Discover how AI agents are transforming the world of go-to-market strategies in this insightful episode with Arjun Pillai, co-founder of Docket AI.
Dive into the future of autonomous selling, enterprise knowledge management, and how large language models are finally unlocking the ability to harness unstructured data from across organizations.
Arjun shares how his background in sales tech and data has led to the development of powerful, agentic AI solutions that streamline workflows, improve buyer experiences, and accelerate revenue generation through multimodal interactions and reasoning-capable models.
We explore key shifts in AI architecture, including the rise of inference-time compute, agentic frameworks, and the multimodality of voice-enabled interfaces.
Learn how enterprises can prepare for AI-native transformation while avoiding common adoption pitfalls, and gain tactical insights into how AI can augment or even automate marketing and sales functions.
This episode is essential listening for anyone looking to stay ahead in the rapidly evolving AI-driven business landscape.
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⏰ TIMESTAMPS:
0:00 - Breakthroughs In AI Reasoning Models
1:01 - Meet Arjun Pillai Of Docket IO
3:00 - Startup Journey And Sales Tech Background
5:04 - Why Docket IO Was Created
9:00 - Unlocking Tribal Knowledge With AI
13:00 - Agentic Architecture And Reasoning Models
17:04 - Autonomous Selling With AI Agents
21:00 - Voice Technology And Future Of AI Communication
29:00 - Enterprise AI Adoption Barriers
35:00 - Incentivizing Teams To Use AI
41:00 - How AI Can Optimize Internal Operations
46:00 - Final Tips For Successful AI Integration
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