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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

billion by 2030. Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. IntelĀ® Technologies Move Analytics Forward. HPC Comes of Age.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

billion by 2030. IntelĀ® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. billion by 2030. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so letā€™s contrast them with data lakes. Data Warehouse.

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The Technology Enabling Successful Hybrid Workforce Transformation

CIO Business Intelligence

Driven by the growth of cloud-based technologies, the global VDI market is projected to reach a value of more than USD78 billion by 2030. [3] Emerging from the pandemic, Montage Health leaders aimed to continue and optimize telehealth, telemedicine, virtual care, and virtual visits. Just starting out with analytics?

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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.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.