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Here are some of the highlights of the upcoming Interop ITX Leadership and Professional Development Track, to help you succeed.

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 Lpez, Data & Analytics Track Chair for Interop ITX 2018.

, author Ken Kesey commented on this phenomena: “[the Dead] weren’t just playing what was on the music sheets, they were playing what was in the air.

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The Dead also not only allowed but actually fans to tape the concerts, eventually setting up a “taper’s section” for them.

Data scientists and data science teams face similar challenges, which Dev Ops concepts can help address.

Senior executives who have been making hollow promises about embracing data-driven strategies need to be convinced that now is the time for real action.

Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production.

Dev Ops has promoted more collaboration between developers and IT operations.

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