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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. Our client is a large government organization that provides more than 1.1

Data 78
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. technologies to build a fully connected and integrated industrial ecosystem.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. technologies to build a fully connected and integrated industrial ecosystem.

Data 52
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Geok Chwee

Innovation 360 Group

She had championed incubation of emerging growth business focusing on Software-as-a-Service, Internet-of-things, Big Data analytics with responsibilities spanning from Business Development, Product Development, Product management and Product Marketing. Innovation Governance and Processes. Design Thinking.

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Top 10 CPG Industry Trends For 2020

Acuvate

As activist investors embark upon a new wave of consolidation, and government trade regulations get more stringent, CPG companies are driven to reinvent themselves. Using Big Data and Advanced Analytics. Big Data and advanced analytics opens the floodgates of opportunities for CPG companies to use data to their benefit.

Trends 72
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Data Science: Why and How do you Invest in Data?

mjvinnovation

Data Science began with statistics and evolved to include concepts / practices such as Artificial Intelligence, Machine Learning, and the Internet of Things, to name but a few. The data scientist: defines the problem; identifies the main sources of information; designs the structure for collecting and sorting the required data.

Data 40
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Industry 4.0: what it is and what are its current impacts

mjvinnovation

includes many physical and digital technologies – from Artificial Intelligence to cognitive applications through the Internet of Things and Big Data – allowing the emergence of interconnected digital organizations, as well as a high degree of modernization of manufacturing parks, among other results.