It takes the average reader 1 hour and 30 minutes to read Data Accelerator for AI and Analytics by Simon Lorenz
Assuming a reading speed of 250 words per minute. Learn more
This IBM® Redpaper publication focuses on data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily, artificial intelligence (AI) workloads must speed up to deliver insights and business value in a timely manner. This paper provides a solution that addresses these needs: Data Accelerator for AI and Analytics (DAAA). A proof of concept (PoC) is described in detail. This paper...
Data Accelerator for AI and Analytics by Simon Lorenz is 88 pages long, and a total of 22,704 words.
This makes it 30% the length of the average book. It also has 28% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 4 minutes to read Data Accelerator for AI and Analytics aloud.
Data Accelerator for AI and Analytics is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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