HubSpot's Data Management Challenge
Go to market teams have increasingly complex data needs. All those AI agents require high quality data to feed them. Can HubSpot keep up?
Agency Vision in an AI World
Creative agencies still have a key role to play, even as AI takes on the lion's share of content production
The AI Pricing Question
AI prices are going up. More expensive models at least answer one of the big unknown questions holding back corporate AI investments.
Systems of Record in the AI Age
Data management requires specialised workflows for each dataset. These exist in multiple different tools in the tech stack.
A Single System for Data Management
By breaking down the barriers to automation, AI allows data to be used much more productively.
Rebirth of SaaS
The major SaaS platforms hold the detailed business context needed by AI. For most ops teams, AI is just a different way of using existing apps.
The Context Imperative
AI needs detailed business context to work effectively. That context already exists. It just needs to be collected and organised.
The AI Adoption Slow Lane
As AI becomes embedded within tech stacks, the key challenge is to find a workflow that allows both humans and agents to interact with apps.
The SaaS Doom Bubble
According to the stock market, SaaS is legacy technology. Some SaaS companies do have an AI problem, for most, AI is just another feature.
Beyond Dependency: The Martech Risk
Martech is integral to the success of any marketing program. Yet, that synergy of technology and strategy creates governance and security risks.