From Data to AI: How ProArch Transforms Industries with Smart Start and Microsoft Solutions with Santosh Kaveti

Business of Tech: Daily 10-Minute IT Services Insights

Santosh Kaveti, founder and CEO of ProArch, discusses the critical steps organizations must take to operationalize AI effectively. His company specializes in helping clients across various sectors, including power, manufacturing, and healthcare, bridge the gap between IT and operational technology systems. Kaveti emphasizes the importance of data readiness as a prerequisite for AI readiness, arguing that without proper data governance, organizations cannot successfully implement AI solutions. He outlines a structured approach to AI adoption, starting with individual user empowerment and progressing through workflows and custom AI applications.

Data governance is a central theme in Kaveti's discussion, where he clarifies that it does not necessarily require perfectly structured data but rather a solid understanding of data risks and access controls. He notes that many organizations, particularly small and mid-sized businesses, are often unprepared for the data governance necessary to support AI initiatives. Kaveti suggests that organizations can achieve significant improvements by implementing basic data classification and access controls, which can lead to a more effective AI journey.

Kaveti also highlights the differences in AI adoption across industries, noting that compliance drives many organizations in healthcare, while critical infrastructure sectors often mistakenly believe that their locked-down environments ensure security. He points out that a lack of understanding of data risks can lead to vulnerabilities, regardless of the perceived security measures in place. This misconception is prevalent among SMBs, which often overlook the importance of data hygiene and governance.

Finally, Kaveti shares real-world examples of how ProArch has successfully implemented AI solutions for clients, illustrating the tangible benefits of AI in improving operational efficiency. He emphasizes that AI should not be confused with mere automation, as true AI applications can enhance productivity and decision-making. By focusing on the integration of AI tools and ensuring they work cohesively, organizations can unlock the full potential of AI to drive business transformation.

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