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• Guide to using advanced analytics and AI in business applications

  AI hype is becoming reality as the technology gains ground in businesses. Get tips on machine learning, cognitive computing and other advanced analytics initiatives in this guide. Continue Reading

• Predictive analytics projects can bolster business decisions

  Blind faith in predictive models can result in flawed business decisions. Analytics teams need to manage predictive processes carefully to keep things on the right track. Continue Reading

• Hiring vs. training data scientists: The case for each approach

  Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert. Continue Reading

• The justification for running multiple mobile analytics tools

  Finding a mobile analytics tool that will properly serve all end users is nearly impossible, eBay's BI manager says. Continue Reading

• Anxieties about big data technology trends are valid

  Criticism of big data technology trends may go too far, but proponents shouldn't dismiss the critiques. Continue Reading

• Selecting the right SQL-on-Hadoop engine to access big data

  Rick van der Lans explains why it's important to evaluate the differences in the technologies that make it possible to access Hadoop data using SQL.Continue Reading