Remove 2030 Remove Deep Learning Remove Internet of Things Remove Optimization
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. The key to achieving the United Nation’s target through 2030 lies in enhancing the performance of assets, facilities and infrastructure.

IoT 84
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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

billion by 2030. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. On the other hand, data lakes store from an extensive array of sources like real-time social media streams, Internet of Things devices, web app transactions, and user data.

Data Lake 106
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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.