Remove Data Collection Remove Digital Transformation Remove Internet of Things Remove Risk
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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. When I came in three years ago, it was with the task of digitizing the company,” says Svevia CIO Maria Wester. β€œIn But we do our best to achieve the right deliveries together.”

Risk 98
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Future Proof: Technology Solves for Business Value

CIO Business Intelligence

Implementing new technology for enterprise transformation brings increased responsibility to ensure the organization and its customers are protected from emerging risks associated with that new technology. Data governance, ownership and validity issues rise to the surface and must be addressed. Joan Smith. Jason Brucker.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes.

IoT 56
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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. This can help reduce the time and cost associated with manual processes, while also improving accuracy and reducing the risk of errors.

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12 considerations when choosing MES software

IBM Big Data Hub

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. Reduce risk, maintain compliance and increase ROI with applications built on 30+ years of market-leading technology.

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0