With machine learning, AI and privacy all becoming priority initiatives for companies, why has the data tug-of-war between IT and developers become such a challenge?

The tension between data science teams and IT departments stems in part from cultural differences. Traditionally, data science is rooted in a “hacker,” outside-the-box, experimental culture while IT professionals come from a process-oriented “design & build” mindset.

The tools most data scientists use are open workbenches, with many different programs, mostly open source, and a ‘the more data the better’ orientation. Data scientists usually want ALL the data, and need to explore it before they even know what to try. IT must provide only the necessary data and ensure it is private and safe.

Please register to continue.

Already registered? Log in.

Once you register, you'll receive:

  • News analysis

    The context and insight you need to stay abreast of the most important developments in cybersecurity. CISO and practitioner perspectives; strategy and tactics; solutions and innovation; policy and regulation.

  • Archives

    Unlimited access to nearly 20 years of SC Media industry analysis and news-you-can-use.

  • Daily Newswire

    SC Media’s essential morning briefing for cybersecurity professionals.

  • Learning Express

    One-click access to our extensive program of virtual events, with convenient calendar reminders and ability to earn CISSP credits.