Tech Bytes
Technology Trends To Look Out For In 2025
By Murithi Magiri
It is yet another trip round the sun. Anno domino 2024 has been gracious to us and we are now setting sights on 2025. Despite economic challenges and political uncertainties technology advances have kept pace and leaps with attendant opportunities and challenges. That brings us to the germane question“ which technology trends can we look out for in 2025?”.
AI rave is here and it is not about to dissipate. A number of technology solutions will be built around AI opportunities, threats and challenges. Take AI Governance Platforms that help manage and control AI systems by ensuring they are used responsibly and ethically. There are has been very loud and valid fears about AI usage. The AI Governance Platforms help ensure that AI is reliable, transparent, fair and accountable while also meeting safety and ethical standards. Jasleen Kaur Sindhu, VP Analyst at Gartner had this to say“ When you use a bank’ s mobile app or website, AI is often behind features like fraud detection, loan approvals and personalized finance advice. An AI governance platform helps the bank ensure these systems are making decisions fairly and ethically, protecting
data and complying with regulations.”
Some of the use-cases include; guiding AI models through the model governance process to ensure all appropriate gates and controls are followed during the model life cycle, assessing potential risks and harms that AI systems may pose, such as bias, privacy violations and negative societal impacts. Another use-case is Tracking usage, monitoring AI system performance, auditing decision-making processes and ensuring AI systems remain aligned with governance standards over time.
Another trend in AI is Agentic AI. This refers to software programs that are designed to independently make decisions and take actions to achieve specific goals. These programs combine various AI techniques with features like memory, planning, sensing the environment, using tools and following safety guidelines to carry out tasks to reach objectives on their own.
Agentic AI have varied use-cases, in marketing they can be used to manage a marketing campaign by monitoring performance, adjusting strategies, and optimizing results. In HR, they
As AI and machine learning tools become more advanced and accessible, disinformation targeting enterprises is expected to rise, posing significant and lasting risks if left unchecked. That is where Disinformation Security comes into play. It is designed to help identify what can be trusted.
can handle administrative tasks like recruitment, onboarding, and performance management. They can also act as personal assistants to manage a user ' s digital ecosystem by integrating with other apps. Some examples include Microsoft AutoGen, GitHub Copilot Workspace, and Google AI Teammate.
As AI and machine learning tools become more advanced and accessible, disinformation targeting enterprises is expected to rise, posing significant and lasting risks if left unchecked. That is where Disinformation Security comes into play. It is designed to help identify what can be trusted. The goal is to create systems that ensure information is accurate, verify authenticity, prevent impersonation and monitor the spread of harmful content. It is facing the enemy and stopping him in his tracks, facing your fears as they say. Phishing, fake news and social engineering are all being turbocharged by bad actors intent on sowing fear, spreading havoc, malevolent acts and of course theft.
Some of the use-cases include Intelligence monitoring for narratives spread through mass or social media, such as those targeting an executive leadership team, products, services or brand. And also preventing the impersonation of individuals doing business with an organization, such as employees, contractors, suppliers and customers.
New frontiers of computing such as quantum computing will also herald new opportunities and challenges. We have heard of hybrid computing, and with advances in quantum computing this will be taken a notch higher. Hybrid computing combines various technologies such as CPUs, GPUs, edge devices, ASICs, and neuromorphic, quantum and photonic systems to solve complex computational
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