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How modern AI is reshaping industries
PCQuest
|February 2025
Al-driven platforms are transforming industries, making businesses faster, smarter, and more efficient. From automating banking operations to extracting insights from unstructured data, AI is the future. The question isn't if businesses should adopt Al-but how fast they can
Artificial Intelligence (AI) isn't just a buzzword anymore-it's the driving force behind business transformation. From automating banking operations to deciphering unstructured data, Al-driven platforms are fundamentally reshaping industries.
Deepak Dastrala, Chief Technology Officer - India at IntellectAl, offers a frontrow perspective on how AI platforms are evolving, the innovations fueling them, and the trends shaping their future. In this exclusive conversation, he walks us through the AI revolution and why businesses can no longer afford to ignore it.
Al-Driven Platforms: The Future of Business Intelligence
"At a high level, businesses seek technology that makes processes faster, cheaper, and better. That's where AI plays a critical role." Deepak Dastrala
The core function of Al-driven platforms is to transform raw data into actionable insights. But how are modern AI platforms achieving this? The secret lies in a combination of machine learning, data fabric architectures, and intelligent automation.
The Al-Driven Transformation Journey
Deepak's journey in AI began nearly a decade ago when he took on the role of leading strategy and innovation at Intellect. Back then, AI was still in its infancy, and businesses were just beginning to explore its potential. Fast forward to today, and Al-driven platforms are making major strides, particularly in the Banking, Financial Services, and Insurance (BFSI) sector.
How did IntellectAl build its AI capabilities?
Understanding Market Needs: The team recognized that AI could fill gaps in financial operations, especially in risk assessment and automation.
Experimentation in Commercial Insurance: They began by applying AI in commercial insurance, where privacy concerns were manageable, before expanding into broader BFSI solutions.
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