Artificial intelligence is changing the business landscape, impacting various industries and redefining the scope and functionality of business management solutions. It’s the same with risk management, where AI is a serious game-changer.
Risk managers need to make big data and artificial intelligence central to the risk management process, or risk to lose perspective and competitive advantage, so much that the late or no implementation of AI for risk management has become a risk in itself!
Enterprises should first acknowledge the AI impact on the business model and the various benefits in the risk environment where a lack of insight and errors could cost companies major loss of revenue and reputation.
Traditional risk management focuses on the known risks and possibilities, but often failing to anticipate the unexpected and risks such as off-radar risks and disruptive technologies. Most often, there is not enough data to analyse current patterns and formulate insightful predictions, which leave enterprises unprepared to face the future.
Limited or unstructured data is a major challenge. Business intelligence tools and big data analytics and algorithms can make sense of this data to improve risk insights.
With AI and machine learning in the picture, companies can finally leverage the capability to explore unknown risks and blind spots, and gain a more in-depth look at business challenges and opportunities based on accurate and reliable data fed into the system.
Our SHEQX (Safety, Health, Environment and Quality) management solution, part of the XGRC product range, is an integrated management system that aggregates SHEQ data in a single, auditable database, to manage analysis and reporting effectively.
Artificial intelligence is changing the business landscape, impacting various industries and redefining the scope and functionality of business management solutions. It’s the same with risk management, where AI is a serious game-changer.
Risk managers need to make big data and artificial intelligence central to the risk management process, or risk to lose perspective and competitive advantage, so much that the late or no implementation of AI for risk management has become a risk in itself!
Enterprises should first acknowledge the AI impact on the business model and the various benefits in the risk environment where a lack of insight and errors could cost companies major loss of revenue and reputation.
Traditional risk management focuses on the known risks and possibilities, but often failing to anticipate the unexpected and risks such as off-radar risks and disruptive technologies. Most often, there is not enough data to analyse current patterns and formulate insightful predictions, which leave enterprises unprepared to face the future.
Limited or unstructured data is a major challenge. Business intelligence tools and big data analytics and algorithms can make sense of this data to improve risk insights.
With AI and machine learning in the picture, companies can finally leverage the capability to explore unknown risks and blind spots, and gain a more in-depth look at business challenges and opportunities based on accurate and reliable data fed into the system.
CONTACT XGRC SOFTWARE – A STRATEGIX COMPANY AT 087 802 0179 OR EMAIL US AT [email protected] FOR MORE INFORMATION.
