FEATURE : AI
Key takeaways
• AI is not just another technology or business case .
• The most compelling applications of AI and ML technology can often be found behind the scenes .
• According to McKinsey ’ s 2022 Global Survey on Artificial Intelligence , uptake and implementation of AI has more than doubled .
• Financial institutions are discovering the power of ML to identify anomalies within large volumes of data that may indicate fraud .
• Organisations across industries can employ AI and ML tools to extract and analyse information from documents and to reduce the burden of manual data entry .
• The fact of the matter is that we are now way beyond digital . It is the next era of computing and opportunity .
• Cognitive systems are defined by their ability to think . This is what sets cognitive computing apart .
• Cognitive systems can learn , reason and act based on proficiency and experience , as opposed to following rules that have been programmed .
• The right AI tool will vary according to application .
• Large language models are revolutionising content management and transforming the ways in which we interact with unstructured content .
• Revolutionising content management refers to the process of extracting insights , patterns , useful information from unstructured data sources which do not have a predefined model or format .
• With ability to comprehend context , extract semantics and knowledge , and automate content management tasks , LLMs are unlocking new value in the content management system .
• Morgan Stanley reports that in the evolving landscape of AI , both cybersecurity teams and hackers are using AI to their advantage .
• Detecting actual attacks more accurately than humans , creating fewer false-positive results , and prioritising responses based on their real-world risks .
• Identifying and flagging the type of suspicious emails and messages often employed in phishing campaigns .
• Simulating social engineering attacks , which help security teams spot potential vulnerabilities before cybercriminals exploit them .
• Analysing huge amounts of incident-related data rapidly , so that security teams can swiftly take action to contain the threat .
Additionally , AI has the potential to be a gamechanging tool in penetration testing , intentionally probing the defences of software and networks to identify weaknesses . By developing AI tools to target their own technology , organisations will be better able to identify weaknesses before hackers can maliciously exploit them . Preventing breaches before they occur will not only help to protect individual and company data but will also reduce business IT costs . p
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