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http://hdl.handle.net/123456789/1743Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Deshpande, Anand | - |
| dc.contributor.author | Kumar, Manish | - |
| dc.date.accessioned | 2026-08-03T10:21:31Z | - |
| dc.date.available | 2026-08-03T10:21:31Z | - |
| dc.date.issued | 2018-05 | - |
| dc.identifier.isbn | 978-1-78847-217-3 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1743 | - |
| dc.description.abstract | We are at an interesting juncture in the evolution of the digital age, where there is an enormous amount of computing power and data in the hands of everyone. There has been an exponential growth in the amount of data we now have in digital form. While being associated with data-related technologies for more than 6 years, we have seen a rapid shift towards enterprises that are willing to leverage data assets initially for insights and eventually for advanced analytics. What sounded like hype initially has become a reality in a very short period of time. Most companies have realized that data is the most important asset needed to stay relevant. As practitioners in the big data analytics industry, we have seen this shift very closely by working with many clients of various sizes, across regions and functional domains. There is a common theme evolving toward open distributed open source computing to store data assets and perform advanced analytics to predict future trends and risks for businesses. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1170518; | - |
| dc.subject | Artificial Intelligence for Big Data | en_US |
| dc.title | Artificial Intelligence for Big Data | en_US |
| dc.title.alternative | Complete guide to automating Big Data solutions using Artificial Intelligence techniques | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Artificial Intelligence for Big Data.pdf | 10.1 MB | Adobe PDF | View/Open |
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