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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Building a Beautiful Data Lakehouse

CIO

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. This dual-system architecture requires continuous engineering to ETL data between the two platforms. Learn more at [link]. . IntelĀ® Technologies Move Analytics Forward.

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Rebalancing through Recalibration: CIOs Operationalizing Pandemic-era Innovation

CIO

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

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Donā€™t Blink: Youā€™ll Miss Something Amazing!

Cloudera

Ability to handle complex analytic queries ā€” especially when weā€™re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way.

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Data ā€“ the Octane Accelerating Intelligent Connected Vehicles

Cloudera

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 108
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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 63
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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

When paired with the accelerated compute so often deployed with AI/ML-driven workloads, traditional storage architectures are severely challenged to keep the processors fed with data and operating efficiently ā€“ let alone meeting response time requirements.