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31-Jan-2017 13:37

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.

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.

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.

Here are some ways that data professionals can gain the support they need.

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.

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Not everything over there is fully functional yet, and the internal links still point to this blog, and will for the indefinite future.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.Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production.Whether you are a CIO, IT manager, or an IT pro, today's dynamic workplace presents new issues and challenges.



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