INTERVIEW WITH ...
With AI ’ s market size hitting the roof and its adoption spreading like wildfire , as CIOs we can ’ t afford to be left in the dark . AI is becoming the daily bread and butter for businesses , offering a whole new world of possibilities and hurdles to overcome . It ’ s a wild ride , but CIOs should know they can ’ t let this golden opportunity slip through their fingers .
Q . WHAT ARE THE WAYS IN WHICH BUSINESSES CAN UNLOCK THE POWER OF AI ?
» Data is the foundation of AI . It encompasses vast amounts of information collected , stored , and processed to train accurate models . High-quality , diverse data enables AI to generalise knowledge and uncover valuable insights . For example , an optical fibre manufacturing company can use data from networks to monitor performance , detect abnormalities , and address failures .
However , data security is crucial and CIOs must implement the necessary security measures . Collaboration with legal teams ensures compliance , while data governance sets standards , cleansing procedures , and validation mechanisms . As the world ’ s use of AI matures , CIOs should leverage existing platforms to make data more meaningful for respective organisations to consume .
The dynamic nature of this technology is most helpful as it ensures adaptability to changing environments . It can learn from new data , adjust its algorithms , and optimise performance based on changing circumstances . Businesses can stay agile , respond to market shifts , and deliver more personalised experiences to customers . AI technologies are highly scalable , meaning businesses can handle increasing volumes of data and complex tasks without significant resource constraints .
Q . WHAT ARE THE MOST IMPORTANT ELEMENTS TO CONSIDER WHEN IT COMES TO ETHICAL AI ?
» AI ’ s dynamic nature can introduce bias if trained on biased or incomplete data . CIOs should ensure fairness by promoting transparency , accountability , and ethical AI practices . Collaboration with experts will help identify and mitigate bias . Adopting explainable AI techniques would enhance trust and regulatory compliance . Interpretable models and frameworks would aid in understanding and communicating AI outputs . Ethics committees would oversee initiatives , ensuring adherence to guidelines .
Deployment or the process of implementing and integrating AI solutions is where we get into real-world applications . AI deployment can unlock new insights ,
18 October 2023