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MLOps and AI-Driven Data Monetization are Poised to Disrupt Indian Business Models: Peeyoosh Pandey, CEO, Hoonartek

By: Bhavya Bagga

by Bhavya Bagga
December 6, 2024
in Exclusive
Reading Time: 4 mins read
Peeyoosh Pandey, CEO, Hoonartek

Peeyoosh Pandey, CEO, Hoonartek

Summarize with:

In an exclusive conversation with CXO News and APAC News Network, Peeyoosh Pandey, CEO, Hoonartek explains how data analytics and GenAI are redefining Indian industries

How do you see AI and data analytics transforming businesses, and what role does Hoonartek play in this shift?

AI and data analytics are fundamentally reshaping industries by enabling businesses to make data-driven decisions, predict disruptions, automate processes, enhance customer engagement, and innovate faster. Hoonartek plays a pivotal role by providing tailored solutions that integrate data, digital platforms, and AI technologies to unlock business value.

Our expertise in Data Governance, generative AI, predictive analytics, and conversational AI empowers organizations across sectors like finance, telecom, and manufacturing to optimize operations, improve decision-making, and enhance customer experiences. By leveraging industry-ready solutions such as RealizeAI, we provide scalable, secure, and intelligent solutions that help businesses stay competitive in the digital age.

 How are AI and data-driven technologies reshaping digital banking and lending in India?

In India, AI and data-driven technologies are redefining digital banking and lending by improving risk management, regulatory compliance, and customer-centric services. It is allowing banks to improve customer experience and support while minising risks.

Hoonartek offers data-centric solutions, including risk data marts, Data Goverance and compliance frameworks, and AI-driven automation to help financial institutions handle massive data volumes effectively. Our expertise in delivering clean data pipeline to ML models, Model management capabilities along with MLOps and FinOps help delivery solutions like AML, know-your-customer (KYC), and credit risk analytics. It enables banks to meet stringent compliance requirements while delivering seamless digital experiences to customers. This also contributes to greater financial inclusion and personalized services in the region.

What unique opportunities and challenges does the Indian market present for data and AI companies compared to global markets?

India presents unique opportunities due to its massive, diverse population, growing digital adoption, and push for initiatives like Digital India and financial inclusion. However, ongoing challenges include navigating complex regulatory landscapes, ensuring data security, and addressing diverse consumer needs across urban and rural areas.

Hoonartek capitalizes on these opportunities by offering customized solutions rather than packaged services which aligned with local regulations and market demands. Our ability to implement scalable, compliant, and localized solutions makes us a trusted partner for Indian businesses embracing digital transformation.

What recent advancements in AI and data have the potential to disrupt Indian business models, and how is Hoonartek capitalizing on them?

Advancements in generative AI, machine learning operationalization (MLOps), and AI-driven data monetization are poised to disrupt Indian business models. These technologies are enabling new revenue streams, automating decision-making, and fostering innovation across sectors.

Hoonartek is at the forefront, using RealizeAI to deliver generative, predictive, and conversational AI applications that enhance efficiency and customer engagement. Our expertise in legacy modernization, Data migration, and data governance ensures businesses can adapt quickly and deliver effectively to these advancements.

 How do you adapt Hoonartek’s solutions to meet the regulatory and market demands of regions like the US or Europe?

Hoonartek customizes its solutions to align with the regulatory frameworks and compliance standards of specific regions, such as GDPR in Europe and data privacy regulations in the US. Their data governance CoE focuses on ensuring data security, standardization, and lineage, enabling organizations to maintain compliance while leveraging advanced AI tools. By partnering with global platforms like Snowflake, Databricks, Experian, Ab Initio, and Salesforce, Hoonartek delivers solutions tailored to regional business needs, ensuring operational efficiency and compliance.

With the rise of smart cities in India, how is Hoonartek contributing to the demand for AI and data solutions in digital infrastructure?

Hoonartek contributes to the smart city ecosystem by offering solutions that integrate AI and data for real-time decision-making, resource optimization, and citizen services. Our data platform and IoT solutions enable government bodies to analyze vast datasets, improve operational efficiency, and create sustainable, data-driven urban environments. By leveraging our expertise in cloud migration, IoT integration, and AI-driven analytics, Hoonartek helps build a robust digital infrastructure that supports the growth of smart cities in India.

These insights demonstrate how Hoonartek’s capabilities address evolving business challenges while leveraging AI and data analytics to drive transformation across industries.

Bhavya Bagga, APAC News Network

Summarize with:
Tags: AI-driven dataCEO HoonartekMLOpsPeeyoosh PandeyPeeyoosh Pandey CEOPeeyoosh Pandey CEO Hoonartek
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