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Careers in artificial intelligence

• 5 mistakes that disrupt data science best practices

  Through asking questions and understanding the real-world issues other parts of the company face, data scientists polish their enterprise contribution. Continue Reading

• The future of data science and AI points to automatic tools

  The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools. Continue Reading

• Recruiting data scientists for AI and machine learning

  When hiring data scientists, be sure to include your data science team in the interview process, and strive to build a data-literate HR department. AI tools may also help. Continue Reading

• Data science skills spawn success in AI, big data analytics

  AI and big data analytics initiatives require a broad set of skills, and putting those skills in place often takes teams of data scientists with different strengths. Continue Reading

• Reskilling the analytics team: Math, science and creativity

  Technical skills are a must for data scientists. But to make analytics teams successful, they also need to think creatively, work in harmony and be good communicators. Continue Reading

• AI for business operations starts to offer value

  Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers.Continue Reading

• At AT&T, CDO responsibilities to include all things AI

  At most companies, the chief data officer role tends to focus on data governance and management issues, but at AT&T, AI is set to be a big part of the executive's remit.Continue Reading