* Standardised teaching to adaptive learning
AI is shifting education from uniform instruction toward data-informed learning models.
* Adaptive learning platforms
AI systems analyse student performance and engagement patterns to adjust lesson difficulty
in real time. Gaps are identified early, allowing targeted intervention.
* Intelligent tutoring systems
Virtual tutors provide explanations, feedback and practice exercises on demand. These systems
scale across thousands of learners simultaneously.
* Automated assessment and feedback
AI tools assist in grading assignments and analysing written responses, reducing administrative
burden and freeing educators for mentorship and deeper instruction.
Impact. AI is enabling scalable personalisation that was previously limited to one-on-one
teaching.
Healthcare
* Diagnosis to prediction
Healthcare remains one of the most consequential domains for AI deployment.
* Medical imaging and diagnostics
AI models analyse scans to detect cancers, strokes and respiratory conditions with increasing
accuracy, assisting clinicians in faster diagnosis.
* Predictive risk modelling
Algorithms process patient histories to assess disease risk and enable preventive interventions.
* Drug discovery and research acceleration
AI tools identify molecular compounds and simulate outcomes, compressing early-stage research
timelines.
Impact. AI is strengthening the shift from reactive treatment to preventive and precision care.
Entertainment
* Personalisation and production at scale
AI is altering both how content is created and how it is consumed.
* Recommendation engines
Streaming platforms use behavioural date to personalise viewing and listening experiences.
* Content production tools
AI assists in editing, script drafting, animation workflows and visual effects enhancement.
* Synthetic media technologies
AI-driven dubbing, voice synthesis and digital avatars are expanding multilingual and global
content distribution.
Impact. AI is increasing production efficiency while tailoring content to individual users.
Tailpiece.
Got up at 5, sent all the messages. Lit up the puja room lamp, switched on the hymns on the home theatre and opened up the house for the day.
Morning cuppa with Lekha.
Walked within the house; recited my prayers.
Bath, followed by breakfast of appams and dry coconut chutney.
Worked on my laptop.
Lunch, watched "Snehakkoottu" on television, followed by siesta.
Suresh and Babu - of the Asian Paints team - worked on the roof and had applied the first coat of paint by the end of the day.
The evening chores.