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- Tuesday, October 07, 2026
In conversation with Abhishek Punia, Co-Founder & CEO, ARM Worldwide, about the opportunities, challenges, and what the future holds for modern marketing in an AI-first world.
ABHISHEK PUNIA
Co-Founder & CEO, ARM Worldwide
AI is automating repetitive work, giving teams more time to think and create.
Campaigns, content and audience insights are coming together for better decisions.
Real-time data is helping brands understand what works and why.
Marketing is changing fast. AI is now part of everyday workflows – from content and campaigns to customer insights and creative production. But with this rapid adoption comes a new set of questions. Will AI make brands sound similar? What should not be automated? And how can businesses, especially MSMEs, use AI without losing what makes them unique? To explore these questions, we spoke with Abhishek Punia, Co-Founder & CEO, ARM Worldwide, a marketing and communications company that helps brands grow through strategy, creativity, and technology.
Abhishek Punia is the Co-Founder & CEO of ARM Worldwide, a marketing and communications company that helps brands grow through strategy, creativity, and technology. With extensive experience across industries, he works closely with businesses – from startups and MSMEs to established brands – to build meaningful connections with their audiences in an increasingly digital world.
To understand how these changes are happening in practice, we spoke with Avinash Naik from Bajaj General Insurance Limited about their perspective on AI adoption, opportunities, and the future of insurance.
Insurance has always been built around one
fundamental question:
“How do we better understand uncertainty?”
For decades, insurance companies have relied on historical data, human expertise, established risk models to understand uncertainty and make decisions.
Past claims, customer behaviour
Underwriters and risk specialists
Statistical frameworks built over decades
Today’s insurance landscape generates more data, moves faster, and demands more personalized decisions.
Before
Respond after events
Human-driven processing
Standard policies
Now
Anticipate risks earlier
Automated decision support
Customer-specific experiences
AI analyzes larger datasets to identify patterns humans may miss.
Faster processing through automated document and information analysis.
More relevant recommendations and personalized interactions.
Identifying unusual patterns through advanced analytics.
Featuring
Bajaj General Insurance Limited
AI is becoming a new layer of intelligence between data, decisions, and customer experiences.
AI & Enterprise Technology
Timely perspectives on artificial intelligence,
enterprise technology and the future of work.
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