Hi everyone,
In the early 2010s, we entered a new phase of enterprise software development with systems of engagement, a term popularized by Geoffrey Moore. These SaaS tools revolutionized the workplace – managing messy, unstructured data like conversations, collaborative documents, and media. They enabled dynamic and ad-hoc work environments, forever changing how enterprises operated.
Now, in the mid-2020s, we are transitioning into the era of systems of intelligence. These systems combine enterprise data, workflows, and AI to process both structured and unstructured data, creating insights and enabling automation. Unlike their predecessors, systems of intelligence become more powerful as they process larger amounts of data, turning what was once noise into actionable insights.
Here are the defining elements of this new wave:
• Homogenization of Data: Systems of intelligence combine AI’s ability to process unstructured data (like documents and communications) with traditional structured data.
• AI Agents: Native to these systems, AI agents act as force multipliers, expanding the workforce’s productivity and enabling seamless collaboration between people and AI.
• Dynamic Interconnectivity: With agentic AI, systems now communicate in a human-like manner. Instead of rigid APIs, they dynamically query, synthesize, and adapt their requests across other systems.
From finance to supply chain operations, every domain of work will adopt systems of intelligence, dramatically reshaping B2B distribution. Buckle up – wild times are ahead.
Will you be at the NAW’s Executive Summit this week in DC? If so, ping us and say hello!
Spotlight AI Stories in January:
$500 Billion in AI Investment: A Game-Changer for Data Centers
Oracle, Softbank, OpenAI and other AI leaders have committed $500 billion to building AI-focused data centers in the U.S. These facilities will become the backbone of systems of intelligence, housing the vast computing power needed to support advanced AI models. This investment ensures that enterprises can harness AI’s potential at scale and that the US will have the best infrastructure for AI.
IT will be the HR of AI Agents
In a recent discussion, NVIDIA CEO Jensen Huang emphasized the transformative role of IT departments in the age of artificial intelligence. He envisions IT evolving into a human resources function for AI agents, managing and training these digital entities to enhance organizational efficiency. Huang highlighted the importance of developing AI agents capable of understanding and executing complex tasks, thereby augmenting human capabilities.
OpenAI Launches Operator: AI to hack your B2B eCommerce Site
OpenAI has unveiled Operator, an advanced AI agent designed to autonomously perform web-based tasks on behalf of users. The user gives Operator your login and password information so Operator can login to Uber, Kayak, OpenTable and other websites to handle activities such as purchasing groceries, booking travel, and filing expense reports.