Project Management

Fielding AI Project Teams: 8 Important Roles

Michael R. Wood is a Business Process Improvement & IT Strategist Independent Consultant. He is creator of the business process-improvement methodology called HELIX and founder of The Natural Intelligence Group, a strategy, process improvement and technology consulting company. He is also a CPA, has served as an Adjunct Professor in Pepperdine's Management MBA program, an Associate Professor at California Lutheran University, and on the boards of numerous professional organizations. Mr. Wood is a sought after presenter of HELIX workshops and seminars in both the U.S. and Europe.

Technology advances in artificial intelligence make it increasingly important for IT project management teams to be equipped with the skills needed to tackle AI projects. The good news is that most IT project teams can become AI project-ready with the proper training and guidance.

  1. To start, teams need a thorough understanding of AI and its potential applications in their industry. This can be achieved through education and on-the-job training.
  2. Additionally, teams should focus on developing data analysis, machine learning, and natural language processing capabilities.
  3. It’s also essential for teams to understand the ethical considerations surrounding AI and how to ensure their projects are transparent and unbiased.

By investing in the necessary training and skill development, IT project management teams can position themselves to successfully tackle AI design and deployment projects.

The Elements of AI
At its core, AI is the development of computer systems and applications that perform tasks that typically require human intelligence, including experiential learning, problem-solving, and decision-making.

One of the key components of AI is machine learning, which involves training algorithms that recognize data patterns and make predictions based on that information. Another vital component is natural language processing, enabling computers to understand…

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