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In 2025 organisations will grapple with how best to secure the right level of compute power to meet AI workloads . Companies will need to lean on their strategic partners to identify and prioritise their AI use cases . IT teams will experience increasing pressure to optimise the management , hygiene , which is currently spread across multiple systems and locations .
Many AI-powered tools in use today are based on static rules or datasets . Agentic AI differs in that it can continuously learn from user inputs and make decisions with little to no human oversight . Imagine a customer service AI that predicts user needs before a query is made , or a network management AI that identifies potential issues and resolves them autonomously , ensuring uninterrupted service .
In response to the rise of Agentic AI , we will see organisations implementing mandatory ethical guidelines to ensure fairness and transparency in algorithmic decisions and protecting intellectual property .
AI-powered humanoids will form a part of the future workforce . This will force companies to completely reimagine their workplace dynamics . For example , companies will need to ensure their connectivity has the right levels of latency and throughout to process and analyse data in real time . At the same time , organisations must ensure their security postures .
This human and machine collaboration will be inspiring and allow organisations to greatly scale operations but will also likely trigger concerns about AI replacing jobs . Leaders will need to be clear and uncompromising about harnessing AI ’ s power without losing the human touch that defines world-class customer experiences .
Advancements in quantum computing are increasing pressure on security teams to address the vulnerabilities of traditional encryption methods against quantum attacks . As these technologies gain traction , organisations must adopt quantum-resistant security protocols to protect sensitive data .
The interconnectedness of digital ecosystems complicates security , making attacks more sophisticated . According to the latest Cisco AI Readiness Index , only 30 % of companies globally have the capabilities to tackle these threats . As cybercriminals adapt their tactics , networks will become essential as the first and last line of defence . Integrating AI will enhance human capabilities , strengthening network security and policy enforcement .
Over 40 % of network outages are directly caused by misconfigurations , and can cost businesses 9 % of their total annual revenue . AI has the potential to virtually eliminate these manual misconfiguration mishaps .
Intelligent , automated tools can execute workflows throughout the network lifecycle and provide traceability for every action . AI-driven tools will revolutionise network management , learning from each configuration to reduce errors and ensure uninterrupted operations . As AI adoption increases , we expect to see a rapid decline in misconfigurations and network downtime caused by human error approach zero .
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