struggling to get out of the technical jargon, so be ready and have patience. Most of what I have read and researched gives detailed explanations of how they work and throws around all the different jargon, protocols such as the need to understand the important semantic technologies, concepts, and methods like RDF, URI, SPARQL, SKOS, and OWL.

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How Does Technology Influence Innovation?

IdeaScale

In a recent round of research, I was reviewing adoption rates for new technologies. In this way, innovation in the technology sector is more volatile, powerful, and drives almost every other sector as it moves to keep pace with our own demands. Robotics, natural user interfaces, the list of emerging tech goes on and on.

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The Travel & Hospitality Industry is Being Disrupted, Again.

Leapfrogging

Airbnb disrupted hotels. Now big travel and hospitality companies are going after the next disruptive innovation themselves before getting blindsided yet again. As part of a new series of articles I’m writing called Everything Transformed , I’m focusing on the widespread disruption of just about every industry on the planet.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

So this post reviews many great contributors to advancing innovation over the years. Then we moved into an era of technology-associated innovation These are building on a higher reliance on AI, Technology, and Digital approaches, connecting more to the customer and more collaborative across organizations.

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Enhancing Turbine Maintenance Efficiency with Microsoft Fabric and Azure ML 

Acuvate

By leveraging advanced analytics and machine learning models, predictive maintenance uses real-time sensor data to anticipate potential failures before they occur. Predictive maintenance , powered by advanced data analytics and machine learning, is revolutionizing how we approach turbine care.

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How A.I. can help you better lead projects and teams

Idea to Value

As I’ve just finished leading an 18-month project, I am reflecting on how project management and leading teams is changing as Artificial Intelligence becomes more common in the workplace. Proactively Managing Risks: Identify potential risks early and develop contingency plans to navigate challenges with minimal disruption.