Big Data Internet of Things Manufacturing Predictive Analytics 
Rocket-Powered Data Science
JULY 7, 2019
Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Robotics: A branch of AI concerned with creating devices that can move and react to sensory input (data). Examples: (1) Automated manufacturing assembly line. (2)
IBM Big Data Hub
FEBRUARY 19, 2024
Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Real-time tracking systems, often enabled by Internet of Things (IoT) devices, help companies monitor their supply chain accurately and immediately.
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Cloudera
JANUARY 20, 2021
Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.
Cloudera
JANUARY 29, 2021
Manufacturing’s digital transformation growth is truly impressive considering it’s delivering value with explosive growth rates. Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, or that the Connected Car market will be valued at $225b by 2027 with a 17% growth rate.
Smart Data Collective
JUNE 19, 2019
Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.
IBM Big Data Hub
JUNE 14, 2023
Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,
Sisense
OCTOBER 6, 2020
When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Better together: Working with qualitative data and quantitative data.
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