Interview with AI Squared's CEO and President, Darren Kimura
In the realm of artificial intelligence (AI), the integration of AI models into existing enterprise systems can be a daunting task. AI Squared, a leading AI solutions provider, addresses these challenges head-on, focusing on streamlining the process and bridging the gap between powerful AI models and practical business usage.
The key issues that AI Squared targets include slow, complex integration processes and disconnects between AI models and end users, which are largely responsible for the 87% of AI projects that never make it to production. Enterprises face difficulties in securely connecting AI/ML models with diverse data sources and operational tools like Salesforce, ERPs, and collaboration platforms such as Slack or Teams.
AI Squared's innovative solutions aim to make this integration process smoother and more user-friendly. Their low-code platform enables the seamless embedding of AI insights directly into tools that employees already use, reducing the friction of adoption and enhancing usability.
Moreover, AI Squared offers a national security-grade data integration pipeline that securely connects AI/ML models with data platforms like Databricks or Snowflake, and bridges these to enterprise systems to deliver insights where business users work. This ensures a secure and efficient flow of data, addressing a significant concern for enterprises.
The company also simplifies the handoff from data science teams to business users by allowing secure model deployment on their platform while delivering actionable insights through familiar interfaces rather than separate dashboards or SQL queries. This user-centric approach is a game-changer in the AI landscape.
AI Squared prioritises compliance, transparency, ethics, and security, adhering to zero-trust principles, auditability, traceability, and governance models shaped by experience working with the NSA and U.S. Navy. This commitment to ethical AI is evident in their work, ensuring that their solutions are precise, interpretable, and efficient, making them ideal for high-stakes environments.
User reviews confirm that AI Squared's integration enables fast access to custom data and AI-driven insights within existing apps, such as Teams, accelerating decision-making and improving customer satisfaction without complex querying.
AI Squared serves clients in finance, supply chain, and government, and for federal agencies, Discriminative AI enables faster triage, risk detection, and prioritization. The company's focus on moving AI from the lab into everyday use is evident in their approach, as demonstrated by Darren Kimura, the President & CEO of AI Squared.
Darren Kimura's experience scaling ZEDEDA and working in venture capital has shaped his approach to AI deployment at the enterprise level. Success for AI Squared under his leadership means becoming the default way enterprises and government agencies operationalize AI, reducing time-to-value, and making AI deployment as seamless and secure as launching a new feature.
The opportunity in AI adoption lies in accelerating situational awareness and decision velocity. AI Squared's platform is model-agnostic, allowing organisations to securely deploy and manage various models within their existing workflows.
Three emerging trends in enterprise AI over the next 3-5 years are LLMs that are truly multi-modal and focused on specific tasks, Agentic AI systems that take action, and Standardized governance that enables AI adoption in regulated industries.
However, companies often make mistakes when deploying GenAI by focusing on novelty over necessity, lacking a clear use case, governance plan, or success metric. AI Squared joins these organisations in the pursuit of responsible AI adoption, with ethics, compliance, and transparency being top considerations on their product roadmap.
To learn more about AI Squared and their innovative solutions, readers are encouraged to visit the company's website.
- AI Squared's solutions, focusing on cybersecurity, aim to securely connect AI/ML models with diverse data sources and operational tools, bridging the gap between powerful AI models and practical business usage in the realm of data-and-cloud-computing.
- In the landscape of artificial-intelligence, AI Squared's low-code platform seamlessly embeds AI insights into tools that employees already use, promoting usability and enhancing the integration process, which is often a significant challenge for enterprises.
