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Top quantitative executive recruiter Linda Burtch of Burtchworks provides insight into how to keep yourself competitive in data science, business intelligence, and other analytics-related careers.

Here's how to get ready for a future of new technology, including AI, natural language processing, and Io T.

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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.

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

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.

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.

There are best practices for approaching chatbots and virtual assistants as organizations move to a scenario where tasks happen transparently behind natural language interfaces. In today's technology-driven world, "innovation" has become a basic expectation.

IT leaders are tasked with making technical magic, improving customer experience, and boosting the bottom line -- yet often without any increase to the IT budget.

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

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