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The future interplays between design thinking, technology and AI

Paul Hobcraft

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. This involves moving computing power, data storage, and decision-making to the edge of operations.

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Data Science: Infinity War

mjvinnovation

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

Data 66
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Exploring the Global Smart Cities Market: Software Opportunities

Tullio Siragusa

Having spent time as an advisor to an AI application company focused on smart cities, what I’ve learned is that the smart cities market can be segmented into several categories based on the type of service providers. Let’s explore the market opportunities by categories and regions.

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Workplace Safety Issues in the Oil and Gas Industry: How Technology Can Ensure Frontline Workers’ Safety

Acuvate

Oil and gas companies need to prioritize safety by implementing comprehensive safety protocols, providing adequate training, and leveraging technology to mitigate these risks. Moreover, creating a safety culture can also go a long way. Internet of Things (IoT) devices and sensors can collect data from varied datasets.

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Workplace Safety Issues in the Oil and Gas Industry: How Technology Can Ensure Frontline Workers’ Safety

Acuvate

Oil and gas companies need to prioritize safety by implementing comprehensive safety protocols, providing adequate training, and leveraging technology to mitigate these risks. Moreover, creating a safety culture can also go a long way. Internet of Things (IoT) devices and sensors can collect data from varied datasets.

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Meet Thanos: the analog villain in the data era

mjvinnovation

Managers and directors who ignore the need to develop a solid strategy for Big Data often make blind decisions. How can our Data Science heroes overcome this obstacle? How can our Data Science heroes overcome this obstacle? How to promote a true transformation in companies, basing decision-making on data?

Data 40
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Key Technology Trends to Watch in 2023: From AI and 5G to Quantum Computing and Cybersecurity

Tullio Siragusa

AI and ML have the potential to automate repetitive tasks, analyze large amounts of data, and make predictions, which can lead to cost savings and improved efficiency in a wide range of industries. Some of the key companies leading the way in AI and ML include Google, Facebook, Amazon, Microsoft, and IBM.