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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. Philips e-Alert is an IoT-enabled tool that monitors critical medical hardware such as MRI systems and warns healthcare organizations of an impending failure, preventing unnecessary downtime.

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Have organizations become more collaborative over 25 years? What has enabled that?

Paul Hobcraft

Instead, they are tapping into the global pool of talent and ideas, using tools like crowdsourcing and hackathons. Have the tools differed or is it the acceleration of technology connecting it all up? Organizations are adapting to the changing landscape of innovation by adopting new methodologies, tools, and technologies.

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Artificial Intelligence: Disruption or Opportunity?

Daniel Burrus

Artificial intelligence (AI), one of twenty core technologies I identified back in 1983 as the drivers of exponential economic value creation, has worked its way into our lives. Success all comes back to us humans and how creatively we use the new tools. The post Artificial Intelligence: Disruption or Opportunity?

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Vision: the superpowers of Machine Learning

mjvinnovation

Created by Tony Stark, the android is such an advanced artificial intelligence that it has awakened self-consciousness in the events of Avengers: the Age of Ultron. In our Data Science universe, it represents Machine Learning. Machine learning is nothing more than a model of data analysis.

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Exploring High-Growth Opportunities in Software Engineering

Tullio Siragusa

The software industry is constantly evolving, and there are always new technologies and programming languages to learn, such as cloud computing, AI, blockchain, and machine learning. Let’s explore high-growth opportunities in software engineering, from AI, Cloud Computing to Internet of Things (IoT), and Cybersecurity.

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25 years of Innovation- how has it evolved? Has it been successful?

Paul Hobcraft

The second post , coming next, focuses on how organizations have become more collaborative, open and agile and deal with ideation and what tools and technologies seem to have emerged as the leading ones. Organizations are fostering a culture of experimentation and learning from failures to drive continuous innovation.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.