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AI & Automation3 min read22 June 2026

Owning Intelligence in Enterprise Automation

The future of enterprise success relies on owning intelligence, not just renting models from hyperscalers. This approach enables businesses to automate processes more effectively and make data-driven decisions.

The Signal

The CEO of InstaLILY, Amit Shah, emphasizes that owning intelligence is crucial for future enterprise success. This statement highlights the importance of developing and controlling one's own AI and automation capabilities, rather than relying on external providers.

Why It Matters

Owning intelligence allows enterprises to automate processes more effectively, as they have full control over the development and deployment of their AI systems. This approach also enables businesses to make data-driven decisions, as they have access to their own data and can analyze it to inform their decision-making processes.

Where It Gets Practical

In practical terms, owning intelligence means that enterprises need to invest in developing their own AI and automation capabilities. This can involve hiring data scientists and engineers, investing in AI research and development, and deploying AI systems within their organizations. For example, Aniai's AI-powered grill automation system for high-volume restaurant kitchens demonstrates the potential of owned intelligence in streamlining operations and improving efficiency.

The Constraint

However, owning intelligence also comes with significant constraints. Developing and maintaining AI systems requires significant resources, including talent, data, and infrastructure. Additionally, there are risks associated with AI development, such as bias in AI decision-making and the potential for AI systems to be used maliciously.

What I Would Try First

To start owning intelligence, I would recommend that enterprises begin by identifying areas where automation can have the most impact. This could involve analyzing business processes, identifying bottlenecks, and determining where AI can be used to improve efficiency and decision-making. From there, enterprises can start investing in AI research and development, hiring talent, and deploying AI systems within their organizations. PubMatic's programmatic CTV platform, which allows creators to monetize their content, is an example of how owned intelligence can be used to drive innovation and revenue growth.

Sources

Citation

Artenis Alija. "Owning Intelligence in Enterprise Automation." 2026. https://artenisalija.com/blog/owning-intelligence-in-enterprise-automation/

https://artenisalija.com/blog/owning-intelligence-in-enterprise-automation/

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