Building a Growth LM That Actually Gets Your Business/Position2 - Arena, Calibrate, LSTM ~ Spark of Ages Ep 39
Manage episode 487106531 series 3521501
In this eye-opening conversation, join host Rajiv Parikh as he unveils Arena AI – their revolutionary platform that's transforming how marketing campaigns are planned, executed, and optimized. Sajjan Kanukolanu (VP of Global Operations) and Vikrant V.(CTO) walk us through how their team has embedded 20 years of marketing expertise into a system that combines project management, unified analytics, and AI agents that execute real marketing work.
• Arena includes project management specifically designed for marketing workflows
• The Calibrate interface provides unified dashboards pulling data from 130+ platforms
• RPA technology connects even to custom platforms without APIs
• AI co-pilot powered by multiple agents that execute specific marketing tasks
• Built on what Position Squared calls their "Growth Language Model"
• Platform incorporates 20 years of industry-specific marketing expertise
• System provides 95% accurate predictive analytics using LSTM neural networks
• Campaign strategies incorporate industry data and competitor analysis
• Human oversight remains crucial at decision points for optimal results
• AI agents work together to handle everything from ICPs to ad creation
The marketing technology landscape has exploded with specialized tools, leaving marketers buried under mountains of disconnected data and endless manual tasks. What if there was a way to harness artificial intelligence not just for insights, but to actually do the work?
The most fascinating aspect of Arena isn't just its ability to connect data from hundreds of platforms (even proprietary ones without APIs), but how it deploys specialized AI agents to handle specific marketing tasks. Unlike generic AI tools that provide broad recommendations, Arena's Growth Language Model understands the nuances of different industries and buyer personas, delivering highly targeted strategies that have historically driven results.
What makes this conversation particularly valuable is how openly the team discusses their journey from service provider to software company. Their practical approach demonstrates that effective AI implementation isn't about theoretical capabilities, but about solving real problems that marketers face daily.
Sajjan Kanukolanu: https://www.linkedin.com/in/sajjank/
Sajjan serves as Vice President of Global Operations & Strategy at Position². He has experience as a digital marketing, growth & digital experience strategist and previously led strategy & growth at Ogilvy, & Wunderman. Sajjan is an AI Advisor and Speaker, having accepted a role on the AI Advisory Board at the University of San Francisco School of Management. He holds a Ph.D. in Marketing, an MBA, and an MS Electrical Engineering.
Vikrant V.: https://www.linkedin.com/in/vikrantv/
Vikrant V is the Chief Technology Officer at Position². Prior to his current role at Position², he served as Chief Technology Officer at TiLa from July 2020 to September 2023. Vikrant has led large ecommerce and analytics teams at Amazons and Moneyview, a fast growing fintech company. Vikrant holds an MS in Software Systems from Birla Institute of Technology and Science, Pilani.
Website: https://www.position2.com/podcast/
Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/
Sandeep Parikh: https://www.instagram.com/sandeepparikh/
Email us with any feedback for the show: [email protected]
Chapters
1. Building a Growth LM That Actually Gets Your Business/Position2 - Arena, Calibrate, LSTM ~ Spark of Ages Ep 39 (00:00:00)
2. Introducing Position Squared's Big Announcement (00:00:14)
3. Meet the Position Squared Leadership Team (00:02:25)
4. What is Arena and Its Core Capabilities (00:04:55)
5. Data Integration and Campaign Management (00:08:59)
6. AI Models and Predictive Analytics (00:19:54)
7. Fast Q&A on AI Integration (00:30:38)
8. Spark Tank Game: AI Fact vs Fiction (00:39:35)
9. Personal Insights from the Team (00:48:07)
10. Closing Thoughts on Digital Transformation (00:54:47)
39 episodes