Spark of Ages
Rajiv Parikh, Sandeep Parikh
Booking Overview
Spark of Ages explores the rapid development of AI through a practical marketing and go-to-market lens, centered on how business leaders turn AI into real enterprise outcomes. It’s a strong fit for guests who can speak to AI product strategy, data moats, and the operational/governance realities of deploying AI.
Metrics
60 episodes, Irregular, 5.0 rating
<1k, Male, USA
Contact Information
Description
The Spark of Ages podcast is about the rapid development of Artificial Intelligence through a marketing lens. We are living in the middle of the most important "spark for the ages". Our episodes are either about looking back to teach us what we can learn for this moment, or looking forward for where the next spark might be.We highlight the stories from business leaders at the intersection of marketing, technology and innovation.
Host
Rajiv Parikh, Sandeep Parikh
Categories
Marketing, Business, Management, Technology, Entrepreneurship, Tech News
Booking Intelligence
Booking Requirements
medium
Typical Credentials:
Founders/CEOs building AI infrastructure or enterprise AI platforms; VCs investing in applied AI/inference/deep tech; senior product leaders with prior large-company experience (e.g., Google); executives who can connect AI architecture/ops with customer value and commercialization.
Required Achievements:
Built or led successful AI/SaaS/infra companies (often with notable acquisitions or category leadership), VC track record in applied AI or inference infrastructure, Executive-level product leadership at major technology companies, Authored or widely recognized thought leadership on AI product strategy, data/defensibility, governance, or enterprise adoption
Recent Guest Discussions
Oren Michaels - Enterprise AI Roi; Control Plane For Agentic Systems; Least-privilege/intent-based Governance; Mcp; Scaling Protections; AI Connectivity Vs Chat Read-only Workflows, Priya Ramachandran - Investor/operator Perspective On Cloud/ai Procurement Economics; Why Finops Can’t Keep Up With Token Volatility; Ai-native Go-to-market Trust Dynamics, Ankur Srivastava - Cloud Marketplace Procurement; Saas Deal Right-sizing; AI Unit Economics/inference Cost Volatility; Procurement/finops Shift; Outcome-based Pricing Challenges, David Yakobovitch - AI Moats Via Data/product; Marketing To Algorithms/buyer Agents; Pilot-to-production Gap; Defense/physical Ai; Multi-model Workflows
Recent Topics
Artificial Intelligence, Ai Governance, Enterprise, Go To Market, Product Strategy, Venture Capital, Data Moat, Inference, Procurement, Innovation
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