OpinionPREMIUM

How AI will change project management

With faster responses to needs and demands, better utilisation of resources, improved control and performance, project-based organisations have the flexibility to maximise their efforts in core institutional projects.

The US justice department on Thursday named its first official focused on artificial intelligence. File photo.
The US justice department on Thursday named its first official focused on artificial intelligence. File photo. (DADO RUVIC/REUTERS)

Three years on from the Covid pandemic, South Africans are battling market volatility, political turmoil, load-shedding, a strained economy and uncertainty about what the future holds, both locally and globally: the war in Ukraine, galloping inflation, tension between China and the US, especially over Taiwan, the Israel-Hamas war, war in Sudan ...

No-one knows how these global events will evolve. South African challenges are further compounded by mass unemployment and social unrest, dreadful education systems, poor service delivery and uncertainty caused by this year’s general election. All are equally alarming, though the outcomes are perhaps slightly easier to predict.

As leaders we are expected to be a reassuring presence, to help our people navigate these challenges.

With faster responses to needs and demands, better utilisation of resources, improved control and performance, project-based organisations have the flexibility to maximise their efforts in core institutional projects.

Due to the complexity of service delivery, organisations cannot simply rely on one strategic project, but rather several parallel initiatives that must integrate to achieve organisational objectives.

Projects must co-ordinate the efforts of multiple cross-functional teams operating in different functional areas and even geographical locations.

More often than not, project information needs to be shared and presented to an increasing number of stakeholders, including top management, clients, suppliers and governing bodies whose impact can threaten or strengthen the project outcome at any moment.

Projects must co-ordinate the efforts of multiple cross-functional teams operating in different functional areas and even geographical locations

The future of project management will be heavily influenced by technological breakthroughs, and there is no doubt that artificial intelligence (AI) will change the course of how project management tasks are delivered and controlled in the future. For example:

  • AI is increasingly being incorporated into project management tools and processes. It assists with tasks such as resource allocation, risk assessment, and decision-making;
  • The trend towards flexible work arrangements continues. Project managers need to adapt to remote work, hybrid models and diverse team structures;
  • Effective resource allocation and management are critical. Project managers will focus on optimising resource utilisation and ensuring teams have the right skills and capacities;
  • Organisations are shifting their focus from merely completing projects to achieving tangible benefits. Project managers will play a key role in measuring and maximising project outcomes;
  • The importance of knowledge sharing and collaboration within project teams remains high. Tools and practices that facilitate communication and knowledge transfer will be prioritised; and 
  • Traditional project management skills alone are insufficient. Skills like organisational awareness and financial acumen are gaining prominence. Additionally, project managers will take on roles as teachers, fixers and orchestrators, emphasising human aspects beyond routine tasks.

These trends are dynamic, and the project management field will continue to evolve. Staying informed and adaptable is crucial for success in this ever-changing landscape.

We have recently evidenced the positive impact of some of these tools such BIM (building information modelling), digital twins, augmented reality, ChatGPT, Asana and unmanned aerial vehicles (UAVs or drones) that can be applied for the efficient and effective design, planning, real-time monitoring and evaluation, and document the management of projects. The proliferation of these technologies will further enable the project management profession’s capacity to deliver effective and efficient project management services.

Some notable developments in the AI disciplines include Rio Tinto Group preparing for the trials of battery-powered locomotives in Australia where it uses giant autonomous trains — the world’s largest robots — to transport iron ore; and African Development Bank and Google signing a letter of intent to formalise co-operation aimed at advancing digital transformation across Africa.

• Mgolombane is a project leadership executive with more than 25 years' experience managing complex mega projects across sectors such as railways, finance, defence and petrochemicals


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