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.
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.
Demand Agents: AI Enters the Enterprise
2025 has been the year of agentic hype, if not of agentic rollouts. However, AI agents are seeing adoption as part of broader automation flows.
Enter the Agentforce Enterprise
For the past year, Agentforce has been hype and beta software. Dreamforce showed the first glimpses of a mature vision for the AI-first Salesforce.
Unlocking the Web: Research Agents
Data quality is a constant challenge. Third party data providers help, but don't deliver the results needed. AI offers an additional solution.
The Loop Beyond Inbound Marketing
AI has disrupted PPC and transformed SEO. A new inbound marketing playbook is needed. Enter HubSpot. Will Loop Marketing be enough?
Revolution When: AI and the Open Web
Marketers and publishers have long benefited from search engines. Today, search threatens the web. A new deal is needed before AI bankrupts itself.