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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.

Whether you are a CIO, IT manager, or an IT pro, today's dynamic workplace presents new issues and challenges.

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

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.

Bitcoin is a parallel currency with which you can begin to trade, and no middleman to take their slice or to gamble with your asset.

When you deposit money to a Bank, it becomes the Banks property to do with what they choose, bitcoin is different, and you are your own Bank.

Now IT pros have to make sure that cloud technology is applied the right way, delivering the solutions that business managers need.

Data science techniques are getting better, cheaper, and easier to use.

Alexa's popularity among consumers serves as a wake-up call for businesses.

Eventually, voice interfaces will replace keyboards, taps and swipes, but organizations must be wary of approaching voice interface design the same way they've approached web and mobile design. If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning.

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

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