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Drive KPIs and data-driven decisions without a datastrategy Building digital products, improving customer experiences, developing the future of work , and encouraging a data-driven culture are all common digital transformation themes.
Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextualdata, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.
A recent customer story – OCBC Bank has accelerated its datastrategy with Cloudera – illustrates the power of Cloudera for machine learning use cases, particularly in the area of GenAI with business impact: OCBC’s Next Best Conversation , a centralized platform that uses machine learning to analyze real-time contextualdata from customer (..)
How effectively and efficiently an organization can conduct data analytics is determined by its datastrategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.
BRIDGEi2i Co-Founders, Pritam Kanti Paul and Prithvijit Roy, share anecdotes in a riveting discussion with Samir Sharma on his popular podcast, The DataStrategy Show. Read his point of view on how AI can Reimagine Customer Service for Enterprises. Read Article. Watch Here. AI For Better Lives. Back to News Page. www.BRIDGEi2i.com.
The partnership has enabled OCBC to better store, manage and harness the power of our data.”. One example is OCBC’s Next Best Conversation , a centralized platform that uses machine learning to analyze real-time contextualdata from customer conversations related to sales, service and more.
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