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Achieving Trusted AI in Manufacturing

Cloudera

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 contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Five years ago, I shared that the No.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

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BRIDGEi2i Newsletter: July 2021 Recap

bridgei2i

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. BRIDGEi2i Co-Founders, Pritam Kanti Paul and Prithvijit Roy, share anecdotes in a riveting discussion with Samir Sharma on his popular podcast, The Data Strategy Show.

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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

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 contextual data from customer conversations related to sales, service and more.