Artificial Inteligence Governance Monitoring Sustainability 
International Institute for Learning
SEPTEMBER 21, 2022
Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). Data cleansing and data governance becomes critical when AI mechanisms are being used in portfolio decision and monitoring processes. By Dr. Elissa Farrow. References .
International Institute for Learning
SEPTEMBER 20, 2022
Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). Data cleansing and data governance becomes critical when AI mechanisms are being used in portfolio decision and monitoring processes. By Dr. Elissa Farrow. References .
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Epicflow Blog
JANUARY 30, 2024
Diverse Applications of Artificial Intelligence The application of artificial intelligence (we also include here machine learning, automation, predictive analytics, and generative AI) is gaining momentum in the project management landscape, revolutionizing the ways projects are planned and managed.
Project Pulse Journal
MAY 13, 2024
These goals often include optimizing cost efficiency, guaranteeing high quality and reliability of supplies, managing risks related to supply chain disruptions, and adhering to sustainability and ethical sourcing standards. Efficient resource planning and risk assessment are key components here.
Wrike
SEPTEMBER 3, 2023
Monitor and refine: Continuously monitor the outcomes of data-driven decisions, refining and adjusting strategies as needed to optimize performance. One such trend is the adoption of artificial intelligence and machine learning algorithms to analyze and derive insights from vast amounts of data in real-time.
Wrike
OCTOBER 5, 2023
Inventory Control: MRP enables businesses to monitor and control inventory levels effectively. This involves implementing data validation techniques, conducting regular audits, and establishing data governance policies. To avoid this, invest in accurate forecasting tools that utilize advanced algorithms and machine learning techniques.
Wrike
JULY 23, 2023
Each mitigation strategy should be tailored to the specific risks and circumstances of the organization Clear roles and responsibilities for implementing and monitoring the plan. Not learning from past case studies of failed mitigation strategies: These will shed light on the potential pitfalls and challenges that organizations may encounter.
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