Big Data and Artificial Intelligence Principles and Practices

Why Attend

This 5-day course is a combination of the two back-to-back courses: Big Data Principles and Practices (3 days) and Artificial Intelligence Principles and Practices (2 days).  It provides a discounted, 5-day option to participants who choose to learn about both topics and their roles in Data Management.

The rise of Big Data has accelerated the pace of disruption in virtually every industry, creating vast ambiguity and unease. However, these changes are also creating enormous opportunities, as the tools to prosper during the age of Big Data disruption are becoming more accessible and available. To become a disruptor, embracing Big Data and deep diving into the technology is only a part of the answer. It needs to be combined with understanding how Big Data can drive value within our functions, companies, and industries.

  • Course Objectives

    By the end of the course, participants will be able to:

    • Assess and explain the value that Big Data and AI can deliver to their industries, companies, and functions
    • Demonstrate Big Data and AI technologies and their benefits
    • Develop the maturity of Big Data within their organization
    • Apply a variety of use cases to drive ideation
    • Build an organization-wide Big Data program
    • Discuss on a qualified level with business and data specialists on relevant topics
  • Target Competencies

    • Formulate business objectives for Big Data
    • Project management of Big Data and/or AI
    • Big Data and AI change management
    • Big data technology sensing
    • AI Best Practice Application

What is the target audience?

  • Target Audience

    This course is designed for: organizational managers and leaders looking to understand Big Data and Artificial Intelligence, and take ownership of the data management agenda within their companies; functional leaders that are designing the Big Data and/or AI Roadmaps for their function; Big Data practitioners ready to take a business view on Data Management; and experienced practitioners looking to gain latest insights.

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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed