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Data science techniques are getting better, cheaper, and easier to use.
Even small and medium sized organizations can now tap these technologies.
Here's how to get ready for a future of new technology, including AI, natural language processing, and Io T.
Alexa's popularity among consumers serves as a wake-up call for businesses.
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.
With the rise in attacks on stadiums, airports, and concerts, along with the increased severity of natural disasters such as hurricanes and floods, researchers at Embry-Riddle are studying how humans behave on the worst days of their lives.
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.
A new report from Accenture recommends taking a different approach.
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.