Darren Kimura discusses his role as CEO and President of AI Squared in an interview series.
In the realm of artificial intelligence (AI), one company is making waves by bridging the gap between data science teams and business users, and simplifying the integration of AI into existing enterprise systems. That company is AI Squared.
Led by President and CEO Darren Kimura, a seasoned executive with a background in leading companies across technology and clean energy sectors, AI Squared is on a mission to become the default way enterprises and government agencies operationalize AI.
The challenge in integrating AI into existing enterprise systems, often referred to as the "last mile" issue, is a significant hurdle that AI Squared aims to overcome. According to reports, 87% of AI projects fail to reach production due to slow, complex, and disconnected integration processes across business tools.
AI Squared's solution is a low-code platform that embeds AI insights directly into systems enterprises already use, such as Salesforce, Slack, or Google Workspace. This platform builds a secure, national security-grade data integration pipeline that connects AI/ML models with major data sources (e.g., Databricks, Snowflake) and enterprise software (CRMs, ERPs, custom apps), enabling business users to get insights seamlessly within familiar workflows.
One of the key advantages of AI Squared's platform is its ability to unify disjointed data sources for fast querying and real-time insights. This addresses the enterprise pain point of fragmented data and operational complexity in AI adoption.
Moreover, AI Squared prioritizes compliance, governance, and ethical deployment parameters. Given collaboration with federal agencies such as the NSA and U.S. Navy, the platform integrates traceability, auditability, and explainability features within a zero-trust security framework, supporting governance and secure deployment environments.
AI Squared's platform is model-agnostic, allowing organizations to securely deploy and manage various models within their existing workflows. This flexibility has been praised by users for its easy integration, rapid deployment, and ability to deliver actionable insights without workflow disruption.
Kimura's experience at ZEDEDA and in venture capital has shaped his approach to AI deployment at the enterprise level. He joined AI Squared due to the company's focus on deploying AI, not just building models. This focus is evident in the company's strategy, which is to solve the "last mile" of AI deployment with low-code tools embedded in existing business software, create secure, scalable data pipelines that connect AI models directly to business systems, and prioritize compliance, governance, and ethical deployment parameters.
AI Squared serves clients in finance, supply chain, and government, helping them avoid common mistakes companies make when deploying AI, such as focusing on novelty over necessity, lacking a clear use case, governance plan, or success metric.
As AI continues to revolutionize industries, AI Squared is at the forefront of making this technology accessible and beneficial for enterprises and government agencies, enabling real-time decision-making and accelerating situational awareness and decision velocity, while mitigating risks associated with unmanaged autonomy.
[1] AI Squared. (n.d.). Retrieved from https://aisquared.com/ [2] AI Squared. (2021, January 27). Retrieved from https://aisquared.com/blog/ [3] AI Squared. (2021, March 10). Retrieved from https://aisquared.com/case-studies/
AI Squared, led by Darren Kimura, is focusing on cybersecurity and compliance, aiming to become the default solution for enterprises and government agencies as they operationalize AI. To tackle the complexity of integrating AI into existing systems, known as the "last mile" issue, AI Squared has developed a low-code platform that securely connects AI/ML models with major data sources and enterprise software, easing the adoption of AI in data-and-cloud-computing environments.
