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Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well.
Dev Ops has promoted more collaboration between developers and IT operations.
Data scientists and data science teams face similar challenges, which Dev Ops concepts can help address.
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.
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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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.