G18GITEX 2018TechTalks · Big Data

Mining Big Data

What are the watch outs and risks?

Dr. Gurdal Ertek’s notes for the GITEX 2018 Big Data Tech Talk.

  What are the watch outs and risks?
  • Data Privacy / GDPR
  • Risk 1: Lack of proper cybersecurity practices.
  • Risk 2: Scarcity mentality: “If AI-based systems are used, I will lose my job.”
  • Risk 3: Being too late:
    • Every company will do it. Better be the first to do it. Customers remember first moments.
  • Risk 4: Choosing wrong Leaders or Suppliers.
    • Really hard to find a good experienced data scientist these days.
    • Both choices have cons:
      • Outsourcing to Big IT & Consulting companies (IBM Watson): Expensive consulting fees and technology dependence.
      • Open source (R, Python): High salary & dependence on the technically savvy person.
    • Not everyone is a data “scientist” (Difference between data “scientist” and data “engineer”).
    • You may not really need full-time data scientist, but maybe just a data engineer at lower cost, who will grow to become a data scientist.
    • The first person you will hire for big data should have at least 5 years experience in BI, and a technical background.
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