AI in the Data Center, Unlock the Value of Data Projects, Why Data Scientists Should Adopt DevOps, and more. | How to Begin Integrating AI into Data Center Operations Data center automation is inevitable. Here's how to do it right from the beginning. Read More Unlock the Value: From Data Quality to Artificial Intelligence Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen Lopez, Data & Analytics Track Chair for Interop ITX 2018. Read More 5 Reasons Data Scientists Should Adopt DevOps Practices Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address. Read More Avoid These Pitfalls to Get Maximum Value from Data Science Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted. Read More |
| | | Top IT Trends for 2018 As we enter a new year of technology planning, find out about the hot technologies organizations are using to advance their businesses and where the experts say IT is heading. Read More |
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