Artificial-Intelligence-in-ICT (23BIT215 Technical presentation)

Communication skills - 3 assignment.
technical presentation
23BIT215

1. Artificial Intelligence in ICT Presenter: Vrushank Mehra | Roll No. 23BIT215

2. What is Artificial Intelligence? AI enables machines to simulate human intelligence through learning, reasoning, perception, and decision-making. Rather than following rigid instructions, AI systems evolve and adapt based on experience. Machine Learning Learning from data patterns Deep Learning Neural networks, layered thinking NLP Understanding human language

3. AI's Role in ICT: Transforming Technology Workflow Automation Automates complex network management and operational tasks, dramatically enhancing efficiency and reducing manual overhead. Intelligent Security AI-driven cybersecurity systems provide continuous monitoring and real-time threat detection to protect digital assets. Predictive Insights Analyses vast datasets for predictive maintenance, optimised user experience, and data-driven decision-making at scale.

4. Types of AI in ICT Reactive Machines Basic rule-based systems without memory. Example: IBM Deep Blue, responding to immediate inputs only. Limited Memory AI Current dominant approach. Learns from historical data to improve decisions over time. Powers spam filters and recommendation engines. Theory of Mind Emerging research focusing on understanding emotions, intentions, and reasoning. Not yet realised in ICT applications. Self-Aware AI Speculative future concept. Could revolutionise adaptive ICT services but remains theoretical for now.

5. Key AI Technologies in ICT Natural Language Processing Enables chatbots and virtual assistants like Siri and Alexa to understand and respond to human conversation naturally. Computer Vision Processes and interprets visual data for facial recognition, image analysis, security systems, and automated monitoring. Robotics & Automation Intelligent devices autonomously manage network infrastructure, hardware operations, and service delivery.

6. Real-World AI Applications in ICT Cybersecurity Intelligence AI systems detect anomalies in network traffic patterns, identifying potential threats before attacks occur. Continuous learning improves detection accuracy. Customer Service Excellence AI chatbots deliver 24/7 multilingual support with sentiment analysis, understanding customer emotions and escalating complex issues appropriately. Network Optimisation: AI forecasts traffic loads and dynamically reallocates bandwidth and resources in real time, ensuring optimal performance.

7. Benefits of AI Integration in ICT Operational Excellence Increased efficiency and dramatically reduced human error through automation of complex, repetitive processes. Proactive Security Enhanced protection through continuous AI monitoring, enabling organisations to detect and prevent threats before they materialise. Personalisation at Scale Tailored user experiences and accelerated decision-making based on individual preferences and behaviour patterns. Human Creativity Freed Automation of routine tasks liberates teams to focus on innovation, strategy, and creative problem-solving.

8. Challenges and Ethical Considerations Data Privacy & Security Handling sensitive information poses significant risks. Organisations must implement robust safeguards and comply with regulations like GDPR and CCPA. Algorithmic Bias AI systems can perpetuate biases present in training data, affecting fairness and accessibility for marginalised communities. Over-Dependence Risk Excessive reliance on AI may erode human oversight, critical thinking, and professional expertise in decision-making. Transparency & Explainability Black-box AI systems undermine trust. Organisations must develop explainable AI approaches to understand how decisions are made.

9. The Future of AI in ICT Industry 5.0 Integration Human-centred, ethical systems Self-aware Systems Adaptive, ubiquitous ICT services Limited Memory AI Automation and security in ICT Theory of Mind AI Emotional intelligence and empathy Key trajectories: Universal accessibility tools ensuring inclusive communication, ethical AI frameworks prioritising human values, and integration with emerging technologies creating resilient, intelligent ICT infrastructures globally.

10. Conclusion: Embracing AI to Revolutionise ICT AI as Global Enabler AI fundamentally transforms ICT landscapes, creating smarter, faster, and more efficient systems worldwide. Responsible Innovation Maximising benefits whilst minimising risks requires ethical governance, transparency, and careful oversight. Human-AI Collaboration The future lies in partnership between human creativity and AI capability, building inclusive, intelligent technology. Thank you for your attention. Questions and discussion welcome.